{ "count" : 120987, "data" : [ { "id" : "6a2ca4bc74d8ee00a09b31cb", "title" : "Assistant Professor, Nursing Evaluator", "company" : "Nightingale Education Group", "salary" : { "min" : 83000.0, "max" : 87000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T04:39:38.346", "fingerprint" : "329d03bd4e02c68f333da20835d5b9ba3a0dfda451b4cad704a45c4c3950c032", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nightingalecollege/jobs/4281670009", "externalId" : "4281670009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMaxYears" : 1, "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Are you a nurse who is passionate about being an integral part of educating the next generation of nurses? Have you been dreaming about being part of an organization that really cares about people and really focuses on changing healthcare outcomes? We are looking for Master's and Doctorate-prepared nurses to evaluate learner submissions. Position Summary: Assistant Professor I, Evaluator for Nursing Education evaluates experiential learning performance of learners in accordance with course outcomes. Evaluation methods are accomplished through utilizing cutting-edge technologies, and other industry trends reflecting advancements in the discipline by promoting an interdisciplinary approach to advanced practice nursing education and healthcare delivery within and outside the College. The incumbent will be accountable for the assessment of the learners’ achievement in the program and is accountable for Nursing Education Services successful attainment of key performance indicators, program and functional outcomes, and the success of the College’s mission. Role and Responsibilities: Adheres to and holds learners accountable to syllabi and grading rubric expectations. Attends nursing faculty meetings, participates in committees, engages in shared decision-making, and participates in other faculty activities as required. Participates in the successful implementation of other functional projects as they arise. Qualifications and Education Requirements: Earned Master’s degree with a major in nursing from an accredited institution supplemented by 0-1 year of relevant experience. Active, unencumbered RN or APRN license from state of residence and ability to obtain RN and NP licensure in any jurisdiction required by the College, including a valid multi-state license. Either has an earned Certified Nurse Educator (CNE) credential or commits to obtaining this certification within a one-year period. Maintains current knowledge in multiple areas of nursing practice. Additional Contributions: Annual Professional Development, Service as SME, and Service on Committees. Learner load will be congruent with current faculty matrix for the assigned course(s). Budgeted Hiring Range: $83,000 - $87.000 USD All new hires are required to attend New Collaborator Orientation (NCO) in Salt Lake City, Utah. The College will cover travel, lodging, and other accommodations. Nightingale’s commitment to diversity and inclusion is reflected both in our learners and collaborators because we believe the best outcomes for learners from underserved and diverse populations are achieved through collaborators with similar backgrounds and cultures. Nightingale Education Group is an equal opportunity employer. Our Mission (not just words on the wall, we live it, love it, and daily contribute to it): With the primary focus on higher learning in healthcare professions, Nightingale Education Group contributes to elevating education, health, and employment systems through facilitation of academic achievement, personal growth, and professional development of its learners, alumni, and collaborators, while serving diverse communities. At Nightingale Education Group, our Innovative Education model helps transform rural health landscapes through our blended-distance learning platform. Every person involved with Nightingale Education Group helps to change the lives of our learners, our communities, and ultimately the world by adding to the quality of healthcare. We are proud to have graduated nearly 5,000 nurses serving communities in need. We are serious about our outcomes and have a little bit of fun getting there. The professional and personal development of our learners and our collaborators is our company’s foundation. Not only do we develop strategies that promote a positive work-life integration, but we also create an environment that invites you to become an expert in your field, be it through higher education or professional development. Put simply, we elevate employment, elevate health, and elevate education. We’re so happy that you’ve found us! 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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. City of Hope has an opening for an Assistant Professor in the Department of Hematology and Hematopoietic Cell Transplantation. As a successful candidate, you will: You will study how the microbiome can impact cancer, diabetes, and other life-threatening illnesses and treatment outcomes in these illnesses. You will generate hypotheses based on patient biospecimens and preclinical models. You will increase our understanding of how microbes can shape health and disease via effects on host cells and tissues. You will identify and evaluate strategies to introduce, target or modulate microbes to potentially prevent or benefit these illnesses, improve response rates, or reduce toxicities Your qualifications should include: MD or PhD degree and have a demonstrable record of accomplishments, peer-reviewed publications and extramural funding in related research. Experience in microbiome science. Preferred qualifications: Postdoctoral Training required. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . 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D. in physics or related field, Ph. D. in hand by appointment, Complete Ph. D. within one year of hire", "qualificationsPreferred" : "Postdoctoral research experience, Teaching experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WESLEYAN UNIVERSITY TENURE-TRACK ASSISTANT PROFESSOR OF PHYSICS **Special Instructions to Applicants:** You will be asked to upload electronic versions of the following items: (1) a cover letter, (2) a curriculum vitae, (3) a teaching statement, and (4) a research statement outlining how your research will operate at Wesleyan. In the cover letter, applicants should describe how they will embrace the college’s commitment to fostering an inclusive community. You will also be asked to provide the email addresses of three referees from whom we may obtain confidential letters of recommendation (please double-check the accuracy of the email addresses of the referees you name to ensure that we have the most up-to-date email addresses for each). After applying, you will receive an email from Workday asking you to provide the contact information for your referees. At that point, each of your referees whose email addresses you have provided will receive an automatically generated email requesting that they submit a letter of reference for you. **Position Details:** The Physics Department at Wesleyan University is seeking to fill a tenure-track position at the Assistant Professor level to begin on July 1, 2027. We invite applications from candidates who show promise in developing an independent, funded research program in quantum physics or the development and application of AI methods to physics, with research involving both graduate and undergraduate students. Research areas of particular interest include, but are not limited to, photonics, quantum information, quantum sensing, quantum optics, quantum materials, AI-enabled materials discovery and optimization, physical computing, and developing AI-driven solutions for physics applications. Candidates should consider how their research could create synergies with existing work in the physics department and other programs on campus. Candidates should be committed to a physics teaching philosophy that embraces modern pedagogy at all levels. Wesleyan offers a unique opportunity to thrive in a PhD-granting department at a leading liberal arts university, providing significant institutional support in the form of start-up funds, renovated lab space, and graduate research assistants. Substantial machine shop, analytical instrumentation, and computational resources are available. Collegial faculty interaction includes career mentoring, participation in pedagogical innovation, and a shared commitment to promoting a welcoming community within physics and the University at large. The duties of this position encompass conducting an active research program, teaching one in-person course per semester, organizing a small seminar, advising and mentoring students, and participating in faculty governance at the departmental and university levels. **Minimum Qualifications:** Ph.D. in physics or a closely related field in hand by the time of appointment to be hired as an Assistant Professor; a successful candidate may be hired as an Instructor if the candidate does not have a Ph.D. in hand at the time of appointment, but will complete the Ph.D. in physics or a closely related field within one year of hire. Special consideration will be given to candidates with postdoctoral research experience or equivalent, and to those with teaching experience, which may include teaching as a graduate student. **Additional Information:** Review of applications will begin on October 9, 2026, and will continue until the position is filled. Please contact Dana Gordon-Gannuscio at dgordongannu@wesleyan.edu if you have questions about the application process. **To apply: ** Work Location: On Campus All offers to external applicants are contingent on the candidate’s completion of a [pre-employment background check screening](https://www.wesleyan.edu/hr/pdfs/Wesleyan%20University%20Background%20Check%20Policy_.pdf) to the satisfaction of Wesleyan University. Wesleyan University, located in Middletown, Connecticut, does not discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability or physical disability, political belief, veteran status, sexual orientation, genetic information or non-position-related criminal record. We welcome applications from women and historically underrepresented minority groups. Inquiries regarding Title IX, Section 504 or any other non-discrimination policies should be directed to Vice President for Equity and Inclusion, Title IX and ADA/504 Coordinator. Wesleyan University complies with the Clery Act and maintains records of campus crime statistics and security policies. Copies of Wesleyan University’s Clery Act Report are available on request and online at [https://www.wesleyan.edu/publicsafety/clery.html](https://www.wesleyan.edu/publicsafety/clery.html). Experience is taken into consideration in the determination of salary offers. For more information visit [https://www.wesleyan.edu/hr/handbook/compensation-practices/index.html](https://www.wesleyan.edu/hr/handbook/compensation-practices/index.html) Wesleyan offers a broad range of employee benefits and development opportunities, including comprehensive group insurance plans, wellness programs and incentives, generous paid time off and retirement plans, flexible work schedules, employee and dependent tuition programs for those who qualify. Detailed information on the benefits of working at Wesleyan is located at: [https://wesleyan.edu/hr/careers/prospective-resources.html](https://wesleyan.edu/hr/careers/prospective-resources.html).", "summaryDescription" : "Assistant Professor of Physics at Wesleyan University. Skills: Quantum physics research, AI for physics, Physics teaching. Conduct research program. Teach in-person course", "postedDate" : "2026-06-12T03:47:12.505", "createdAt" : "2026-06-16T03:47:12.457", "lastUpdated" : "2026-06-16T13:04:44.709", "ingestTimestamp" : "2026-06-16T03:47:12.457", "mongoId" : "6a305609f292fd229cf2457c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://wesleyan.wd5.myworkdayjobs.com/careers/job/Middletown-CT-Main-Campus/Assistant-Professor-of-Physics_R101237", "salaryAnnualMin" : 85000, "salaryAnnualMax" : 120000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Quantum mechanics", "Artificial intelligence", "Materials discovery", "Physics applications", "Quantum physics research", "AI for physics", "Physics teaching", "Research program development", "Funded research program", "Pedagogical innovation", "Career mentoring", "Faculty governance", "Quantum information science", "Quantum sensing", "Quantum optics", "Quantum materials", "AI in materials discovery", "AI for physics applications" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 612.2653, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306097f292fd229cf91378", "title" : "Computer Operator", "company" : "CompTech Computer Technologies", "salary" : { "min" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Onsite USA", "locations" : [ "Onsite USA" ], "timestamp" : "2026-06-16T08:27:52.718", "fingerprint" : "d95ed32fa97cacb25ed65bd56274c5b6ba6cde3b69e6f41bbb724a80a10e96a1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/comptechcomputertechnologies/jobs/5263282008", "externalId" : "5263282008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Richmond", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5385087,-77.4342800" } ], "locationText" : "Richmond, Virginia, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "WELCOME TO COMPTECH Good people. Dedicated People. Hard-working people. CompTech is a service-oriented program management and technical company working to build lasting relationships with small and large companies, municipalities, and Government agencies. Headquartered in Dayton, OH, our clients nationwide are provided with services in client-focused practice areas resulting in solutions to organizational challenges. Job Description Job Title: Computer Operator Location: Richmond, VA (on-site) Supporting: The Defense Logistics Agency (DLA) **Secret Security Clearance** Overview CompTech is seeking a qualified Computer Operator to support the Defense Logistics Agency (DLA). The ideal candidate will assist in the technical operation and testing of fully integrated computer-based systems in a supervised environment. This position requires local travel using personal vehicle, company van, cart or other motorized vehicle. Scope of Work Key responsibilities include: Ultimate accountability for ensuring customer satisfaction at every level. Cultivate collaborative relationships with peers and leadership in a team focused environment, always communicating effectively and displaying diplomacy. Proven ability to effectively manage and prioritize a diverse workload of assigned service tickets. Flexible, with the ability to seamlessly transition from daily operations to project actions, and vice-versa. Demonstrated ability to quickly adapt to new policies and evolving technologies within this dynamic technical environment. Adept at interpreting and adhering to guidance and Standard Operating Procedures (SOPs) provided by contract and government leadership. Proficiency in operating a diverse range of system components, including hardware, software, and mass storage technology. Capability, under supervision, to operate communications-computer systems, as well as install, implement, maintain, and optimize operating systems, disk and tape management systems, and computer operations automation software. Anticipates problems, identifies deviations and acts through resolution. Perform other duties as required. Knowledge, Skills, and Certification Requirements: Excellent interpersonal and communication skills One (1) year of Help Desk or Deskside Support experience DLA CE Cert IA Role/Function: Help Desk Tier II & III - may be obtained upon hire Security+ CE Security Clearance Requirements: Secret Salary: $50k plus full benefits, PTO, 401k+ Equal Employment Opportunity CompTech is committed to building a diverse and inclusive environment in which we recognize and value each other’s differences as well as fostering a culture that promotes its core values: Commitment, Innovation, and Customer Satisfaction. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran. If you require assistance or an accommodation due to a disability, please call Human Resources at (937) 228-2667 or email stefanie.wallace@comptech.com. 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We champion being a collaborative health care organization, focused on improving patient care and the lives of Arkansans. The safety of our team members at the University of Arkansas for Medical Sciences is our top priority. For this reason, successful applicants for this position must be fully vaccinated against Covid-19 or have an approved medical or religious exemption on file with our Student & Employee Health Services dept. UAMS will adhere to all federal, state and local regulations and will obtain necessary proof of vaccination prior to employment to ensure compliance. Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the **Apply** link/button. The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator _at this link_ and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority to work in the United States on the first day of employment. All application information is subject to public disclosure under the Arkansas Freedom of Information Act. For general application assistance or if you have questions about a job posting, please contact Human Resources at**** [askrecruitment@uams.edu](mailto:askrecruitment@uams.edu). ## **Department:** COM | CW Surgery Vascular ## **Summary of Job Duties:** Patient Care ## **Qualifications:** MD **Additional Information:** ## **Special Instructions to Applicants:** _All application materials must be uploaded to the University of Arkansas System Career Site[ https://uasys.wd5.myworkdayjobs.com/UASYS](https://uasys.wd5.myworkdayjobs.com/UASYS) _ _Please do not send to listed recruitment contact._", "summaryDescription" : "Assistant Professor at University of Arkansas for Medical Sciences. Skills: Patient Care. Patient Care", "postedDate" : "2026-06-11T13:30:45.456", "createdAt" : "2026-06-11T13:30:45.234", "lastUpdated" : "2026-06-12T15:52:52.875", "ingestTimestamp" : "2026-06-11T13:30:45.234", "mongoId" : "6a2a41f574d8ee00a05caae5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://uasys.wd5.myworkdayjobs.com/UAMS_CW_Career_Site/job/UAMS/Assistant-Professor_R0086916", "salaryAnnualMin" : 75000, "salaryAnnualMax" : 120000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Patient Care" ], "skillCount" : 1, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 554.7788, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a305708f292fd229cf32d58", "title" : "Senior Compute Platform Engineer", "company" : "Stack AV", "industry" : "Technology", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Compute Platform Engineer in Pittsburgh, adjusted for seniority and technology industry." }, "location" : "Pittsburgh/Remote", "locations" : [ "Pittsburgh/Remote" ], "timestamp" : "2026-06-16T08:58:59.050", "fingerprint" : "83cdbb29857f8e4b39493280f72155781d92622969b5333c1969443611f1524e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/stackav/jobs/5165201007", "externalId" : "5165201007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Pittsburgh, Pennsylvania, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Golang, Python, Kubernetes, Container orchestration", "professionalSkills" : [ "System design", "Developer experience" ], "hardSkillsList" : [ "Batch compute systems", "Distributed systems" ], "hardSkills" : [ { "name" : "Batch compute systems", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "majorSkills" : "Compute platform, Distributed systems, Developer experience", "majorSkillsList" : [ "Compute platform", "Distributed systems", "Developer experience" ], "coreResponsibilities" : "Design distributed systems, Operate distributed systems, Schedule large-scale batch workloads, Execute large-scale batch workloads, Build compute platform abstractions, Maintain compute platform abstractions, Optimize compute resource utilization, Develop multi-tenant scheduling strategies, Improve platform reliability, Improve platform fault tolerance, Collaborate with teams, Understand workload requirements, Improve platform capabilities, Contribute to platform tooling, Contribute to platform automation, Contribute to CI/CD workflows", "teamCollaboration" : "Collaborate across teams", "domainKnowledge" : "Distributed systems; Cloud technologies; Batch compute systems; Workflow orchestration", "domainList" : [ "distributed-systems", "cloud-technologies", "batch-compute-systems", "workflow-orchestration" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud technologies", "Batch compute systems", "Workflow orchestration" ], "communicationSkills" : "Communicate technical concepts", "problemSolvingSkills" : "Debugging; Problem-solving", "specialRequirements" : "U.S. national security laws compliance, U.S. export control regulations compliance", "qualificationsBasic" : "7+ years experience building distributed systems, Kubernetes production experience, Golang development proficiency, Python development proficiency, Large-scale batch compute systems experience, Debugging complex distributed systems, Problem-solving complex distributed systems, Collaborate across teams, Communicate technical concepts clearly, Batch scheduling system experience", "qualificationsPreferred" : "Experience with Kueue, Experience with Armada, Experience with Volcano, Experience with Slurm", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. About the Role: The Compute Platform team is responsible for designing and operating the systems that orchestrate and scale batch and distributed workloads across our environments. You will work at the intersection of infrastructure, distributed systems, and developer experience–ensuring that complex workloads are reliable, efficient, and easy to run. As a Senior Compute Platform Engineer, you will design and operate high scale batch compute systems and workflow orchestration systems that power engineers across the company. Responsibilities: Design and operate distributed systems for scheduling and executing large-scale batch workloads across Kubernetes clusters. Build and maintain compute platform abstractions. Optimize utilization of compute resources. Develop and improve multi-tenant scheduling strategies. Improve reliability and fault tolerance of large-scale distributed jobs and platform components. Collaborate with teams across the company to understand workload requirements and improve platform capabilities. Contribute to platform tooling, automation, and CI/CD workflows. Qualifications: 7+ years of experience building and operating distributed systems or infrastructure platforms. Strong experience with Kubernetes and container orchestration in production grade environments. Proficiency developing in Golang and Python. Experience designing and operating large-scale batch compute systems. Strong debugging and problem-solving skills in complex distributed systems. Ability to collaborate across teams and communicate technical concepts clearly. Experience with at least one batch scheduling system such as Kueue, Armada, Volcano, or Slurm. We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our Privacy Policy. Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U. S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U. S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U. S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U. S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U. S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.", "summaryDescription" : "Senior Compute Platform Engineer at Stack AV. Skills: Compute platform, Distributed systems, Developer experience. Design distributed systems. Operate distributed systems", "postedDate" : "2026-06-15T23:17:43.199", "createdAt" : "2026-06-15T23:17:43.199", "lastUpdated" : "2026-06-16T08:58:59.050", "ingestTimestamp" : "2026-06-15T23:17:43.199", "mongoId" : "6a305708f292fd229cf32d58", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Batch compute systems", "Distributed systems", "Compute platform", "Developer experience", "System design", "Cloud technologies", "Workflow orchestration" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 533.4348, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307d6ff292fd229c04d3a2", "title" : "Computer Science Teacher", "company" : "IOTA Community Schools", "industry" : "Primary/Secondary Education", "salary" : { "min" : 53000.0, "max" : 75250.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Memphis, TN, United States", "locations" : [ "Memphis", "TN", "United States" ], "certifications" : [ "Tennessee teaching license", "Out of state license", "Practitioner license" ], "timestamp" : "2026-06-16T10:43:56.971", "fingerprint" : "39149a9b7ffb60d17002409144cbf6b74806858b775bf33c243292c807d0c368", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/IOTACommunitySchools/3743990013626876-computer-science-teacher-", "externalId" : "3743990013626876", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Memphis", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.1460260,-90.0517786" } ], "locationText" : "Memphis, Tennessee, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "coreResponsibilities" : "Attend professional meetings, Attend educational conferences, Attend teacher training workshops, Attend staff meetings, Serve on committees, Instruct students in content area, Demonstrate content knowledge, Use audio-visual aids, Use materials to supplement presentations, Engage student learning, Work as part of interdisciplinary team, Plan curricula, Align curricula, Ensure instruction follows guidelines, Set short-term goals, Set long-term goals, Develop weekly lesson plans, Develop long range lesson plans, Submit weekly lesson plans, Submit long range lesson plans, Review homework, Evaluate pupil progress using data, Record pupil progress results, Issue reports to parents, Create student intervention plans, Implement student intervention plans, Maintain student management policies, Maintain student management procedures, Report to school administrators, Maintain supervision in classroom, Maintain discipline in classroom, Address student needs, Resolve student needs, Provide necessary accommodations, Provide necessary modifications, Participate in faculty meetings, Participate in professional meetings, Lead student activities, Participate in student activities, Sponsor student activities, Sponsor student organizations, Coach a sports team, Work with parents, Work with community, Provide morning supervision, Provide after school supervision, Chaperon student activities, Abide by state mandates, Abide by federal mandates, Report sexual abuse, Report physical abuse, Report neglect, Perform other duties as assigned", "teamCollaboration" : "Interdisciplinary team; Work with teachers; Work with administrators", "domainKnowledge" : "Computer Science; CTE", "domainList" : [ "computer-science", "cte" ], "domainSpecificKnowledge" : [ "Computer Science", "CTE" ], "documentationSkills" : "Lesson plans; Grades; Reports", "continuousLearning" : "Professional development; Teacher training workshops; Educational conferences", "problemSolvingSkills" : "Student intervention plans", "qualificationsBasic" : "Bachelor's degree required, Valid Tennessee teaching license, Valid out of state license, On track for Tennessee certification, Practitioner license enrollment, Belief in the IOTA mission, Ability to meet deadlines", "qualificationsPreferred" : "Graduate coursework completion", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "IOTA Community Schools is a network of four public charter schools in Memphis, Tennessee. We operate both \"fresh start\" schools and \"zoned-enrollment\" turnaround schools. From 6th through 12th grades, our schools serve predominantly minority and low-income populations likely to be first-generation college attendees. IOTA Community Schools seeks a High School Computer Science (CTE) teacher in the Memphis area for the upcoming school year. We truly believe that every student, whatever their circumstances, holds the innate potential to achieve their goals and succeed. Our staff is committed to continuing their own learning and refining their practice to stay current in the field ensuring a quality education for all. IOTA offers specialized professional development, bi-weekly observations, and opportunities to grow and develop to enable strong teaching and learning in every classroom. We are looking for teachers that are passionate about ensuring that all students have access to a high-quality education regardless of their zip code or socio-economic status. Position Responsibilities: * Attend professional meetings, educational conferences, and teacher training workshops to maintain and improve professional competence. Attend staff meetings, and serve on committees as required. The approximate school day for staff runs from 7:30 a.m. to 3:30-4:30 p.m. * Effectively instruct students in assigned content area(s) as prescribed by IOTA's academic content standards through direct instruction, demonstrating, and using audio-visual aids and other materials to supplement presentations with the overall goal of engaging student learning. * Work as part of an interdisciplinary team and within content areas planning and aligning curricula to ensure that instruction follows curriculum guidelines or requirements of state and school. * Set clear short-term and long-term goals to drive instruction. * Develop and submit weekly and long range lesson plans containing standards, objectives, essential questions, assessments and lesson plans; assign lessons and review homework. * Consistently use data to evaluate pupil progress, record results, and issue meaningful reports to inform parents of progress. * Create and implement student intervention plans when necessary for students. * Maintain the school's student management policies and procedures (i.e. attendance records, dress code, etc.) and report to the school administrators when necessary. * Maintain effective supervision and discipline in the classroom. * Work with other teachers and administrators to address and resolve student needs. * Provide necessary accommodations and modifications for growth and success of all students. * Participate in faculty and professional meetings, educational conferences, and teacher training workshops. * Lead and participate in student activities such as: sponsoring student activities or student organizations, coaching a sports team, working with parents and the community as part of a committee or group, provide morning or after school supervision, and chaperoning student activities. * Abide by all state and federal mandates in reporting sexual or physical abuse and neglect. * Other duties as assigned. ## Qualifications * Bachelor’s degree required * Candidates must have either (a) valid Tennessee teaching license with the appropriate content endorsement to teach or (b) a valid out of state license that can successfully be transferred to Tennessee within 90 days of employment, or (c) demonstrate you are on track to complete the necessary steps towards certification in Tennessee. If you do not hold a teaching license, you may qualify for a Practitioner license while you complete graduate coursework, but you must enroll in an EPP program. Please review here: https://www.tn.gov/education/licensing/educator-preparation/educator-preparation-programs-providers.html * Belief in the IOTA mission * Ability to meet deadlines related to lesson plan submission, grades, and other requirements * Humility, sense of humor, and rock-solid commitment to IOTA’s mission and the communities we serve ## Additional Information Our teacher salary is based on years of certified experience and ranges from $53,000-$75,250. We also offer comprehensive benefits plan as well as the opportunity to impact a growing, mission-driven organization that is committed to the success of all students. This employer strives for a balanced, productive workforce, which is diverse in terms of age, gender, and cultural identity. We do not base hiring or promotional decisions on factors other than performance and professional growth potential. Please note that we are unable to sponsor H1 VISA applicants.", "summaryDescription" : "Computer Science Teacher at IOTA Community Schools. Attend professional meetings. Attend educational conferences", "postedDate" : "2026-06-15T18:52:14.000", "createdAt" : "2026-06-16T01:38:37.414", "lastUpdated" : "2026-06-16T10:43:56.971", "ingestTimestamp" : "2026-06-16T01:38:37.414", "mongoId" : "6a307d6ff292fd229c04d3a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 53000, "salaryAnnualMax" : 75250, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Computer Science", "CTE", "Tennessee teaching license", "Out of state license", "Practitioner license" ], "skillCount" : 5, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 518.1033, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306d6ef292fd229cfd8878", "title" : "Professor of Counselling and Head of Discipline (Art Therapy and Counselling)", "company" : "Western Sydney University", "industry" : "Higher Education", "salary" : { "min" : 220000.0, "max" : 300000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Professor in Education in Parramatta, Australia, adjusted for seniority and industry." }, "location" : "Parramatta, New South Wales, Australia", "locations" : [ "Parramatta", "New South Wales", "Australia" ], "timestamp" : "2026-06-16T08:23:23.512", "fingerprint" : "26db2810d4c37f6f9aa5562b94f5b1d419e97b61c66bee4e6ad1ed26a51639aa", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternSydneyUniversity/6000000001155253-professor-of-counselling-and-head-of-discipline-art-therapy-and-counselling-", "externalId" : "6000000001155253", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Parramatta", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8139843,151.0026660" } ], "locationText" : "Parramatta, New South Wales, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "professionalSkills" : [ "Academic leadership", "Research leadership", "Teaching design", "Work-integrated learning" ], "hardSkillsList" : [ "Art therapy", "Counselling" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Art therapy", "level" : "intermediate" }, { "name" : "Counselling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Art Therapy, Counselling, Academic Leadership", "majorSkillsList" : [ "Art Therapy", "Counselling", "Academic Leadership" ], "coreResponsibilities" : "Shape the profile of Counselling, Strengthen the profile of Counselling, Support the art therapy discipline, Enhance the profile of art therapy", "teamCollaboration" : "Collaborative shaping", "domainKnowledge" : "Creative arts therapies; Person-centred counselling; Arts-in-health practice", "domainList" : [ "creative-arts-therapies", "person-centred-counselling", "arts-in-health-practice" ], "domainSpecificKnowledge" : [ "Creative arts therapies", "Person-centred counselling", "Arts-in-health practice" ], "innovationCreativity" : "Innovative training programs", "qualificationsBasic" : "PhD in a related discipline, Demonstrated excellence in teaching and learning design, Evidence of fostering educational excellence in others, Demonstrated experience in relationships with industry for research and teaching including work-integrated learning, Evidence of being role model for other academics seeking mentoring, guidance, advice and support, Proven leadership of research projects, Leadership of research teams, Success in attracting significant industry funding", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Opportunity [Western Sydney University](https://www.westernsydney.edu.au/) is a premier national and international destination for postgraduate clinical training and research studies in the fields of counselling, psychotherapy and creative arts therapies. Our experienced educators and emerging researchers have developed innovative training programs including a highly successful person-centred counselling program and an award-winning arts-led pedagogy for training art therapists and arts-in-health practitioners. We have written key texts that influence research, clinical education and professional practice, heightening discipline visibility for Arts Therapy and Counselling (ATC) within and beyond the University. Western Sydney University is seeking a Professor of Counselling with an outstanding record of academic leadership to join the Art Therapy and Counselling group within the School of Social Sciences. Beginning with a three year term as Head of Discipline, this is an opportunity to be a leader in collaboratively shaping and strengthening the profile of Counselling as an independent and growing discipline at a key moment of its professionalisation, and to collaboratively support the art therapy discipline to similarly enhance its profile. About You * A PhD in a related discipline. * Demonstrated excellence in teaching and learning design. * Evidence of fostering educational excellence in others. * Demonstrated experience in relationships with industry for research and teaching including work-integrated learning. * Evidence of being role model for other academics seeking mentoring, guidance, advice and support. * Proven leadership of research projects and leadership of research teams. * Success in attracting significant industry funding. Please refer to the [Position Description](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc9/687f73eddb0ab5ec2c02a323/a80bbdc9-7e22-4c54-9806-764ea3af19e0?r=s3-ap-southeast-2) for full details. Benefits We invest in the people who make our mission possible. Alongside a rewarding career, we offer a range of benefits designed to support your financial, personal and family wellbeing. * Financial benefits: Access to staff-only products and offers with selected banking partners, salary sacrifice options for onsite parking, and novated motor vehicle leasing. * Health and wellbeing support: Free Employee Assistance Program (EAP), complimentary annual flu vaccination, eligibility for Fitness Passport membership, and access to discounted private health cover. * Onsite childcare: Long day care and early learning services operate at our Campbelltown, Hawkesbury, Parramatta, and Penrith campuses. Staff may be eligible for discounted fees and salary packaging, with places subject to centre capacity. Application Details Position Enquiries: Direct to Professor Jason Pandya-Wood via J.Pandya-Wood@westernsydney.edu.au Please include the job reference code REF1441T Closing Date: 11:59pm, Friday 17 July 2026 Working Rights: Employer Visa sponsorship will be provided if required. How to Apply: To express your interest in the role, please prepare the following application materials: * A comprehensive academic CV detailing your positions held (with dates), key achievements, education, professional training, qualifications (including dates of completion), and a summary of your research activity and outputs. * Contact details for three referees, including your relationship to each referee and why you have nominated them. Referees will only be contacted after prior consultation with you. * Your earliest possible start date. As part of your online application, you will be asked to respond to screening questions addressing key qualifications, experiences and skills required for this position. Please note that only applications submitted via the University’s online recruitment system will be considered. Belonging at Western We are committed to substantive equality as outlined in our [Equal Opportunity Policy](https://policies.westernsydney.edu.au/document/view.current.php?id=95). We actively encourage applications from Indigenous Australians, candidates of all gender identities and expressions, people of all abilities, and those from culturally and linguistically diverse backgrounds. For reasonable adjustments during the application process, please contact [talentacquisitionteam@westernsydney.edu.au](mailto:talentacquisitionteam@westernsydney.edu.au). About Western This is your opportunity to be part of something bigger. By joining Western Sydney University, you become a valued member of our community. As our region changes, so too does our university. Western is boldly different, energetic, global, diverse, dynamic, and youthful. Our mission is to deliver student success, impactful research, and stronger communities. As part of our team, you will have a stake in shaping the future of education, broadening horizons, and changing lives. Making a difference starts at Western. For the latest please visit our [website](https://www.westernsydney.edu.au/) and [LinkedIn](https://www.linkedin.com/school/western-sydney-university/posts/?feedView=all).", "summaryDescription" : "Professor of Counselling and Head of Discipline (Art Therapy and Counselling) at Western Sydney University. Skills: Art Therapy, Counselling, Academic Leadership. Shape the profile of Counselling. 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If you love working on computers and want to get out from behind a desk, come work with us! This is a Computer Field Technician Position doing hardware repairs and installations on laptop and desktop units. To be successful in this position, you must have prior experience with laptop and desktop hardware. Job Details: * This is a 1099/per call position * Pay is based solely on the number of calls completed. * Calls start at $35 and go up based on distance traveled * Pay period: Every Friday after the first week worked * Tickets are run Monday-Friday during the day shift. Candidates must be regularly available a minimum of 3 weekdays to be considered. * Call volume is variable but is usually 2-5 calls per day * You will complete certifications from Dell and Lenovo as part of your onboarding. Certifications are online and free to you. * You must have a reliable form of transportation and a valid driver's license to run these calls. 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Once all calls are completed for the day drop off the old parts with the pre-paid label that is provided. ## Qualifications * Must have prior hands on experience with replacing components on laptops and desktops * Must have a valid driver’s license and reliable transportation * Must be comfortable with daily local travel ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Computer Field Technician at BC Tech Pro. Skills: Hardware repair, On-site service. Complete on-site hardware warranty services. 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This position services adult and geriatric patients on a per visit basis in homes throughout Randolph County in North Carolina. As a home care Physical Therapist Assistant (PTA) you will assist clients in attaining or maintaining optimal physical well being by providing treatment, tests, client education and appropriate interventions as delegated by a licensed Physical Therapist. Each Physical Therapist Assistant (PTA) must: Have current licensure or certification in the state of North Carolina. Have graduated from a two-year college level program approved by the American Physical Therapy Association, as indicated by school transcript or diploma, or Have one year of appropriate experience as an Physical Therapist Assistant (PTA) and a satisfactory grade on a proficiency exam conducted, approved or sponsored by the U. S. Public Health Service when initial qualification occurred before December 31, 1977 Have at least one year’s work experience under the supervision of a qualified Physical Therapist. Our employees are our greatest asset: BAYADA offers a comprehensive benefits plan that includes the following: Paid holidays, vacation and sick leave, vision, dental and medical health plans, employer paid life insurance, 401k with company match, direct deposit and employee assistance program To learn more about BAYADA Benefits, click here Enjoy being part of a team that cares and a company that believes in leading with our values Develop your skills with training and scholarship opportunities Advance your career with specially designed career tracks Be recognized and rewarded for your compassion, excellence, and reliability As an accredited, regulated, certified, and licensed home health care provider, BAYADA complies with all state/local mandates. BAYADA is celebrating 50 years of compassion, excellence, and reliability. Learn more about our 50th anniversary celebration and how you can join in here. BAYADA Home Health Care, Inc., and its associated entities and joint venture partners, are Equal Opportunity Employers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, age, disability, pregnancy or maternity, sexual orientation, gender identity, citizenship status, military status, or any other similarly protected status in accordance with federal, state and local laws. Hence, we strongly encourage applications from people with these identities or who are members of other marginalized communities.", "summaryDescription" : "Physical Therapist Assistant, PTA - Home Health Visits at BAYADA Home Health Care. Skills: Home health visits, Patient care. Provide skilled physical therapy services. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. 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Wharton Area Engr/Maint Sect (13WHARTNCO)
1512 FM 102
Wharton, 77488

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To learn how to apply for a faculty or staff position, please review this [tip sheet](https://my.it.miami.edu/wda/erpsec/tipsheets/ER_eRecruiting_ApplyforaJob.pdf). Physician will work with the Cardiothoracic / MCS transplant teams with responsibilities including providing direct patient care to adult inpatients at Jackson Memorial Hospital and academic activities with house staff from multiple disciplines. **** **Job Functions ** * Primarily nocturnal shifts with opportunities for 25% daytime coverage. Direct inpatient care for adult pre- and post-cardiothoracic transplant, Cardiac and Thoracic Surgery and ECMO/ MCS and Transplant / Surgical IMCU. * Clinical responsibilities will consist of fifteen (15) days of ICU coverage per month, with up to 50% of those shifts covering nights. * Attendance at multidisciplinary transplant and divisional conferences and rounds. * Clinically collaborate with transplant team – Cardiology, Pulmonology, Surgeons, and any other patient consultants. * Precepting trainees in inpatient settings. * Participate in APP, resident and fellow education. **Qualifications ** * Awarded degree of M.D. or D.O. from an ABIM, ABA, AOA or ABS recognized training program. * Valid ABIM Certification in Pulmonology and Critical Care Medicine, ABA Certification in Critical Care Medicine, or ABS / AOBS Certification in Surgical Critical Care. * Valid and unrestricted Florida Medical License or eligible to apply. **Knowledge, Skills and Attitudes** * Must maintain CME to meet institutional and state licensing requirements. * Must have excellent clinical knowledge and experience, especially in ECMO/MCS, Cardiothoracic Transplant Surgery and Critical Care Echocardiography, to provide safe and quality care to patients and meet institutional standards of care. * Must have excellent interpersonal skills to communicate with staff, patients, and family members. * Must demonstrate the ability to meet responsibilities of the position. * Specialized training and certification (E-AEC) in MCS / Ecmo / Transplant highly desired. * Experience working and teaching in academic setting is highly desired. The University of Miami is an Equal Opportunity Employer. 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0.98 }, { "id" : "6a2c7dc574d8ee00a0950ca2", "title" : "Senior AI/Computer Vision Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 5000.0, "max" : 8000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Latvia", "locations" : [ "Latvia" ], "timestamp" : "2026-06-16T01:49:58.489", "fingerprint" : "e8b400a2651d73235270e185316e5b86d8149aa2166f6f3296036dacc2ee77e8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4232036009", "externalId" : "4232036009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Latvia", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Latvia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, PyTorch, TensorFlow, C++, LLMs, ONNX, TensorRT, OpenVINO", "professionalSkills" : [ "System 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Define data collection, Define data annotation, Define data validation, Train deep learning models, Optimize deep learning models, Build testing, Build benchmarking, Build failure analysis, Optimize models for edge devices, Integrate models into production inference systems, Work closely with software teams, Work closely with product teams, Ship reliable AI features", "teamCollaboration" : "Software teams; Product teams", "domainKnowledge" : "Computer vision; Applied AI; Deep learning; Edge devices; Multimodal models", "domainList" : [ "computer-vision", "applied-ai", "deep-learning", "edge-devices", "multimodal-models" ], "domainSpecificKnowledge" : [ "Computer vision", "Applied AI", "Deep learning", "Edge devices", "Multimodal models" ], "toolProficiency" : [ "MLflow", "Weights" ], "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Ship reliable AI features at scale", "qualificationsBasic" : "MS or PhD in Computer Science, 4+ years of experience, Python, PyTorch, TensorFlow, or similar, Detection, classification, segmentation, tracking, embeddings, or multimodal, Evaluation, deployment, and production, Optimizing models for edge, C++ production pipelines or inference, Fluent in English and Latvian", "qualificationsPreferred" : "Experience with LLMs, Experience with ONNX, TensorRT, OpenVINO, Experience with MLOps, Familiarity with model monitoring, Familiarity with post-deployment analysis", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of experience building and shipping computer vision and/or applied AI systems; Hands-on experience with tasks such as detection, classification, segmentation, tracking, embeddings, or multimodal perception; Experience beyond model training, including evaluation, deployment, and production support; Experience optimizing models for edge or embedded environments; Strong software engineering skills, including C++ production pipelines or inference systems; Fluent in English and Latvian. Nice to have: Experience with LLMs or multimodal models in production; Experience with ONNX, TensorRT, OpenVINO, or TFLite; Experience with MLOps and experiment tools such as MLflow, Weights Familiarity with model monitoring and post-deployment analysis. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Medical insurance; Hybrid approach - office in Riga; Flexible work hours; Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 5000 up to 8000 Euro gross monthly); A-class office with all the necessities - snacks, drinks, free parking, etc!", "summaryDescription" : "Senior AI/Computer Vision Engineer at Ubiquiti. Skills: AI, Computer Vision, Deep Learning, Edge Deployment. Build AI systems end to end. Define problem requirements", "postedDate" : "2026-06-14T20:05:44.229", "createdAt" : "2026-06-14T20:05:44.229", "lastUpdated" : "2026-06-16T01:49:58.489", "ingestTimestamp" : "2026-06-14T20:05:44.229", "mongoId" : "6a2c7dc574d8ee00a0950ca2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Deep learning", "Computer vision", "Multimodal AI", "Edge computing", "Model optimization", "AI", "Computer Vision", "Deep Learning", "Edge Deployment", "System design", "Model evaluation", "Model deployment", "Production pipelines", "Inference systems", "Applied AI", "Edge devices", "Multimodal models", "MLflow", "Weights" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 462.2744, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b5d74d8ee00a0911c2f", "title" : "Physical Therapy Assistant - Senior Living Visits", "company" : "BAYADA Home Health Care", "industry" : "Healthcare", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Physical Therapy Assistant in Milton, United States, adjusted for the healthcare industry and full-time employment." }, "location" : "Field", "locations" : [ "Field", "Home Health - Field" ], "timestamp" : "2026-06-16T02:18:54.086", "fingerprint" : "ec2eb3b48926db8dd156cf2c2fad42bf0006b6b6639c570d4186c6d7d049814e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bayada/jobs/8588683002", "externalId" : "8588683002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.0177269,-76.8530840" }, { "city" : "Mifflinburg", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.9175820,-77.0477501" }, { "city" : "Selinsgrove", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7993524,-76.8619072" }, { "city" : "Beavertown", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7536190,-77.1693212" } ], "locationText" : "Milton, Pennsylvania, United States; Mifflinburg, Pennsylvania, United States; Selinsgrove, Pennsylvania, United States; Beavertown, Pennsylvania, United States", "experienceMinYears" : 1, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "BAYADA Home Health Care is currently seeking an experienced Physical Therapist Assistant, PTA, for a PRN opportunity performing home health visits. This office services adult and geriatric patients on a per visit basis in territories throughout Chesapeake, VA. As a home care Physical Therapist Assistant (PTA) you will assist clients in attaining or maintaining optimal physical well being by providing treatment, tests, client education and appropriate interventions as delegated by a licensed Physical Therapist. Each Physical Therapist Assistant (PTA) must: Have current licensure or certification in the state of Virginia Have graduated from a two-year college level program approved by the American Physical Therapy Association, as indicated by school transcript or diploma, or Have one year of appropriate experience as an Physical Therapist Assistant (PTA) and a satisfactory grade on a proficiency exam conducted, approved or sponsored by the U. S. Public Health Service when initial qualification occurred before December 31, 1977 Have at least one year’s work experience under the supervision of a qualified Physical Therapist. Other activities, as requested. Our employees are our greatest asset: Enjoy being part of a team that cares and a company that believes in leading with our values Feel confident, safe, and supported with PPE supplies, comprehensive infection prevention protocol, daily pre-screens, and close monitoring of the COVID-19 outbreak. Develop your skills with training and scholarship opportunities Advance your career with specially designed career tracks Be recognized and rewarded for your compassion, excellence, and reliability As an accredited, regulated, certified, and licensed home health care provider, BAYADA complies with all state/local mandates. BAYADA is celebrating 50 years of compassion, excellence, and reliability. Learn more about our 50th anniversary celebration and how you can join in here. BAYADA Home Health Care, Inc., and its associated entities and joint venture partners, are Equal Opportunity Employers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, age, disability, pregnancy or maternity, sexual orientation, gender identity, citizenship status, military status, or any other similarly protected status in accordance with federal, state and local laws. Hence, we strongly encourage applications from people with these identities or who are members of other marginalized communities.", "summaryDescription" : "Physical Therapy Assistant - Senior Living Visits at BAYADA Home Health Care", "postedDate" : "2026-06-14T20:07:02.638", "createdAt" : "2026-06-14T20:07:02.638", "lastUpdated" : "2026-06-16T02:18:54.086", "ingestTimestamp" : "2026-06-14T20:07:02.638", "mongoId" : "6a2c6b5d74d8ee00a0911c2f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 461.49173, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7dc474d8ee00a0950b7f", "title" : "Embedded Computer Vision Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Embedded Computer Vision Engineer in Taiwan, adjusted for mid-level experience and the technology industry." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T09:13:50.947", "fingerprint" : "eff08ba10cd171b14f8ab2e4a3f71e82f9810361f9e93770a40a48437069ecc0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4202782009", "externalId" : "4202782009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, C/C++, Deep learning, ONNX, TensorRT, QNN, PyTorch, TensorFlow, LLMs, VLMs", "professionalSkills" : [ "System design", "Project execution" ], "hardSkillsList" : [ "Object detection", "Event triggering", "Tracking", "Model optimization", "Quantization", "Pruning", "Compression", "Performance debugging", "Action recognition", "Video analytics" ], "hardSkills" : [ { "name" : "Object detection", "level" : "intermediate" }, { "name" : "Event triggering", "level" : "intermediate" }, { "name" : "Tracking", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Pruning", "level" : "intermediate" }, { "name" : "Compression", "level" : "intermediate" }, { "name" : "Performance debugging", "level" : "intermediate" }, { "name" : "Action recognition", "level" : "intermediate" }, { "name" : "Video analytics", "level" : "intermediate" } ], "majorSkills" : "Embedded AI, Computer vision, Deep learning deployment", "majorSkillsList" : [ "Embedded AI", "Computer vision", "Deep learning deployment" ], "coreResponsibilities" : "Develop on-camera AI pipelines, Maintain on-camera AI pipelines, Port deep learning models, Convert deep learning models, Optimize deep learning models, Integrate AI inference engines, Validate AI inference engines, Collaborate with hardware teams, Collaborate with firmware teams, Train computer vision models, Fine-tune computer vision models, Benchmark computer vision models, Profile performance bottlenecks, Debug performance bottlenecks, Build reusable frameworks, Improve reusable frameworks, Build CI/CD pipelines, Improve CI/CD pipelines", "teamCollaboration" : "Cross-functional teams; International teams", "domainKnowledge" : "AI camera solutions; NPU acceleration; Edge AI; Resource-constrained devices", "domainList" : [ "ai-camera-solutions", "npu-acceleration", "edge-ai", "resource-constrained-devices" ], "domainSpecificKnowledge" : [ "AI camera solutions", "NPU acceleration", "Edge AI", "Resource-constrained devices" ], "toolProficiency" : [ "ONNX Runtime", "SNPE" ], "problemSolvingSkills" : "Performance debugging", "qualificationsBasic" : "MS or PhD, 3+ years professional experience, Python and C/C++ proficiency, Deep learning framework experience, Model optimization techniques experience, English communication skills", "qualificationsPreferred" : "Computer vision or NLP experience, Deploying models on embedded platforms, NPU or AI accelerator hardware experience, Model conversion toolchains experience, NPI or product development lifecycle experience, LLMs and VLMs familiarity, CI/CD, automated testing, or MLOps experience, Project ownership or mentoring experience", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for an experienced Embedded Computer Vision Engineer to join our growing AI team. In this role, you will work across the full lifecycle of AI-powered camera products — from training and optimizing deep learning models, to deploying them on embedded camera platforms with NPU acceleration, to building the on-device applications that enable intelligent camera features. You will collaborate closely with software, firmware, and hardware teams to deliver high-quality, production-ready AI camera solutions. Responsibilities (What he/she will do after joining UI) Develop and maintain on-camera AI application pipelines, including object detection, event triggering, tracking, and camera peripheral control Port, convert, and optimize deep learning models for deployment across multiple SoC/NPU platforms while maintaining accuracy and real-time performance Integrate and validate AI inference engines with vendor-specific NPU SDKs and toolchains such as ONNX, TensorRT, QNN, or similar frameworks Collaborate with hardware and firmware teams on New Product Introduction (NPI) for next-generation AI cameras, from early SoC evaluation through production bring-up Train, fine-tune, and benchmark computer vision models for tasks such as detection, classification, action recognition, and video analytics Profile and debug performance bottlenecks across CPU, GPU, and NPU to meet latency, throughput, and power constraints Build and improve reusable frameworks, tools, and CI/CD pipelines for model conversion, testing, and deployment at scale Contribute to technical direction and system design for AI camera platforms; candidates with leadership experience may also help guide project execution and mentor engineers Requirement (Must-Haves) MS or PhD in Computer Science, Electrical Engineering, or a related field or equivalent practical experience 3+ years of professional experience in edge AI system deployment Strong proficiency in Python and C/C++ Hands-on experience with at least one deep learning framework such as PyTorch or TensorFlow Experience with model optimization techniques such as quantization, pruning, knowledge distillation, or compression for resource-constrained devices Strong English communication skills, with the ability to collaborate effectively across international and cross-functional teams Preferred Qualifications Experience in computer vision or NLP, including deep learning applications such as action recognition, anomaly detection, or video analytics Experience deploying deep learning models on embedded or edge platforms with NPU or AI accelerator hardware such as Ambarella, Qualcomm, InnoFusion, MediaTek, or similar SoCs Familiarity with model conversion toolchains and runtime engines such as TensorRT, ONNX Runtime, or SNPE Hands-on experience in NPI or product development lifecycle for camera or IoT hardware Familiarity with Large Language Models (LLMs) and Vision Language Models (VLMs) is a plus Experience with CI/CD, automated testing, or MLOps for edge AI deployment is a plus Demonstrated project ownership or mentoring experience is a plus Self-motivated, collaborative, and comfortable working in a fast-paced environment with challenging technical problems", "summaryDescription" : "Embedded Computer Vision Engineer at Ubiquiti. Skills: Embedded AI, Computer vision, Deep learning deployment. Develop on-camera AI pipelines. 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Civil Engineering Design; Site development projects; Topographic maps; Northing/easting coordinates; Surface drainage; Sedimentation; Hydrology; Basic surveying concepts", "domainList" : [ "renewable-engineering", "civil-engineering-design", "site-development-projects", "topographic-maps", "northing-easting-coordinates", "surface-drainage", "sedimentation", "hydrology", "basic-surveying-concepts" ], "domainSpecificKnowledge" : [ "Renewable Engineering", "Civil Engineering Design", "Site development projects", "Topographic maps", "Northing/easting coordinates", "Surface drainage", "Sedimentation", "Hydrology", "Basic surveying concepts" ], "toolProficiency" : [ "AutoCAD", "Autodesk Civil 3D", "PDF", "Excel", "QGIS" ], "continuousLearning" : "Commitment to continuous improvement", "problemSolvingSkills" : "Proactive approach", "qualificationsBasic" : "Bachelor’s degree in civil engineering, 0-2 years of design experience, 0-2 years of engineering experience", "qualificationsPreferred" : "Autodesk Civil 3D certification preferred, QGIS certification preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Civil Engineer EA Position in Professional Services/Renewable Engineering Responsibilities: Prepare and develop engineering drawings using AutoCAD and Autodesk Civil 3D. Apply advanced drafting skills to produce accurate and professional design documents. Work with contours, slopes, grading, elevations, and surface data for site development projects. Assist in cut-and-ﬁll calculations and apply basic earthwork and grading concepts. Utilize northing/easting coordinates for site layouts and mapping. Interpret and prepare topographic maps for project planning and execution. Collaborate with project teams to integrate design inputs and ensure compliance with project standards. Manage and organize project data using PDFs and Excel sheets. Maintain accuracy, clarity, and consistency across all deliverables. Qualiﬁcations: Education: Bachelor’s degree in civil engineering. Experience: Minimum 0-2 years of design or engineering experience related to civil engineering design Skills: Strong working knowledge of AutoCAD. Basic to intermediate understanding of Autodesk Civil 3D Strong drafting skills with attention to precision and detail. Familiarity with AutoCAD features including layers and xfers’. Strong conceptual understanding of contours, terrain interpretation, slopes and grading fundamentals, elevations and topographic mapping, northing/easting coordinate systems, cut-and-ﬁll and basic earthwork principles, surface drainage and runo behavior, and basic surveying concepts. Basic concepts of hydrology, soil erosion, sedimentations. Ability to interpret and work with topographic maps. Competence in handling PDFs and Excel for project documentation. Familiarity with QGIS for geospatial data handling and mapping. Excellent learning attitude, adaptability, and commitment to continuous improvement. Strong organizational skills and ability to meet deadlines. Certiﬁcations: Relevant certiﬁcations in Autodesk Civil 3D or QGIS are preferred. Preferred Attributes Self-motivated with a proactive approach to problem-solving. Effective communication and collaboration skills. Ability to work independently as well as in a team environment.", "summaryDescription" : "Engineering Assistant-Renewables at Pearce Services Global. Skills: AutoCAD, Autodesk Civil 3D, Topographic mapping. Prepare engineering drawings. Develop engineering drawings", "postedDate" : "2026-06-14T19:10:04.595", "createdAt" : "2026-06-14T19:10:04.595", "lastUpdated" : "2026-06-16T01:47:30.076", "ingestTimestamp" : "2026-06-14T19:10:04.595", "mongoId" : "6a2c79f574d8ee00a0943db4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cut-and-fill calculations", "Topographic mapping", "Grading fundamentals", "Surface drainage", "Adaptability", "Learning attitude", "AutoCAD", "Autodesk Civil 3D", "Drafting skills", "Site development", "Earthwork principles", "Surveying concepts", "Hydrology", "Soil erosion", "Sedimentation", "Geospatial data handling", "Renewable Engineering", "Civil Engineering Design", "Site development projects", "Topographic maps", "Northing/easting coordinates", "Basic surveying concepts", "QGIS", "PDF", "Excel" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 460.8596, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305647f292fd229cf26b8f", "title" : "Assistant Faculty, Computer Information Systems", "company" : "Strategic Education, Inc", "salary" : { "min" : 19.0, "max" : 19.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Remote", "locations" : [ "Remote", "United States of America" ], "timestamp" : "2026-06-16T13:25:25.626", "fingerprint" : "1c356e61fb5c7c7d95e35c3765f835674353e4ece3f169ce1c6dc12c0e68533f", "source" : "workday", "language" : "en", "applyUrl" : "https://strayer.wd1.myworkdayjobs.com/SEI/job/Remote/Assistant-Faculty--Computer-Information-Systems_R30492", "externalId" : "R30492", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "PART_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Assistant Faculty are an essential part of creating the optimal learning environment. The University relies on assistant faculty to support instructional faculty by interacting with students in online classrooms that have many students. The successful Assistant Faculty is student focused and able to create and implement various methods of communication and supplemental instruction to support student success. This position works a defined number of hours per week and reports into key Faculty roles within the designated team. To create an optimal learning environment, the University relies on Assistant Faculty to support instructional Faculty by interacting with students in online classrooms that have a large number of students. We are currently in search of a passionate part-time Assistant Faculty (25hours/week) to support our online undergraduate level Computer Information Systems classes for the upcoming summer quarter starting July 6, 2026. _NOTE: Applications must include copies of unofficial transcripts to receive full consideration._ **Essential Duties & Responsibilities:** * Analyze student activity within discussions and assessments and respond appropriately based upon training and input from the lead instructor. * Assist in managing student communications. * Escalate unique issues to the lead instructor. * Assist with grading and providing feedback. * Monitor students’ engagement levels and provide recommendations on the best approach on how to increase engagement. * Assist the lead instructor as needed or directed, providing tutoring, live sessions, or other student support. * Assist the lead instructor as needed or directed with student outreach. * Assist the lead instructor as needed in developing supplemental support documents, videos, job aids. * Other duties as assigned. **Job Skills:** * Excellent written and verbal communication skills and ability to interact effectively with faculty, coaches, and learners. * Demonstrated effective time management skills. * Excellent relationship-building, customer service, and problem resolution skills. * Demonstrated strong attention to detail, initiative and follow-through. * Experience working with a diversity of learning styles. * Comfortable using technology to facilitate learning. **Work Experience:** * Professional experience in the field of study is preferred and may be required dependent on course credentialing requirements. * Previous teaching experience is preferred and may be required dependent on course credentialing requirements. * Online teaching experience is preferred and may be required dependent on course credentialing requirements. **Education:** * From a regionally accredited institution; Masters in a Computer Science concentration is required, i.e. Computer Science, Information Technology, Information Systems. **Certificates, licenses and registrations:** * CompTIA A+ and CompTIA Network+ certifications are required. * In lieu of the required certifications, equivalent TestOut certifications will be accepted. **Other:** * Access information using a computer. * Effectively communicate, both up and down the management chain. * Effectively cope with stressful situations. * Good attendance. * Strong organizational and time management skills. * Strong mental acuity. * Must be able to lift 25 lbs. **Work Location Details:** Many of our positions, including this role, are designed to be remote \"home office\" settings. Employees working out of a home office are responsible for providing appropriate and safe office space, office furniture and organization, communication tools, and related items. These include: * Arranging for high-speed internet connection, printer and a dedicated phone line for business use. Specifics regarding expense coverage and reimbursement vary based on individual position categories. The University will _not_ provide office equipment or on-site set up assistance. * The environment must be free from distractions and enable a highly productive and professional work environment. * As with on-site positions, our off-site positions require that the majority of the time will be spent using a telephone, PC and monitors. * There are minimal lifting requirements unless otherwise noted. **Applicants must be authorized to work in the United States. Visa sponsorship is not available for this position.** **$19.00 is the expected starting pay for this position. This offer is based on current budgetary guidelines and additional factors outlined below.** SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable. [Careers - Our Benefits, Strategic Education, Inc](https://sei.strategiceducation.com/about/careers/our-benefits/default.aspx) SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary. The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below. $18.25 - $27.75 - Hourly _If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at[ Careers@strategiced.com](mailto:Careers@strategiced.com)_.", "summaryDescription" : "Assistant Faculty, Computer Information Systems at Strategic Education, Inc", "postedDate" : "2026-06-13T03:49:42.650", "createdAt" : "2026-06-16T03:49:42.629", "lastUpdated" : "2026-06-16T13:25:25.626", "ingestTimestamp" : "2026-06-16T03:49:42.629", "mongoId" : "6a305647f292fd229cf26b8f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://strayer.wd1.myworkdayjobs.com/SEI/job/Remote/Assistant-Faculty--Computer-Information-Systems_R30492", "salaryAnnualMin" : 39520, "salaryAnnualMax" : 39520, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 456.59875, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677af4", "title" : "Car Computer System Engineer", "company" : "Mercedes-Benz Digital Tech Ltd", "industry" : "Technology", "salary" : { "min" : 3250000.0, "max" : 4750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Car Computer System Engineer in Bengaluru, India, adjusted for seniority, company size, and the automotive industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "China (Mainland)-Shanghai-Shanghai", "Xingchi Tower, No. 399, Keqiao Road, , Jinqiao, Pudong, Shanghai" ], "timestamp" : "2026-06-15T08:42:47.048", "fingerprint" : "209972fcecca61940c7821f9b0a9e5b901cf494d86b497ba3092090dbb978129", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=881284", "externalId" : "881284", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Embedded systems, High-performance computing, CAN, Ethernet, SOME/IP", "professionalSkills" : [ "System design", "Requirements management", "Technical reviews", "Risk assessments", "Feasibility studies", "Project management" ], "hardSkillsList" : [ "System modeling", "Automotive communication" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "System modeling", "level" : "intermediate" }, { "name" : "Automotive communication", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "System design, Requirements management, High-performance computing", "majorSkillsList" : [ "System design", "Requirements management", "High-performance computing" ], "coreResponsibilities" : "Lead car project system design review, Deliver design requirements qualified, Manage testing results, Drive technical concept, Agree on schedule, Agree on estimation, Agree on risks, Act as project system leader, Coordinate with Technical leader, Manage product technical risks, Manage product problems, Manage counter measure, Lead system design, Collect all requirements, Analyze customer requirements, Decompose customer requirements, Analyze regulatory requirements, Decompose regulatory requirements, Lead technical reviews, Lead risk assessments, Lead feasibility studies, Oversee integration of hardware, Oversee integration of software, Ensure robust system solutions, Ensure scalable system solutions, Ensure secure system solutions, Collaborate with cross-functional teams, Deliver solutions, Ensure project milestones met, Ensure compliance with ASPICE, Ensure compliance with ISO 26262, Ensure compliance with cybersecurity, Ensure compliance with local regulatory standards, Support design for manufacturing workshop, Ensure manufacturing input", "teamCollaboration" : "Cross-functional teams; Global stakeholders; Local stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Automotive electronics; Infotainment systems; ADAS integration; Cybersecurity standards; ASPICE; ISO 26262; Automotive communication protocols", "domainList" : [ "automotive-electronics", "infotainment-systems", "adas-integration", "cybersecurity-standards", "aspice", "iso-26262", "automotive-communication-protocols" ], "domainSpecificKnowledge" : [ "Automotive electronics", "Infotainment systems", "ADAS integration", "Cybersecurity standards", "ASPICE", "ISO 26262", "Automotive communication protocols" ], "toolProficiency" : [ "CAMEO", "Preevision", "DOORS" ], "communicationSkills" : "English communication", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "5+ years of experience, Experience with ASPICE, Experience with ISO 26262, Experience with cybersecurity standards", "qualificationsPreferred" : "Master's degree, German language skills", "remoteFriendly" : false, "rawDescription" : "Objective of job： Lead the car computer project system design review and be responsibility for design requirement qualified deliver and manage testing results. Drvie technical concept and agree on schedule, estimation and risks with supplier. Act as the project system leader for internal and external; coordinate with Technical leader of the one chip requirement management, and validation sutatus. Support design for manufacturing workshop in order to ensure manufacturing input at early stage of development. Manage product related technical risks and problems and counter measure. Task description: Lead the system design, collect all requirements from all stakeholders for high-performance computing platforms with China-specific EEA requirements; Analyze and decompose customer and regulatory requirements into system and technical specifications for infotainment, ADAS integration products. Lead technical reviews, risk assessments, and feasibility studies for new architectures and product concepts. Oversee the integration of hardware and software components, ensuring robust, scalable, and secure system solutions. Collaborate with cross-functional teams (hardware, software, safety, validation, project management) to deliver solutions and ensure project milestones are met. Ensure compliance with ASPICE, ISO 26262, cybersecurity, and local regulatory standards. Qualification Bachelor’s or Master’s degree in Computer Science, Electronics, Automotive Engineering, or related fields. 5+ years of experience in automotive electronics, embedded systems, or high-performance computing platform development; Experience with ASPICE, ISO 26262, and cybersecurity standards. Strong analytical, problem-solving, and project management skills. Excellent communication skills in English and Chinese; German is a plus. Hands-on experience with system modeling tools (e.g., CAMEO, Preevision), requirements management (e.g., DOORS), and automotive communication protocols (CAN, Ethernet, SOME/IP). Ability to lead technical teams and interface with global and local stakeholders Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "Car Computer System Engineer at Mercedes-Benz Digital Tech Ltd. Skills: System design, Requirements management, High-performance computing. Lead car project system design review. Deliver design requirements qualified", "createdAt" : "2026-06-14T08:21:50.570", "lastUpdated" : "2026-06-15T08:42:47.048", "ingestTimestamp" : "2026-06-14T08:21:50.570", "mongoId" : "69ce5e3b9bc74574cb677af4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "System modeling", "Automotive communication", "Leadership", "System design", "Requirements management", "High-performance computing", "Technical reviews", "Risk assessments", "Feasibility studies", "Project management", "Automotive electronics", "Infotainment systems", "ADAS integration", "Cybersecurity standards", "ASPICE", "ISO 26262", "Automotive communication protocols", "CAMEO", "Preevision", "DOORS" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 455.4839, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde45c2beec4dd3d9a3fa3", "title" : "Professor - Type 1 Diabetes Research", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Professor in Biotech in Duarte, CA, adjusted for seniority and company size." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Research", "Onsite, Days, Days" ], "timestamp" : "2026-06-16T02:48:34.781", "fingerprint" : "d17aadafc30199634927934580ecdabad80567ec1e6ffa2fddea37aeca94a9ff", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=165402", "externalId" : "165402", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "remoteFriendly" : false, "rawDescription" : "The Department of Diabetes Immunology within the Arthur Riggs Diabetes & Metabolism Research Institute (AR-DMRI) at City of Hope has an opening for a tenure-track associate or full professor. AR-DMRI is a component of the Beckman Research Institute (BRI) at City of Hope . Our research depth in diabetes and cancer makes this institution unique, providing opportunities for scientific and clinical distinction and collaboration across disciplines, for example cross-talk between diabetes immunologists, cancer immunologists, and beta cell biologists. City of Hope is also home to the Wanek Family Project for Type 1 Diabetes , a philanthropic partnership designed to advance novel therapies for type 1 diabetes. The Wanek Family Project and a Department of Diabetes Immunology are directed by Alberto Pugliese , who joined City of Hope in October 2022. The Department has strong focus on human type 1 diabetes and translation. We are looking to hire a Tenure-Track Professor who has an interest in understanding islet autoimmunity and more broadly the disease pathogenesis at the preclinical and/or clinical levels and with the desire to translate promising insights into biomarkers, treatments and potential cures for type 1 diabetes. Your qualifications should include: · PhD and/or MD · Possess the following credentials: o Scholarly accomplishments o Extramural funding experience o Impactful mentoring and teaching skills o Interdisciplinary and inter-institutional collaboration o Exceptional interpersonal skills (relationship-building, communications, listening, negotiation diplomacy) o Integrity, honesty and inclusive behavior To be considered for this position, please send a cover letter describing your interest, a summary of research and related accomplishments, curriculum vitae and the names and contact information of five referees to: Alberto Pugliese, MD The Samuel Rahbar Endowed Chair in Diabetes & Drug Discovery Chair and Professor, Department of Diabetes Immunology Director, The Wanek Family Project for Type 1 Diabetes Arthur Riggs Diabetes & Metabolism Research Institute City of Hope Email: apugliese@coh.org Tel. 626-218-0420 Mailing address: Gonda North Building, 4th floor, Room 4106 1500 East Duarte Road, Duarte, CA 91010Email vnatowski@coh.org City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . 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At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for \"good enough,\" you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer on the Compute Platform team within the Platform group, you'll own the primary compute orchestration infrastructure that every service at Coinbase runs on. Built largely on CNCF technologies including Kubernetes and Istio, this platform underpins the scalability, reliability, and efficiency of our entire product suite. You'll design and ship tooling, automation, and net-new capabilities that make it easy for hundreds of engineers to deploy and operate critical services, while partnering closely with Security, Reliability, and Observability teams to raise the bar across the stack. What you'll do: Own the design, build, and operation of Kubernetes cluster management tooling and automation that keeps our compute platform reliable and self-healing at scale. Build developer-facing tooling and workflows that improve how engineers across Coinbase interact with Kubernetes, with a heavy emphasis on integrating AI-driven processes and support. Deliver net-new compute capabilities for service owners, such as one-off jobs, cron scheduling, deployment strategies, EFS support, and automated right-sizing. Drive operational excellence by automating toil, reducing on-call burden, and continuously improving platform observability and incident response. Partner with Security, Reliability, and Observability teams to ensure the compute platform meets Coinbase's standards for security, uptime, and performance. Required Skills and Experience: 5+ years of software engineering experience, including 3+ years building and operating Kubernetes or similar compute orchestration systems (e.g., Mesos, Nomad, ECS). Hands-on experience with AWS and/or GCP infrastructure services (e.g., EC2, EKS, IAM, VPC, networking) in a production environment at scale. Demonstrated ability to design, implement, and operate distributed infrastructure systems, including diagnosing complex failures and driving them to root-cause resolution. Hands-on experience with the CNCF ecosystem (e.g., Helm, Prometheus, ArgoCD, Envoy) and a track record of applying these tools to solve real infrastructure problems. Proven ability to apply AI tooling to infrastructure workflows, improving automation, developer productivity, or operational efficiency. Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): $191,100—$191,100 CAD Application Limit: Candidates may submit a maximum of 4 applications per 30-day period. Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes. AI Disclosure: Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. 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San Angelo District Hdqtr (07DISTHQ)
4502 KNICKERBOCKER ROAD
San Angelo, 76904

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Brownwood District Headquarter (23DISTHQ)
2495 HWY 183 N
Brownwood, 76802

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We've built the leading partnership automation platform that empowers brands to discover, engage, and convert their audiences at scale. From affiliate marketing to influencer collaborations, we help our clients build and manage profitable partnerships that drive real results. We're a team of passionate problem-solvers who are dedicated to helping our clients win in the ever-evolving world of digital marketing. Why Join Us We're looking for passionate, talented people who want to be part of a winning team. At Partnerize, you'll find a culture of collaboration, innovation, and respect. We're guided by our core values, and we're committed to creating an environment where everyone can do their best work. We also offer a competitive salary, generous benefits, and a flexible work environment that allows you to thrive both personally and professionally. If you're ready to grow your career and make a difference, we'd love to hear from you. About Konnecto Konnecto is building advanced intelligence products that help global brands understand influence across affiliate ecosystems, AI-generated search experiences, and the evolving zero-click web. Operating as an independent product and technology group within Partnerize, Konnecto combines large-scale data processing, AI-driven insights, attribution intelligence, and modern analytics to help brands navigate a rapidly changing digital landscape. Our products sit at the intersection of AI, data, marketing intelligence, and large-scale distributed systems, creating unique technical challenges and opportunities for innovation. The Opportunity We are looking for a Director of Engineering to lead and scale Konnecto's engineering organization in Israel. This role is responsible for the success, growth, and effectiveness of the engineering team while ensuring strong alignment with Product and business priorities. The team already consists of experienced engineers, established products, and a mature technology stack. The focus of this role is not to build an engineering organization from scratch, but to help it scale effectively as the company continues to grow. You will be responsible for developing engineers, improving execution, supporting technical decision making, expanding the team, and helping the organization successfully navigate the next phase of growth. The ideal candidate combines strong people leadership, technical credibility, operational excellence, and a pragmatic approach to software delivery. What You'll Own Engineering Leadership Lead, mentor, and develop the engineering team through regular coaching, feedback, career development, and performance management. Create an environment where engineers can perform at a high level, grow professionally, and take ownership of their work. Support hiring efforts, interviewing, onboarding, and team expansion initiatives. Help scale the Israeli R where they are treated fairly and respectfully, have equal access to opportunities and resources and can contribute fully to the organization’s success. Every individual in our business is expected to live this commitment without exception. Privacy and data protection. The data collected as part of this application will be used for the recruitment process and any subsequent employment. You can find further information in Partnerize privacy policy here: https://partnerize.com/privacy-policy/ Notice to Recruiters and Staffing Agencies: To protect the interests of all parties, Partnerize will not accept unsolicited resumes from any source other than directly from a candidate or an approved vendor that has a written and signed agreement in place with Partnerize. Please do not contact or forward resumes to our company employees or locations. Any unsolicited resumes will be considered Partnerize property. 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Product; Design; Data Science; Monetization; Marketing; Applied AI", "domainKnowledge" : "Agentic AI; AI experiences; Applied AI; Value discovery; Product loops; Consumer workflows; Enterprise workflows", "domainList" : [ "agentic-ai", "ai-experiences", "applied-ai", "value-discovery", "product-loops", "consumer-workflows", "enterprise-workflows" ], "domainSpecificKnowledge" : [ "Agentic AI", "AI experiences", "Applied AI", "Value discovery", "Product loops", "Consumer workflows", "Enterprise workflows" ], "toolProficiency" : [ "Eppo", "Statsig", "Optimizely" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Measurable adoption outcomes; Revenue outcomes; Activation rate; Paid conversion; Retention; Habit formation", "qualificationsBasic" : "2+ years software engineering experience, Full-stack engineering skills, Comfort with modern web stack, Comfort with SQL, Familiarity with A/B testing platforms", "qualificationsPreferred" : "Direct experience on growth team, Experience training ML models, Experience with SEO tooling, Familiarity with billing products, Experience shipping for consumer and enterprise, Experience at fast-growing startup, Familiarity with mobile development", "rawDescription" : "In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each. - Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces. - Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes. - Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces. QUALIFICATIONS - 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping). - Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend). - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents). - Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company. - Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces. - Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces. - Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation. - Experience shipping for both consumer and enterprise audiences. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring", "summaryDescription" : "Member of Technical Staff (Software Engineer, Computer Growth) at Perplexity. Skills: Growth engineering, Applied AI systems, Experimentation. Design growth surfaces. Build growth surfaces", "createdAt" : "2026-06-14T03:11:17.186", "lastUpdated" : "2026-06-15T05:17:59.909", "ingestTimestamp" : "2026-06-14T03:11:17.186", "mongoId" : "6a2c8cff74d8ee00a0977dfd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 405000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Full-stack engineering", "SQL", "Data analysis", "Growth engineering", "Applied AI systems", "Experimentation", "End-to-end ownership", "Product translation", "Data-informed decision-making", "Agentic AI", "AI experiences", "Applied AI", "Value discovery", "Product loops", "Consumer workflows", "Enterprise workflows", "Eppo", "Statsig", "Optimizely" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 425.58093, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c68e174d8ee00a09051c4", "title" : "Senior Electrical Engineer - Compute Hardware", "company" : "Applied Intuition, Inc.", "industry" : "Vehicle OS", "salary" : { "min" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale", "locations" : [ "Sunnyvale" ], "timestamp" : "2026-06-16T01:30:33.926", "fingerprint" : "44e5bc9ff3c4a1c5681fde94e7d9acb95d94c6b554b118b9d715db64b13b7e19", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/applied/852b1c5c-c5fb-48dd-bd28-f59847a8ff08/application", "externalId" : "852b1c5c-c5fb-48dd-bd28-f59847a8ff08", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ASIC, FPGA, Digital design, Power delivery, Signal integrity, Thermal analysis, PCB layout, Hardware bring-up, Python, Perl, Git", "professionalSkills" : [ "System design", "Hardware architecture" ], "hardSkillsList" : [ "High-speed design", "Debug hardware" ], "hardSkills" : [ { "name" : "High-speed design", "level" : "intermediate" }, { "name" : "Debug hardware", "level" : "intermediate" } ], "majorSkills" : "Compute hardware, ASIC/FPGA design", "majorSkillsList" : [ "Compute hardware", "ASIC/FPGA design" ], "coreResponsibilities" : "Design compute hardware systems, Develop ASIC/FPGA designs, Perform high-speed digital design, Analyze power delivery networks, Conduct signal integrity analysis, Perform thermal analysis, Oversee PCB layout, Execute hardware bring-up, Debug hardware issues, Collaborate with software teams", "teamCollaboration" : "Cross-functional teams; Software teams", "domainKnowledge" : "Compute hardware; ASIC design; FPGA design; Machine learning accelerators; GPU architecture; CPU architecture; DDR memory; PCIe interfaces; Networking interfaces", "domainList" : [ "compute-hardware", "asic-design", "fpga-design", "machine-learning-accelerators", "gpu-architecture", "cpu-architecture", "ddr-memory", "pcie-interfaces", "networking-interfaces" ], "domainSpecificKnowledge" : [ "Compute hardware", "ASIC design", "FPGA design", "Machine learning accelerators", "GPU architecture", "CPU architecture", "DDR memory", "PCIe interfaces", "Networking interfaces" ], "toolProficiency" : [ "Git" ], "problemSolvingSkills" : "Hardware debugging", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 5+ years of experience in compute hardware development, Experience with ASIC/FPGA design flows, Experience with high-speed digital design, Experience with power delivery networks, Experience with signal integrity analysis, Experience with thermal analysis, Experience with PCB layout, Experience with hardware bring-up, Experience with debugging hardware issues", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with machine learning accelerators, Experience with GPU architecture, Experience with CPU architecture, Experience with DDR memory interfaces, Experience with PCIe interfaces, Experience with networking interfaces, Experience with scripting languages (Python, Perl), Experience with version control systems (Git)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT APPLIED INTUITION Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. MEET OUR ENGINEERS ON THE VEHICLE OS TEAM! Vehicle OS is a flexible suite of products that help vehicle manufacturers develop, deploy, and update complete vehicle software and AI applications. Learn more about what the team is building, the team culture, and why it’s one of the most exciting projects at Applied Intuition. ABOUT THE ROLE Applied Intuition is looking for an electrical engineer with expertise in developing compute hardware products for next-generation electric and autonomous vehicles. This is a unique opportunity to work on challenging engineering problems on Applied Intuition's newest product and collaborate with Applied’s world-class internal and external development partners. AT APPLIED INTUITION, YOU WILL: - Design electrical schematics for automotive, off-road, and defense (optional) applications, incorporating SoCs/MCUs, power (SMPS, Linear), memory components (eMMC, DDR, NVMe), and peripherals from concept to production. - Design boards that use high & low speed digital interfaces (UART, SPI, I2C, USB, PCIe, MIPI, DP, Ethernet, etc), and automotive interfaces such as LIN, CAN, Flexray. Guide and oversee PCB layout, ensuring it meets DFx standards and adheres to performance, cost, mechanical, thermal, and reliability constraints. - Create detailed component block diagrams and engage with PCB/PCBA vendors for fabrication and assembly. - Collaborate with system, firmware, software, and integration teams to ensure successful bring-up and validation of the platform. - Develop and execute test plans to validate design performance and document results. - Stay updated on new technologies to ensure our solutions remain cutting-edge and align with industry best practices. WE'RE LOOKING FOR SOMEONE WHO HAS: - BS, MS, or PhD in Electrical Engineering or Computer Engineering - At least 5 years of hands-on hardware design experience with a strong grasp of digital design and interfaces, including PCIe Gen 3.0/4.0/5.0, Ethernet 1G-T/T1 and 10G-T1, DDR, LPDDR, I2C, SPI, eMMC, USB, UART, and GMSL. - Proficient in schematic capture and layout. - Skilled in using lab tools such as bench power supplies, multimeters, oscilloscopes, logic analyzers, and network analyzers. - In-depth understanding of PCB manufacturing, product delivery, and extensive experience in testing, validation, and troubleshooting of electrical systems. - Open-minded and collaborative team player, eager to assist others. - Excellent technical writing skills for clear communication and documentation. NICE TO HAVE: - Prior experience building automotive, robotics, off-road, defense, or other real-time hardware systems - Prior experience designing and building prototype vehicles or compute hardware platforms - Prior experience with high-volume production of hardware products - Prior experience building real-time HW systems with safety constraints - Experience with Formula SAE / Formula Electric or similar hands-on engineering programs - Prior experience with Altium Designer - Experience designing circuits that drive cameras and/or displays Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $140,000 - $220,000 USD annually. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.", "summaryDescription" : "Senior Electrical Engineer - Compute Hardware at Applied Intuition, Inc.. Skills: Compute hardware, ASIC/FPGA design. Design compute hardware systems. 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Foster a customer-centric mindset within the team, ensuring a focus on customer and business outcomes. Collaborate with other teams to define technical roadmaps and manage cross-functional initiatives. Communicate effectively with stakeholders, distilling complex and ambiguous situations into actionable plans for your team. Drive the development process and best practices, with a focus on delivering incremental customer value. Provide clear, actionable project and development advice to your organization. Ensure the development of scalable and redundant services, leveraging distributed systems and web-scale infrastructure on public cloud deployments (GCP, AWS, Kubernetes). Demonstrate expertise in the go programming language and a solid understanding of distributed systems. QUALIFICATIONS: THIS POSITION REQUIRES A MASTER’S DEGREE (OR FOREIGN EQUIVALENT) IN COMPUTER SCIENCE, COMPUTER ENGINEERING, INFORMATION SYSTEMS, OR IN A CLOSELY RELATED FIELD, PLUS 2 YEARS OF WORK EXPERIENCE IN THE JOB OFFERED, OR CLOSELY RELATED OCCUPATION. SPECIAL REQUIREMENTS: REQUIRED EXPERTISE/KNOWLEDGE OF: 1. Knowledge of distributed systems and experience in building scalable and redundant services. 2. Experience with data and analytical systems such as postgresql, data warehousing, data lakes, embedded analytics, or similar technologies. 3. Experience with web-scale infrastructure on public cloud deployments (GCP, AWS, Kubernetes). 4. Knowledge of a backend language (Go, Python, Java, C#, etc.) the Go Programming Language. 5. Experience with messaging systems, distributed data stores, and NoSQL technologies (e.g., Kafka, Google PubSub, Bigtable, Spanner, Vitess, Cassandra, Postgres, S3, Iceberg, etc.) MUST POSSESS EXPERTISE/ KNOWLEDGE SUFFICIENT TO ADEQUATELY PERFORM THE DUTIES OF THE JOB BEING OFFERED. EXPERTISE/ KNOWLEDGE MAY BE GAINED THROUGH EMPLOYMENT EXPERIENCE OR EDUCATION. SUCH EXPERTISE/ KNOWLEDGE CANNOT BE \"QUANTIFIED\" BY \"TIME.\" MAY WORK FROM HOME JOB LOCATION: 1331 W. Powell Way, Lehi, UT 84043 WORK SCHEDULE: 40 hrs/wk (9:00 a.m. to 5:00 p.m.) SALARY: $143,874-$272,040/YR HOW TO APPLY: Jocelyn Mower, jocelyn.mower@getweave.com. . REFERENCE: UT2604RG Weave Communications Inc. is an equal opportunity employer. Employment with Weave is contingent upon the successful completion of a background check, conducted in accordance with applicable laws. At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page. Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know. Beware of recruitment fraud. All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.", "summaryDescription" : "Manager of Engineering at Weave", "createdAt" : "2026-06-16T01:59:59.405", "lastUpdated" : "2026-06-16T12:54:48.824", "ingestTimestamp" : "2026-06-16T01:59:59.405", "mongoId" : "6a307eeff292fd229c053b83", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 143874, "salaryAnnualMax" : 272040, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 418.42307, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308521f292fd229c077274", "title" : "Manager of Engineering", "company" : "Weave", "industry" : "Technology", "salary" : { "min" : 143874.0, "max" : 272040.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Weave - Headquarters (Lehi, UT)", "locations" : [ "Weave - Headquarters (Lehi, UT)" ], "timestamp" : "2026-06-16T12:41:32.888", "fingerprint" : "2ef7c8877c4c494563907485eafc7f7d8c02d5cba5538b1ff53d42375eca6dae", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/weave/2f90c2ea-194a-4615-9484-e2785486327e/application", "externalId" : "2f90c2ea-194a-4615-9484-e2785486327e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lehi", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3881114,-111.8486019" } ], "locationText" : "Lehi, Utah, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MANAGER OF ENGINEERING, LEHI, UT RESPONSIBILITIES: Lead and mentor a team of engineers, providing career coaching and support to help them develop their technical, business, and professional skills. 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QUALIFICATIONS: THIS POSITION REQUIRES A MASTER’S DEGREE (OR FOREIGN EQUIVALENT) IN COMPUTER SCIENCE, COMPUTER ENGINEERING, INFORMATION SYSTEMS, OR IN A CLOSELY RELATED FIELD, PLUS 2 YEARS OF WORK EXPERIENCE IN THE JOB OFFERED, OR CLOSELY RELATED OCCUPATION. SPECIAL REQUIREMENTS: REQUIRED EXPERTISE/KNOWLEDGE OF: 1. Knowledge of distributed systems and experience in building scalable and redundant services. 2. Experience with data and analytical systems such as postgresql, data warehousing, data lakes, embedded analytics, or similar technologies. 3. Experience with web-scale infrastructure on public cloud deployments (GCP, AWS, Kubernetes). 4. Knowledge of a backend language (Go, Python, Java, C#, etc.) the Go Programming Language. 5. Experience with messaging systems, distributed data stores, and NoSQL technologies (e.g., Kafka, Google PubSub, Bigtable, Spanner, Vitess, Cassandra, Postgres, S3, Iceberg, etc.) MUST POSSESS EXPERTISE/ KNOWLEDGE SUFFICIENT TO ADEQUATELY PERFORM THE DUTIES OF THE JOB BEING OFFERED. EXPERTISE/ KNOWLEDGE MAY BE GAINED THROUGH EMPLOYMENT EXPERIENCE OR EDUCATION. SUCH EXPERTISE/ KNOWLEDGE CANNOT BE \"QUANTIFIED\" BY \"TIME.\" MAY WORK FROM HOME JOB LOCATION: 1331 W. Powell Way, Lehi, UT 84043 WORK SCHEDULE: 40 hrs/wk (9:00 a.m. to 5:00 p.m.) SALARY: $143,874-$272,040/YR HOW TO APPLY: Jocelyn Mower, jocelyn.mower@getweave.com. . REFERENCE: UT2604RG Weave Communications Inc. is an equal opportunity employer. Employment with Weave is contingent upon the successful completion of a background check, conducted in accordance with applicable laws. At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. 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Parker/Weatherford Ae/Maint (02PARKERCO)
1427 W BANKHEAD
Weatherford, 76086

, Parker/Weatherford Ae/Maint" ], "certifications" : [ "PE License" ], "timestamp" : "2026-06-15T07:12:38.142", "fingerprint" : "4c2700b70bec32c8add0c3c18fa24d361f252cf0b313151ac33f3263261ac7ff", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42515", "externalId" : "42515", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Weatherford", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7589648,-97.7970748" } ], "locationText" : "Weatherford, Texas, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "PS&E design", "Project execution" ], "majorSkills" : "PS&E design, Field oversight", "majorSkillsList" : [ "PS&E design", "Field oversight" ], "coreResponsibilities" : "Produce PS&E design, Oversee project design plans", "domainKnowledge" : "Construction projects", "domainList" : [ "construction-projects" ], "domainSpecificKnowledge" : [ "Construction projects" ], "continuousLearning" : "Engineering Assistant Career Development Program; PE License training", "qualificationsBasic" : "Engineering Assistant Career Development Program, PE License training", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT’s Fort Worth District is looking for an Engineering Assistant II located in the Weatherford Area Office. The Engineering Assistant position is focused on producing PS&E design for various types of construction projects. This position will also rotate into the field to help oversee the execution of the project design plans. If you are looking to build a career or if you are a recent engineering graduate and are looking to build your skills, gain engineering experience, and grow your career then TXDOT’s Fort Worth District is the place for you! TXDOT offers outstanding training programs, opportunity for growth/advancement, work/life balance and supports engineering assistants through the licensing process by providing the Engineering Assistant Career Development Program. This program will assist in training in a rotation of areas and providing you with experience for your PE License. Start growing your professional career with TXDOT, apply today! Physical Address: 1427 W Bankhead, Weatherford, Tx 76086 Salary Grade: Engineering Assistant II: B21 $54,278 - $87,046 (Yearly) This posting is for one Engineering Assistant II position, depending on business need and applicants' qualifications. TXDOT reserves the right in determining the level of position based on the applicant's work experience, education, skill level, and all other appropriate factor based on business needs. 54,278.00 87,046.00", "summaryDescription" : "Engineering Assistant II at TxDOT. Skills: PS&E design, Field oversight. Produce PS&E design. Oversee project design plans", "createdAt" : "2026-06-14T06:39:12.119", "lastUpdated" : "2026-06-15T07:12:38.142", "ingestTimestamp" : "2026-06-14T06:39:12.119", "mongoId" : "694ae71c70f0b99d589b5920", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54278, "salaryAnnualMax" : 87046, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "PS&E design", "Field oversight", "Project execution", "Construction projects", "PE License" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 416.21423, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c8c4f74d8ee00a0975142", "title" : "Software Engineer, Private Computing", "company" : "OpenAI", "industry" : "Consumer Products", "salary" : { "min" : 230000.0, "max" : 385000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T03:21:39.951", "fingerprint" : "ad9cb23b31cbe38115f8a7ba4b37eeb5c0e36a83d6828780b2605ca52a7c1ba9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openai/0f887fe6-39f4-44f6-8ee5-230c3002f0d7/application", "externalId" : "0f887fe6-39f4-44f6-8ee5-230c3002f0d7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Confidential computing, End-to-end encryption, Kubernetes, Cloud orchestration", "professionalSkills" : [ "System design", "System scaling", "System operation", "Trust and verifiability" ], "hardSkillsList" : [ "Encryption technologies", "Confidential computing" ], "softSkillsList" : [ "User privacy", "Security" ], "hardSkills" : [ { "name" : "Encryption technologies", "level" : "intermediate" }, { "name" : "Confidential computing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "User privacy" }, { "name" : "Security" } ], "majorSkills" : "Private computing, Confidential computing, Encryption technologies", "majorSkillsList" : [ "Private computing", "Confidential computing", "Encryption technologies" ], "coreResponsibilities" : "Design privacy features, Build privacy features, Scale privacy features, Build core abstractions, Build product features, Update build systems, Integrate with safety infrastructure, Integrate with integrity infrastructure, Operate systems at scale, Manage on-call rotation", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Security teams; Safety teams; Policy teams; Legal teams", "domainKnowledge" : "Trusted execution environments; Private inference; Private storage", "domainList" : [ "trusted-execution-environments", "private-inference", "private-storage" ], "domainSpecificKnowledge" : [ "Trusted execution environments", "Private inference", "Private storage" ], "toolProficiency" : [ "Kubernetes" ], "specialRequirements" : "On-call rotation", "qualificationsBasic" : "5+ years software engineering, Experience with Kubernetes, Experience with cloud orchestration", "qualificationsPreferred" : "Experience building confidential computing, Experience scaling encryption technologies, Experience with Kubernetes and cloud orchestration systems, Experience building and operating scalable systems, Experience building and operating reliable systems, Experience building and operating secure systems", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the Team The Private Computing team works across product, engineering, security, and safety to build advanced privacy products and infrastructure at OpenAI. Our mission is to provide world-class security features to users so their private data remains private, even from OpenAI. We use technologies like confidential computing, trusted execution environments, and end-to-end encryption to ship product features across ChatGPT, the API, and our future consumer devices. About the Role We’re looking for software engineers to design, build, and scale novel privacy features and infrastructure across ChatGPT, API, and future consumer devices. In this role, you will: - Ship fast while balancing difficult trade-offs in complex domains - Build core abstractions for trusted execution environments and end-to-end-encryption - Build product features for private inference and storage across ChatGPT, API, and future consumer devices - Update build systems to increase trust and verifiability - Integrate with safety and integrity infrastructure - Operate systems at scale with high reliability, including an on-call rotation - Collaborate with a diverse set of cross-functional teams across product, engineering, security, safety, policy, and legal You might thrive in this role if you: - Care deeply about user privacy and security - Have 5+ years of experience in professional software engineering - Have experience building and scaling confidential computing or encryption technologies in production environments - Have experience with Kubernetes and cloud orchestration systems - Take pride in building and operating scalable, reliable, secure systems - Can collaborate well and drive alignment in the face of difficult trade-offs - Are comfortable with ambiguity and rapid change Workplace & Location This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Software Engineer, Private Computing at OpenAI. Skills: Private computing, Confidential computing, Encryption technologies. Design privacy features. Build privacy features", "createdAt" : "2026-06-13T22:11:14.147", "lastUpdated" : "2026-06-15T03:21:39.951", "ingestTimestamp" : "2026-06-13T22:11:14.147", "mongoId" : "6a2c8c4f74d8ee00a0975142", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 230000, "salaryAnnualMax" : 385000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Encryption technologies", "Confidential computing", "User privacy", "Security", "Private computing", "System design", "System scaling", "System operation", "Trust and verifiability", "Trusted execution environments", "Private inference", "Private storage", "Kubernetes" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 415.8669, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305efdf292fd229cf76de2", "title" : "Head of Engineering", "company" : "Dyna Robotics", "industry" : "Engineering", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Redwood City, CA", "locations" : [ "Redwood City, CA" ], "timestamp" : "2026-06-16T11:19:04.505", "fingerprint" : "bcfdcbdf81c2b963c2b0dfc51c21242d1667505d8abed279fc6f56dc6c182bd0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/dyna-robotics/99714a0d-9734-4e3c-a627-bfa836b724c9/application", "externalId" : "99714a0d-9734-4e3c-a627-bfa836b724c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "JOIN US TO SHAPE THE NEXT FRONTIER OF AI-DRIVEN ROBOTICS! Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry. Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma. The company has raised over $140M, backed by top investors, including CRV and First Round. We're positioned to redefine the landscape of robotic automation. THE ROLE We're looking for a senior engineering leader to build and lead Dyna's blended engineering organization across hardware, software, AI systems, and deployment-facing product work. This leader will create the team structure, operating rhythm, communication loops, and execution discipline that turn research breakthroughs into reliable customer deployments. This is not a pure technical architect role or a staff-plus IC role. You should understand complex hardware-software and AI-enabled systems deeply enough to ask the right questions, align experts, and connect research, software, hardware, and field deployment decisions. Your primary mandate is organizational: build the team, retain strong people, manage progress, share context, and ensure execution across ambiguous, high-stakes work. This is an on-site role based in Redwood City. You will work closely with Dyna's founders, senior leadership team, ML Research, Hardware, Software, Operations, Product, and Deployment. The right candidate understands that Dyna's advantage comes from tightly coupling research, engineering, and real-world deployment feedback, not from treating research and commercialization as separate handoffs. WHAT YOU'LL DO - Team Building & Retention: Hire, onboard, grow, and retain ICs and managers; build leadership capacity, clear ownership, useful feedback loops, and career paths before the organization outgrows them. - Operating Cadence & Resource Bottlenecks: Set planning cadences, milestones, owners, decision forums, and progress visibility while identifying bottlenecks across people, decisions, dependencies, hardware access, deployment support, and cross-team capacity. - Execution Ownership: Drive large, cross-functional initiatives from definition through field validation, launch, and post-deployment learning; define readiness criteria and operating metrics so quality, reliability, and safety risks are visible before deployment. - Research-to-Deployment Loop: Partner with research, software, hardware, and operations so customer deployment feedback becomes actionable engineering and research priorities. - Vision & Context Alignment: Translate leadership-team vision into clear execution context for managers and ICs, keeping teams aligned on goals, tradeoffs, risks, timelines, resource constraints, and next decisions. WHAT YOU'LL BRING - Engineering Leadership & Org Building: 10+ years in hardware, software, robotics, or complex systems engineering, including 4+ years managing engineers and 1+ year managing managers, with a track record hiring, scaling, retaining, and developing teams through fast growth and ambiguity. - Operating Discipline: Strong instincts for planning, accountability, risk management, execution reviews, readiness tracking, resource bottleneck detection, and clearing systemic blockers without becoming the technical owner of every detail. - Hardware + Software Systems Context: Real understanding of environments where software/AI, hardware, and real-world deployment are tightly coupled, such as AV, AR/VR, robotics, drones, consumer electronics, smart devices, or AI-enabled manufacturing; enough technical judgment to align specialists without acting as the primary IC. - Research-to-Deployment Fluency: Experience taking research prototypes, complex hardware-software systems, or physical AI products toward dependable real-world deployment. - Cross-Functional Communication: Ability to coordinate clearly with researchers, engineering leads, hardware, operations, deployment, product, field operators, executives, and customers, translating leadership direction into execution-team context without losing ownership, urgency, or clarity. BONUS POINTS FOR - Relevant Backgrounds: Robotics is a strong plus, but not required. Strong candidates may come from AV, AR/VR, drones, consumer electronics, smart devices, hardware + software platforms, AI-enabled manufacturing, or similar complex hardware-software environments. - Org Scaling: Experience scaling an engineering organization through multiple layers of management. - Field Feedback Loops: Experience building deployment-feedback loops where real-world data directly improves research, models, product, or platform reliability. - Technical Exposure: Exposure to ML training infrastructure, model serving, data systems, real-time systems, edge deployment, hardware-software interfaces, or complex physical-product launches. At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect. Don't let a checklist stop you. We value judgment, ownership, communication, and execution over keyword matching. If you're excited to build the organization that turns robotics research into durable customer value, we want to hear from you.", "summaryDescription" : "Head of Engineering at Dyna Robotics", "createdAt" : "2026-06-16T00:29:58.723", "lastUpdated" : "2026-06-16T11:19:04.505", "ingestTimestamp" : "2026-06-16T00:29:58.723", "mongoId" : "6a305efdf292fd229cf76de2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "_score" : 415.05368, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306034f292fd229cf8815a", "title" : "Director of Engineering", "company" : "GiveDirectly", "salary" : { "min" : 7500000.0, "max" : 1.25E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on global remote Director of Engineering roles in the non-profit sector, adjusted for seniority and the global remote nature of the position." }, "location" : "Global", "locations" : [ "Global" ], "timestamp" : "2026-06-16T11:09:40.591", "fingerprint" : "ef5eb2f7874069713e0ee993454c5bb6490a56ba48019184d92e6ac6e056d6cd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/givedirectly/jobs/4706119005", "externalId" : "4706119005", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceLevel" : "Director", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up. Our work has been covered by The Economist, NPR, TED, and The Washington Post. We are one of Time100’s Most Influential Companies of 2026. Our culture is candid, analytical, and non-hierarchical. We support high ownership and real professional growth. Curious about what it's really like to work here? Read our values and hear from the people who do. If they resonate, this could be a great fit! Location: This role is fully remote but will directly manage team members spanning East Africa Time to US Pacific Time. You must overlap with East Africa Time by at least 3 hours. As an example, 6PM East Africa Time is 11AM US Eastern time in the summer and 10AM in the winter. In practice, if you are in the Eastern US timezone, that means being regularly available for 8AM meetings and some 7AM ones. We know people have commitments like school drop-offs, so you’re encouraged to set a schedule that works for you—as long as there’s sufficient overlap with the team. We are unable to sponsor or take over sponsorship of employment Visas in the U. S. or U. K. at this time. About this role We’re hiring a Director of Engineering to build a best-in-class engineering department in a moment of rapid growth; we’ve more than doubled our engineering team in the last year and are continuing to hire. Your initial focus will be on our cash delivery platform: you'll own the technical systems that deliver the next $4B to people in extreme poverty, our goal for the next nine years, with scenarios on the table that would require us to scale much faster. We recently launched a platform rebuild as a greenfield project, and the work ahead is scaling it from initial launch to delivering billions. This role is deliberately sequenced: you'll start close to the ground — directly managing engineers, partnering with our platform product lead on roadmap and delivery, and getting deep in the operational details (on-call, incident response) — because we believe the leader who builds that context firsthand is the one who can design the right organization for the next level of scale. You will own maintaining and scaling a strong engineering culture through rapid growth: shaping how we hire and structure teams, recruiting and retaining a high talent density team, and building strong operating processes and culture that encourage open debate in search of the best outcomes for recipients rather than attachment to being right or looking good; continuous learning, improvement, and adoption of new tools; deep product ownership in service of impact for recipients; and strong judgment about tradeoffs. You'll set a high technical quality bar, pressure-testing designs and tradeoffs while still giving a very senior team high autonomy. You’ll shape our multi-year technical strategy: where the platform should be shared across product lines versus split or modular, when to build versus buy versus extend, how to sequence major architectural transitions, and how to balance investment with feature development. You optimize for recipient impact, not the most interesting technical problem. We're not driven by hot new technical trends; we're building the hard tech that matters to recipients — integrations with mobile money rails and delivery in low-connectivity contexts. You'll represent engineering at the senior leadership level and own the interface between engineering and team members who haven't worked heavily with a product development organization before. That means learning our programs and the realities of our field teams, and working with partner teams to build our development practices, whether building trust that an MVP is a starting point rather than a final answer, or helping teams see why it’s worth taking time out of their urgent delivery goals to give feedback on a demo or try something new. As GiveDirectly scales, technology is what allows us to reach more people without breaking. Your leadership means getting more cash to the people who need it most. Reports to: VP of Technology Level: Director Travel Requirement: Must be able to travel ~2-3 times per year to one of our countries of operation for team retreats or field visits What you’ll do: Own the engineering organization for our cash delivery platform: its structure, staffing strategy, and operating model — and redesign these as the team grows, including deciding when and how to build out a management layer (today: 6 engineers on the cash delivery platform, 11 engineers total; additional hires planned this year) Own multi-year technical strategy for the platform: defining interfaces and boundaries between domains, determining when to build versus buy versus extend, and how to sequence major architectural transitions — driving the biggest bets to a decision with the Platform Product Lead, VP of Technology, and leadership Protect and scale the culture as we grow: open debate, product ownership, continuous improvement, and strong engineering foundations Own engineering delivery — the commitments leadership and stakeholders plan against, platform reliability, and the trade-offs between roadmap speed and platform investment — in close partnership with the Platform Product Lead Drive operational excellence, including on-call, incident response, code quality, testing, AI, and deployment practices Represent engineering at the leadership level: translate technical realities into business decisions and vice versa, and partner with diverse stakeholders to create the enabling environment for product development Coach and develop engineers through 1:1s, feedback, career planning, and performance management; hire, onboard, and retain a strong, inclusive team Set the technical quality bar: stay close enough to the technical work to weigh in on architecture, review designs, and help the team make sound trade-offs, without becoming the bottleneck What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Language Requirement: English 5+ years managing engineers, including experience leading multiple teams or a larger engineering organization through full delivery cycles 10+ years of overall industry experience building production software, with a strong backend foundation (databases, cloud services, APIs) Demonstrated ability to recruit, coach, develop, and retain engineers, building and retaining a talent-dense and inclusive team during periods of high growth Track record of building a strong engineering culture including candid, ego-free debate, deep product ownership, and continuously raising the bar on craft and tooling (including agentic engineering) You enable speed through focus and create clarity in ambiguity: cutting through complexity to the strategic kernel and shielding the team from distraction, so a senior team can move fast and autonomously Strong technical judgment driven by the mission, not ego: you can pressure-test architecture decisions with very senior engineers, have made consequential calls and lived with the results, and weigh technical and non-technical tradeoffs by recipient impact Energized to build product-development fluency in an organization that's relatively new to it: you've successfully partnered with non-technical stakeholders and leaders, and you’re excited by this, rather than daunted by it Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here. Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United States Base Salary: $200,000 Bonus at Target Performance: 15% (~$30,000, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$35,100) Estimated Total Compensation at Target: $230,000+ Annual Benefits Stipend: ~$33,427 This role is fully remote, so if you are not based in the US, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to \"Know Your Rights\" as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide!", "summaryDescription" : "Director of Engineering at GiveDirectly", "postedDate" : "2026-06-15T23:24:29.412", "createdAt" : "2026-06-15T23:24:29.412", "lastUpdated" : "2026-06-16T11:09:40.591", "ingestTimestamp" : "2026-06-15T23:24:29.412", "mongoId" : "6a306034f292fd229cf8815a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 7500000, "salaryAnnualMax" : 12500000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 413.9849, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.97 }, { "id" : "6a306f0df292fd229cfe45de", "title" : "Director of Engineering, Infrastructure", "company" : "Klaviyo", "industry" : "Technology", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Engineering, Infrastructure in Boston, MA, adjusted for SaaS industry and company size." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T12:33:07.745", "fingerprint" : "bf44336977e4225f4b02ebff6a90b1d48fca44cd0f3532310e3ceb2dfa1266f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.klaviyo.com/careers/jobs?gh_jid=7768263003", "externalId" : "7768263003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "experienceLevel" : "Director", "technicalSkills" : "Compute runtimes, Storage options, Service networking, AI", "professionalSkills" : [ "Platform primitives", "Capacity planning", "Developer enablement", "Cost management", "Performance metrics", "Infrastructure management", "Incident management", "Postmortems" ], "hardSkillsList" : [ "SLOs", "SLIs", "SRE principles" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "SLOs", "level" : "intermediate" }, { "name" : "SLIs", "level" : "intermediate" }, { "name" : "SRE principles", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Infrastructure, Platform engineering, SRE, Cloud", "majorSkillsList" : [ "Infrastructure", "Platform engineering", "SRE", "Cloud" ], "coreResponsibilities" : "Define platform primitives, Create golden paths, Create decision trees, Drive initiatives reliability, Coordinate with product teams, Eliminate infrastructure bottlenecks, Establish cost frameworks, Mentor high-performing teams, Develop high-performing teams, Set clear goals, Collaborate with partners, Manage platform investments, Clarify ownership, Implement infrastructure changes, Track performance metrics, Report performance metrics, Optimize AI use, Enhance infrastructure management, Enhance development processes, Pioneer innovative workflows, Champion operational readiness, Establish SLAs, Establish SLIs, Facilitate learning culture, Facilitate experimentation culture, Deploy AI enhancements, Streamline engineering workflows, Lead incident management, Lead postmortems", "teamCollaboration" : "Industry leaders; Cross-functional partners; Product teams; Engineering teams; Security teams; Finance teams", "domainKnowledge" : "Enterprise-grade web properties; LiveSite platform", "domainList" : [ "enterprise-grade-web-properties", "livesite-platform" ], "domainSpecificKnowledge" : [ "Enterprise-grade web properties", "LiveSite platform" ], "innovationCreativity" : "Pioneering innovative workflows; Continuous learning; Experimentation with AI tools", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Achieve reliability metrics; Achieve performance metrics; Reduce friction; Enhance developer velocity; Improve time-to-market; Increase developer satisfaction; Maximize value delivery; Align goals with business priorities; Drive strategic outcomes; Enable data-driven decision-making; Ensure performance thresholds", "qualificationsBasic" : "10+ years experience infrastructure, 5+ years managing managers, 5+ years managing senior ICs, Experience with LiveSite, Understand infrastructure requirements, Understand integration patterns, Understand operational demands", "qualificationsPreferred" : "Deep understanding of SRE principles, Proven expertise designing SLOs, Proven expertise designing SLIs, Proven expertise managing incidents, Proven expertise capacity planning, Proven expertise operational continuity", "workSiteFlexibility" : "Flexible", "rawDescription" : "At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo’s mission is to empower businesses to independently drive their growth, and the Engineering Department's contribution to this mission is crucial. As Director of Production Infrastructure, you'll helm the creation and management of a high-performance platform designed to support the rapid innovation demanded by our R&D teams. This role is all about defining the pillars of our infrastructure, compute, storage, networking, observability, and setting a robust set of principles that guide their use. In this position, you'll be entrusted with the responsibility of developing and maintaining platform primitives that empower our engineering teams to bring ideas to life seamlessly. Collaborating with industry leaders across engineering, security, and finance, your decisions will shape the infrastructure blueprint that underpins our scalable, secure, and cost-effective operations. As a leader, your mission is to foster a culture of ownership, innovation, and productivity while steering teams toward achieving critical reliability and performance metrics. Your role will span across defining clear service contracts, instituting capacity plans, and honing our developer enablement strategy to reduce friction and enhance developer velocity. How You’ll Make a Difference Lead the definition of platform primitives such as compute runtimes, storage options, and service networking, ensuring they are scalable, secure, and aligned with Klaviyo's standards for operational excellence. Create and disseminate golden paths and decision trees that simplify the technological choices for R&D teams, enhancing consistency and self-sufficiency across engineering efforts. Drive initiatives that enhance the reliability of production systems, focusing on incident prevention, transparent response protocols, and proactive capacity planning. Coordinate with product teams to identify and eliminate infrastructure bottlenecks, aiding in improving the time-to-market for new services and increasing developer satisfaction. Establish frameworks for cost-effective infrastructure management, balancing financial discipline with flexibility and efficiency to maximize value delivery. Mentor and develop high-performing teams, fostering a culture of inclusivity and ownership, while setting clear, impactful goals that align with business priorities. Collaborate with cross-functional partners to manage platform investments, clarify ownership, and safely implement infrastructure changes that drive strategic outcomes. Track and report critical performance metrics, such as system reliability, developer productivity, and infrastructure costs, enabling data-driven decision-making and accountability. Optimize the use of AI to enhance infrastructure management and development processes, pioneering innovative workflows that keep Klaviyo at the forefront of technological advancement. Champion operational readiness by establishing robust SLAs and SLIs, ensuring all infrastructure components meet defined performance thresholds conforming to Klaviyo's quality standards. Facilitate a culture of continuous learning and experimentation with AI tools, deploying enhancements that intelligently streamline engineering workflows. Lead a disciplined approach to incident management and postmortems, establishing a blameless culture of learning and innovation to minimize future disruptions. Who You Are You have over 10 years of experience in infrastructure, SRE, platform engineering, or security engineering, with at least 5 years managing managers and senior ICs, demonstrating strong leadership and team-building skills. Your leadership style fosters inclusivity and empowerment, setting high standards that inspire your teams to achieve ambitious goals aligned with Klaviyo's mission. You possess a deep understanding of SRE principles, with proven expertise in designing effective SLOs and SLIs, managing incidents, and ensuring capacity planning and operational continuity. You have experience with LiveSite (the enterprise web platform) and understand the infrastructure requirements, integration patterns, and operational demands that come with supporting enterprise-grade web properties at scale. You own the live site, you bring urgency, clear judgment, and a structured approach to production incidents, and you build teams that treat uptime and reliability as first-order concerns, not afterthoughts. You have a proven track record of standing up or strengthening LiveSite culture inside engineering orgs. You excel at simplifying complexity and creating logical clarity, using your strong communication skills to drive organizational changes across product, data, and security domains. Your decision-making is driven by outcomes, and you're comfortable prioritizing initiatives that deliver the most significant business impact, even if it means narrowing the scope. Your hands-on experience with AI makes you AI-curious, and you're eager to leverage it to drive smarter, more efficient infrastructure operations. Your technical expertise is both broad and deep, you command public cloud services, container orchestration, service meshing, data storage, and observability at a systems level, and you remain hands-on when it counts, able to roll up your sleeves and debug a complex distributed-systems problem alongside your team. You build and nurture a culture of ownership and continuous improvement, encouraging your teams to innovate and excel while maintaining a strong focus on customer value. You possess a keen ability to balance strategic thinking with tactical execution, ensuring infrastructure solutions not only meet current needs but are future-proof and scalable. You are an org builder, you know how to scale a team thoughtfully, develop high-potential engineers into managers, and create the conditions for leaders to emerge and grow. You raise the bar relentlessly, you set high standards for engineering excellence, hold yourself and your teams accountable to those standards, and invest continuously in growing the people around you. You are an org builder, you know how to scale a team thoughtfully, develop high-potential engineers into managers, and create the conditions for leaders to emerge and grow. You raise the bar relentlessly, you set high standards for engineering excellence, hold yourself and your teams accountable to those standards, and invest continuously in growing the people around you. Committed to fostering a learning environment, you continually seek ways to improve team skills, processes, and technologies to align with Klaviyo's growth and innovation objectives. You bring a security-first mindset to infrastructure decisions, with experience partnering closely with security engineering teams to build platforms that are secure by design and operationally hardened. You bring a security-first mindset to infrastructure decisions, with experience partnering closely with security engineering teams to build platforms that are secure by design and operationally hardened. Nice to Have Previous experience in transforming internal platforms into productized services, complete with SLAs and developer experience-focused roadmaps. Background in architecting data-centric and event-driven systems at a large scale, particularly within a high-growth environment. Established partnerships with centralized data platforms, defining clean ownership boundaries and integrating efficiently with existing workflows. Proven track record of optimizing both cost-to-serve and reliability metrics in a scaling SaaS company, driving significant impact on the bottom line. Familiarity with the challenges and opportunities characteristic of a high-growth SaaS milieu, with a focus on leveraging those to drive platform innovation and efficiency. Why This Role Matters The Director of Production Infrastructure at Klaviyo is a mission-critical role that directly influences the core foundations of our technology stack. Ensuring that our infrastructure is robust, scalable, and future-proof enables our engineering teams to accelerate product development effectively and safely, cementing Klaviyo’s position as an industry leader in empowering business growth. Your leadership will impact our ability to innovate rapidly and maintain the high standards of reliability our customers expect. By driving infrastructure improvements that reduce developer friction, enhance system reliability, and lower operational costs, you ensure Klaviyo can offer exceptional value to our clients while scaling our operations sustainably. For a top candidate, this role represents a unique opportunity to lead a team in redefining infrastructure excellence against the backdrop of a dynamic business landscape. You’ll play a pivotal role in shaping the technological trajectory of Klaviyo, working alongside passionate professionals committed to creating powerful solutions that enable our customers to achieve significant growth. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U. S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $244,000—$366,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).", "summaryDescription" : "Director of Engineering, Infrastructure at Klaviyo. Skills: Infrastructure, Platform engineering, SRE, Cloud. Define platform primitives. Create golden paths", "postedDate" : "2026-06-16T01:15:39.691", "createdAt" : "2026-06-16T01:15:39.691", "lastUpdated" : "2026-06-16T12:33:07.745", "ingestTimestamp" : "2026-06-16T01:15:39.691", "mongoId" : "6a306f0df292fd229cfe45de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "SLOs", "SLIs", "SRE principles", "Leadership", "Mentoring", "Infrastructure", "Platform engineering", "SRE", "Cloud", "Platform primitives", "Capacity planning", "Developer enablement", "Cost management", "Performance metrics", "Infrastructure management", "Incident management", "Postmortems", "Enterprise-grade web properties", "LiveSite platform" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 412.70215, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c754c74d8ee00a0936993", "title" : "VP of Engineering", "company" : "Hyperbolic Labs", "industry" : "Engineering", "salary" : { "min" : 350000.0, "max" : 550000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a VP of Engineering in San Francisco, adjusted for executive seniority and a technology company." }, "location" : "San Francisco, CA", "locations" : [ "San Francisco, CA" ], "timestamp" : "2026-06-15T10:27:01.068", "fingerprint" : "0296621cef92d64021c013ba43316c5f30d9c82b5802923e212a1d2b563402d9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hyperbolic/c6039f86-4915-4d1d-9e10-ac7c2a484d5c/application", "externalId" : "c6039f86-4915-4d1d-9e10-ac7c2a484d5c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "Kubernetes, Linux, AI/ML, GPU", "professionalSkills" : [ "System design", "Architecture reviews", "Capacity planning", "Vendor relationships" ], "hardSkillsList" : [ "Cloud infrastructure", "GPU orchestration", "Compute scheduling", "Networking", "Storage architecture", "Distributed systems", "Infrastructure-as-Code", "Automation frameworks", "Observability", "Monitoring", "Reliability engineering", "Incident response", "SRE", "Platform Engineering" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "GPU orchestration", "level" : "intermediate" }, { "name" : "Compute scheduling", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "Storage architecture", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Infrastructure-as-Code", "level" : "intermediate" }, { "name" : "Automation frameworks", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Reliability engineering", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "SRE", "level" : "intermediate" }, { "name" : "Platform Engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Cloud platforms, GPU infrastructure, AI/ML compute", "majorSkillsList" : [ "Cloud platforms", "GPU infrastructure", "AI/ML compute" ], "coreResponsibilities" : "Lead infrastructure strategy, Own organizational growth, Make executive decisions, Lead design and evolution, Define architecture for GPU orchestration, Define architecture for compute scheduling, Define architecture for networking, Define architecture for storage, Define architecture for distributed systems, Make decisions regarding cloud infrastructure, Make decisions regarding bare-metal deployments, Make decisions regarding platform scalability, Participate in architecture reviews, Participate in technical initiatives, Build and scale GPU clusters, Design systems for GPU provisioning, Design systems for scheduling, Design systems for utilization optimization, Design systems for capacity management, Drive platform reliability, Drive platform performance, Partner with engineering teams, Remain involved in engineering decisions, Remain involved in technical direction, Contribute to infrastructure design, Contribute to infrastructure implementation, Review architecture proposals, Review system designs, Review infrastructure changes, Act as technical escalation point, Establish best practices for Kubernetes, Establish best practices for observability, Establish best practices for CI/CD, Establish best practices for security, Establish best practices for operational excellence, Build SRE functions, Build Platform Engineering functions, Define reliability standards, Define SLOs, Define SLIs, Define incident response processes, Define capacity planning, Drive automation across operations, Recruit infrastructure teams, Develop infrastructure teams, Recruit platform teams, Develop platform teams, Recruit SRE teams, Develop SRE teams, Build engineering culture, Partner with executive leadership, Manage infrastructure budgets, Manage vendor relationships, Manage capacity planning", "teamCollaboration" : "Partnering with engineers; Partner with executive leadership", "domainKnowledge" : "AI cloud platform; GPU-native cloud; AI training; AI inference; Distributed systems; Cloud infrastructure; Bare-metal deployments", "domainList" : [ "ai-cloud-platform", "gpu-native-cloud", "ai-training", "ai-inference", "distributed-systems", "cloud-infrastructure", "bare-metal-deployments" ], "domainSpecificKnowledge" : [ "AI cloud platform", "GPU-native cloud", "AI training", "AI inference", "Distributed systems", "Cloud infrastructure", "Bare-metal deployments" ], "problemSolvingSkills" : "Debugging critical issues; Troubleshooting", "remoteFriendly" : false, "rawDescription" : "WHO WE ARE Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality. As we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing. ABOUT THE ROLE We are seeking a highly technical Vice President of Infrastructure to build and scale the foundational infrastructure powering our AI cloud platform. This is a hands-on executive leadership role. While you will own infrastructure strategy, organizational growth, and executive-level decision making, we expect you to remain deeply engaged in architecture, design, and engineering execution. You should expect to spend approximately 30-40% of your time directly contributing to technical design, architecture reviews, debugging critical production issues, and partnering with engineers on implementation. The ideal candidate has previously built and scaled cloud platforms, preferably GPU-native cloud infrastructure supporting AI training and inference workloads. You have experience operating at the intersection of executive leadership and hands-on engineering and are excited to help build both the technology and the team. WHAT YOU'LL OWN CLOUD INFRASTRUCTURE ARCHITECTURE - Lead the design and evolution of our AI cloud platform - Define the architecture for GPU orchestration, compute scheduling, networking, storage, and distributed systems - Make critical decisions regarding cloud infrastructure, bare-metal deployments, and platform scalability - Personally participate in architecture reviews and key technical initiatives GPU CLOUD PLATFORM - Build and scale large GPU clusters supporting customer workloads - Design systems for GPU provisioning, scheduling, utilization optimization, and capacity management - Drive platform reliability and performance for AI training and inference workloads - Partner closely with engineering teams on infrastructure requirements for next-generation AI systems TECHNICAL LEADERSHIP - Remain deeply involved in engineering decisions and technical direction - Contribute directly to infrastructure design and implementation efforts - Review architecture proposals, system designs, and major infrastructure changes - Act as the technical escalation point for complex infrastructure challenges INFRASTRUCTURE & RELIABILITY - Establish best practices for Kubernetes, observability, CI/CD, security, and operational excellence - Build SRE and Platform Engineering functions from the ground up - Define reliability standards including SLOs, SLIs, incident response processes, and capacity planning - Drive automation across infrastructure operations ORGANIZATIONAL LEADERSHIP - Recruit and develop world-class Infrastructure, Platform, and SRE teams - Build a high-performance engineering culture focused on ownership and execution - Partner with executive leadership on company strategy and infrastructure investments - Manage infrastructure budgets, vendor relationships, and capacity planning REQUIRED EXPERIENCE MUST-HAVE BACKGROUND - 12+ years building and operating large-scale infrastructure systems - Experience leading infrastructure organizations while remaining hands-on technically - Previous experience building or operating a cloud platform at scale - Experience building GPU infrastructure or AI/ML compute platforms - Proven track record scaling infrastructure in high-growth startup environments DEEP TECHNICAL EXPERTISE - Expert-level Kubernetes knowledge - Experience designing and operating multi-region cloud infrastructure - Strong understanding of Linux, networking, distributed systems, and storage architecture - Experience with Infrastructure-as-Code and automation frameworks - Deep expertise in observability, monitoring, and reliability engineering - Experience building highly available production systems STRONGLY PREFERRED - Experience with GPU scheduling, Slurm, Kubernetes GPU operators, Ray, or distributed training systems - Experience managing thousands of GPUs in production environments - Background supporting AI training and inference platforms Hyperbolic is an equal opportunity employer. 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Skills: Computer Vision, AI, ML", "postedDate" : "2026-06-16T01:51:42.293", "createdAt" : "2026-06-16T01:51:42.293", "lastUpdated" : "2026-06-16T15:06:12.719", "ingestTimestamp" : "2026-06-16T01:51:42.293", "mongoId" : "6a307fadf292fd229c05c29e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Computer Vision", "AI", "ML", "Augmented Reality" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 411.35184, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c948474d8ee00a098ab07", "title" : "Computer Science Teacher", "company" : "ACCEL Schools", "industry" : "Education", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Mid-level Computer Science Teacher in OHDELA, United States, with adjustments for the education industry and company size." }, "location" : "OHDELA", "locations" : [ "OHDELA" ], "certifications" : [ "Ohio teaching license" ], "timestamp" : "2026-06-15T08:26:01.963", "fingerprint" : "df15afc005c90825ae4c283b14d265eba836f28962c811fdcfbd3e0b32b04206", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/accelschools/jobs/7770796003", "externalId" : "7770796003", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ohio", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Ohio, United States", "professionalSkills" : [ "Instructional practices", "Instructional program adjustments", "Culturally responsive teaching" ], "hardSkillsList" : [ "Written communication skills", "Verbal communication skills" ], "hardSkills" : [ { "name" : "Written communication skills", "level" : "intermediate" }, { "name" : "Verbal communication skills", "level" : "intermediate" } ], "majorSkills" : "Student achievement, Social-emotional development, Academic accountability", "majorSkillsList" : [ "Student achievement", "Social-emotional development", "Academic accountability" ], "coreResponsibilities" : "Serve as teacher of record, Deliver live lessons, Complete course set up, Monitor student progress, Provide feedback, Grade assignments daily, Track student contact, Maintain student contact, Collaborate with Principal, Create Progress Reports, Deliver Progress Reports, Review student data, Differentiate instruction, Utilize best practices, Create classroom environment, Integrate teaching practices, Implement culture expectations, Implement school norms, Communicate with families, Incorporate technology skills, Participate in planning activities, Implement non-instructional activities, Attend social events, Attend field trips, Collaborate with colleagues, Communicate with colleagues, Travel to support testing, Perform other duties", "teamCollaboration" : "Collaborate with colleagues; Communicate with colleagues", "domainKnowledge" : "21st century curriculum; State Standards; Common Core Standards", "domainList" : [ "21st-century-curriculum", "state-standards", "common-core-standards" ], "domainSpecificKnowledge" : [ "21st century curriculum", "State Standards", "Common Core Standards" ], "toolProficiency" : [ "Microsoft Office", "Word", "Outlook", "Learning Management System" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Progress Reports", "specialRequirements" : "Travel required, Face to face attendance required, Stand for up to 90 minutes, Supervise students, Pass background checks", "outcomesObjectives" : "Meet student achievement goals; Meet culture goals; Meet academic accountability goals", "qualificationsBasic" : "Ohio teaching license, Knowledge of State Standards, Knowledge of Common Core Standards, Ability to stand for up to 90 minutes, Ability to supervise students, Ability to pass federal and state criminal background checks", "qualificationsPreferred" : "Two years' experience teaching, Experience working in a multi-cultural setting", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us OHDELA (Ohio Distance and Electronic Learning Academy) is a tuition-free, K-12 online school dedicated to transforming education through a state-of-the-art virtual experience. We offer a flexible, standards-aligned curriculum delivered by highly qualified teachers, providing 24/7 access to learning. As a premier online academy, we tailor our instruction to meet the unique needs of every student—from advanced learners to those seeking a safe, bully-free environment. We are seeking teachers who are excited to create a rigorous and nurturing classroom environment that prioritizes student learning and social-emotional development. ACCEL Schools uses a cutting-edge 21st-century curriculum, which can be accessed online and through a variety of traditional methods.  Please note – while this is an online school position and all instruction occurs virtually, travel and face to face attendance will be required several times per year to support in person state testing and student events. Eligibility: Open to residents of Ohio About the Opportunity Serve as the teacher of record and primary instructor in all core content areas and grade levels Relentlessly work to meet all goals related to student achievement and culture as well as state specific academic accountability goals Deliver highly effective live lessons via web conference based on student need, rooted in research-based instructional practices Complete course set up for each course within the Learning Management System Monitor student progress in asynchronous courses and provide feedback/grade assignments daily Track and maintain contact with each student Collaborate with Principal to create and deliver Progress Reports of Students Review student level data frequently to inform instructional program adjustments Differentiate instruction to meet the needs of all students Utilize research-based best practices in both synchronous and asynchronous instruction Create a joyful, caring, and loving classroom environment for all students Integrate culturally responsive teaching practices into daily lessons and interactions with students, parents, and colleagues Implement school-wide culture expectations and norms, inside the classroom and beyond Communicate regularly with families regarding the academic and social-emotional growth of their child Incorporate 21st century technology skills into daily classroom practice and team settings Participate in the planning and implementation of non-instructional activities such as social events and field trips and attend these events in person Collaborate and communicate effectively, humbly, and respectfully with all colleagues Travel to support required face-to-face state testing annually Perform other duties as assigned About You Current Ohio teaching license in appropriate content area Knowledge of State Standards and Common Core Standards Preferred two years’ experience teaching High level of comfort working in a growth-focused coaching environment based on frequent observations, debriefs, action planning, and progress monitoring High quality written and verbal communication skills High proficiency in Microsoft Office products including Word and Outlook Ability to properly manage confidential information Ability to stand for up to 90 minutes at a time Ability to supervise students in all school settings Ability to pass federal and state criminal background checks Experience working in a multi-cultural setting preferred About Us “We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances.” – Ron Packard, CEO & Founder ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick-and-mortar, virtual, and hybrid schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities. We offer the following benefits: Compensation and Benefits: The compensation and benefits information below is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.   The annual starting salary for this position is between $43,000 – $51,000 annually. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Life benefits – time & peace of mind Paid time off Retirement contributions Optional Basic Life and AD&D insurance Voluntary life insurance (employee, spouse, child) Discounted childcare at Early Learning Academies locations Health benefits – stay well & thrive Medical, dental, and vision insurance Employee Assistance Program Voluntary short-term disability insurance Voluntary long-term disability insurance Career benefits – keep growing Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals EQUAL EMPLOYMENT OPPORTUNITY It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.", "summaryDescription" : "Computer Science Teacher at ACCEL Schools. 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To learn how to apply for a faculty or staff position, please review this [tip sheet](https://my.it.miami.edu/wda/erpsec/tipsheets/ER_eRecruiting_ApplyforaJob.pdf). **SUMMARY OF JOB RESPONSIBLITIES:** The hospitalist in the clinical educator track is responsible for providing direct in-patient medical care to pediatric and newborn patients. He/she/they will also provide in-patient and outpatient medical consultation in a variety of settings. He/she/they will be will be involved with medical student and education. **ESSENTIAL JOB RESPONSIBILITIES/FUNCTIONS TO INCLUDE BUT ARE NOT LIMITED TO:** · Direct care to Pediatric hospitalized patients · Direct care to Newborns in the Mother-Baby Unit · Consultation for hospitalized pediatric patients on any service · Perioperative optimization for Pediatric Patients at the Bascom Palmer Eye Institute · Coordinate Pediatric subspecialty care · Participate in quality improvement activities · Participate in committee work · Participate in medical student, resident and fellow education · Provide leadership for academic projects in education, quality and safety or division/departmental administration **QUALIFICATIONS:** · Valid Medical Degree · Board eligible/Board Certified in Pediatrics and/or Pediatric Hospital Medicine · Valid and unrestricted Florida Medical License or eligible to apply **KNOWLEDGE, SKILLS, AND ABILITIES:** · Must maintain CME to meet institutional and state licensing requirements. · Must have excellent clinical knowledge and experience to provide safe and quality care to patients and meet institutional standards of care. · Must have excellent interpersonal skills to communicate with staff, patients, and family members. · Must demonstrate the ability to meet responsibilities of the position **WORKING ENVIRONMENT:** · Must be able to physically respond when on-call · Hospital maintains safety and infection control programs in place to reduce risk to employees The University of Miami is an Equal Opportunity/Affirmative Action Employer The University of Miami is an Equal Opportunity Employer. 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Apply and implement appropriate therapy knowledge and plans patient care with appropriate patient goals. Completes documentation requirements in a proficient and timely manner. Assumes responsibility for personal and professional development. Administers and supervises physical therapy treatments to patients with a wide range of health problems under the direct orders of a physician/podiatrist. Coordinates care patients with other skilled care providers to plan, implement and access treatment programs.", "teamCollaboration" : "Communicates with team members, customers, managers, etc. to coordinate plan of care and provide optimal patient experience. Coordinates care patients with other skilled care providers to plan, implement and access treatment programs.", "communicationSkills" : "Communicates with team members; Communicates with customers; Communicates with managers", "documentationSkills" : "Completes documentation requirements", "continuousLearning" : "Assumes responsibility for personal and professional development.", "specialRequirements" : "New Grads Welcome to Apply. Valid driver’s license with agency insurance requirements. Weekend Requirements: Once per month. Holiday Requirements: Rotating within the team. COVID-19 Vaccination: Adventist HealthCare strongly recommends all applicants to be fully vaccinated for COVID-19 before commencing employment. Applicants may be required to furnish proof of vaccination. Tobacco and Drug Statement: Adventist HealthCare will not hire applicants for employment who either state that they are nicotine users or who test positive for nicotine and drug use. Medical marijuana use will not be accepted as a valid explanation for a positive drug test result. Adventist HealthCare will withdraw offers of employment to applicants who test positive for Cotinine (nicotine) and marijuana.", "outcomesObjectives" : "Provide optimal patient experience. Plan patient care with appropriate patient goals.", "qualificationsBasic" : "Master’s degree or higher from an accredited physical therapy program. Maryland Physical Therapy Licensure. Active American Heart Association Basic Life Support (BLS) certification required. Valid driver’s license with agency insurance requirements.", "qualificationsPreferred" : "One to three years’ experience preferred. One year home care experience preferred.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AHC - Home Health Silver Spring ## [If you are a current Adventist HealthCare employee, please click this link to apply through your Workday account.](http://www.myworkday.com/adventisthealthcare/d/task/3005$4482.htmld) ## _****_ Adventist HealthCare Home Health is hiring a Physical Therapist (PT) servicing in our Silver Spring. Rockville or Southern Maryland Territory! We're seeking a Physical Therapist (PT) who will embrace our mission to extend God’s care through the ministry of physical, mental and spiritual healing. As a Physical Therapist (PT), you will: • Communicates with team members, customers, managers, etc. to coordinate plan of care and provide optimal patient experience. • Administers physical therapy interventions and treatments according to agency’s accepted policies and procedures. • Apply and implement appropriate therapy knowledge and plans patient care with appropriate patient goals. • Completes documentation requirements in a proficient and timely manner. • Assumes responsibility for personal and professional development. • Administers and supervises physical therapy treatments to patients with a wide range of health problems under the direct orders of a physician/podiatrist • Coordinates care patients with other skilled care providers to plan, implement and access treatment programs. Qualifications include: • Master’s degree or higher from an accredited physical therapy program • Maryland Physical Therapy Licensure • Active American Heart Association Basic Life Support (BLS) certification required • Valid driver’s license with agency insurance requirements • One to three years’ experience preferred • One year home care experience preferred Work Schedule: * **Employment Type:** Full-time * **Hours per Week:** 40 hrs/week * **Typical Daily Schedule:** 8:00 AM–5:00 PM Monday through Friday * **Shift Type:** Days * **Weekend Requirements:** Once per month * **Holiday Requirements:** Rotating within the team For more information on Adventist HealthCare's Home Care, visit **Pay Range:** $34.58 - $51.87 If the salary range is listed as $0 or if the position is Per Diem (with a fixed rate), salary discussions will take place during the screening process. **Under the Fair Labor Standards Act (FLSA), this position is classified as:** United States of America (Non-Exempt) **At Adventist HealthCare our job is to care for you.** We do this by offering: * Work life balance through nonrotating shifts * Recognition and rewards for professional expertise * Free Employee parking * Medical, Prescription, Dental, and Vision coverage for employees and their eligible dependents effective on your date of hire * Employer-paid Short & Long-Term Disability, Basic Life Insurance and AD&D, (short-term disability buy-up available) * Paid Time Off * Employer retirement contribution and match after 1-year of eligible employment with a 3-year vesting period * Voluntary benefits include flexible spending accounts, legal plans, and life, pet, auto, home, long term care, and critical illness & accident insurance * Subsidized childcare at participating childcare centers * Tuition Reimbursement * Employee Assistance Program (EAP) support As a faith-based organization, with over a century of caring for the communities in the Maryland area, Adventist HealthCare has earned a reputation for high-quality, compassionate care. Adventist HealthCare was the first and is the largest healthcare provider in Montgomery County. If you want to make a difference in someone’s life every day, consider a position with a team of professionals who are doing just that, making a difference. Join the Adventist HealthCare team today, apply now to be considered! **COVID-19 Vaccination** Adventist HealthCare strongly recommends all applicants to be fully vaccinated for COVID-19 before commencing employment. Applicants may be required to furnish proof of vaccination. **Tobacco and Drug Statement** Tobacco use is a well-recognized preventable cause of death in the United States and an important public health issue. In order to promote and maintain a healthy work environment, Adventist HealthCare will not hire applicants for employment who either state that they are nicotine users or who test positive for nicotine and drug use. While some jurisdictions, including Maryland, permit the use of marijuana for medical purposes, marijuana continues to be classified as an illegal drug under the federal Controlled Substances Act. As a result, medical marijuana use will not be accepted as a valid explanation for a positive drug test result. Adventist HealthCare will withdraw offers of employment to applicants who test positive for Cotinine (nicotine) and marijuana. Those testing positive are given the opportunity to re-apply in 90 days, if they can truthfully attest that they have not used any nicotine products in the past ninety (90) days and successfully pass follow-up testing. (\"Nicotine products\" include, but are not limited to: cigarettes, cigars, pipes, chewing tobacco, e-cigarettes, vaping products, hookah, and nicotine replacement products (e.g., nicotine gum, nicotine patches, nicotine lozenges, etc.). **Equal Employment Opportunity** Adventist HealthCare is an Equal Opportunity/Affirmative Action Employer. We are committed to attracting, engaging, and developing the best people to cultivate our mission-centric culture. Our goal is to have a welcoming, equitable, and safe place to work and grow for all employees, no matter their background. AHC does not discriminate in employment opportunities or practices on the basis of race, ethnicity, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, pregnancy and related medical conditions, protected veteran status, or any other characteristic protected by law. Adventist HealthCare will make reasonable accommodations for applicants with disabilities, in accordance with applicable law. Adventist HealthCare is a religious organization as defined under applicable law; however, it will endeavor to provide reasonable accommodations for applicants’ religious beliefs. Applicants who wish to request accommodations for disabilities or religious belief should contact the Support Center HR Office.", "summaryDescription" : "Visiting Physical Therapist at Adventist HealthCare Home Health. Skills: Physical Therapy, Patient Care, Documentation, Maryland Physical Therapy Licensure, BLS Certification. Administers physical therapy interventions and treatments according to agency’s accepted policies and procedures. Apply and implement appropriate therapy knowledge and plans patient care with appropriate patient goals. Completes documentation requirements in a proficient and timely manner. Assumes responsibility for person", "postedDate" : "2026-06-12T20:56:52.915", "createdAt" : "2026-06-14T20:56:52.850", "lastUpdated" : "2026-06-15T08:40:15.408", "ingestTimestamp" : "2026-06-14T20:56:52.850", "mongoId" : "6a2d9eea74d8ee00a0c59a63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://adventisthealthcare.wd1.myworkdayjobs.com/AdventistHealthCareCareers/job/Silver-Spring-MD/Visiting-Physical-Therapist--Day-Shift--Home-Health--New-Grads-Welcome-to-Apply-_R-042273", "salaryAnnualMax" : 448, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Administer physical therapy interventions", "Apply therapy knowledge", "Administer physical therapy treatments", "Supervise physical therapy treatments", "Coordinate patient care", "Physical Therapy, Patient Care, Documentation, Maryland Physical Therapy Licensure, BLS Certification", "Maryland Physical Therapy Licensure", "Basic Life Support (BLS)" ], "skillCount" : 8, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 403.58243, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ad4d274d8ee00a07169ab", "title" : "Visiting Assistant Professor, Teaching Appointment, Environmental Science", "company" : "University of San Francisco", "salary" : { "min" : 103184.83, "max" : 113633.96, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-14T19:40:41.720", "fingerprint" : "8619feea3c7252761a9e82557f23859d0f2c0e2b5167850ebb4c15fc90bf0723", "source" : "workday", "language" : "en", "applyUrl" : "https://usfca.wd5.myworkdayjobs.com/USF_Full-Time_Faculty/job/USF-Hilltop-Campus/Visiting-Assistant-Professor--Teaching-Appointment--Environmental-Science--University-of-San-Francisco_R0012494", "externalId" : "R0012494", "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Environmental chemistry, Environmental statistics, Geospatial science, GIS", "professionalSkills" : [ "Environmental management", "Ecosystem science", "Ecological restoration", "Environmental remediation", "Risk assessment", "Climate change mitigation", "Urban sustainability", "Urban resilience" ], "hardSkillsList" : [ "Research Methods" ], "hardSkills" : [ { "name" : "Research Methods", "level" : "intermediate" } ], "majorSkills" : "Environmental science, Environmental management", "majorSkillsList" : [ "Environmental science", "Environmental management" ], "coreResponsibilities" : "Teach undergraduate courses, Teach graduate courses, Teach introductory courses, Teach capstone courses, Teach elective courses, Provide research mentorship, Support graduate capstone projects, Engage in service to Department, Engage in service to College", "domainKnowledge" : "Water resources management; Natural resources management", "domainList" : [ "water-resources-management", "natural-resources-management" ], "domainSpecificKnowledge" : [ "Water resources management", "Natural resources management" ], "continuousLearning" : "Faculty Development and Diversity; Center for Teaching Excellence; Center for Research", "qualificationsBasic" : "PhD or terminal degree, Expertise to teach 2+ areas, Experience advising students, Commitment to teaching excellence, Record of university teaching, Understanding of USF mission, Commitment to USF mission", "qualificationsPreferred" : "Interdisciplinary training in ecology, Interdisciplinary training in water resources", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Title:** Visiting Assistant Professor, Teaching Appointment, Environmental Science, University of San Francisco **Job Summary:** The Department of Environmental Science at the University of San Francisco invites applications for a full-time Visiting Assistant Professor position for the 2027 calendar year to begin January 2027, with the possibility of renewal contingent upon funding approval. Candidates with interdisciplinary training in ecology and/or water resources are preferred, but other areas of specialization within the sphere of environmental science and management will be considered. The successful candidate will have breadth in environmental science and management and will contribute to both the Master of Science in Environmental Management (MSEM) and the Bachelor of Science in Environmental Science (ENVS) degrees offered by the Environmental Science Department. **Full Job Description:** Job Responsibilities: The successful candidate will teach undergraduate and graduate courses in environmental science and management, including introductory, capstone, and elective courses, depending on their area of expertise. The teaching load for this position is 24 units for the year, split between the graduate and undergraduate programs. This teaching load includes a combination of semester-long undergraduate courses (4 units) and half-semester graduate courses (2 units). Research mentorship responsibilities will include providing individualized support in the development and realization of graduate capstone projects. In addition, the successful candidate will be expected to engage in service to the Department and College. **Minimum Qualifications** : A PhD or appropriate terminal degree in their field with the expertise to teach undergraduate and graduate-level courses in two or more of the following areas: introductory environmental science, environmental chemistry, environmental statistics and/or geospatial science (GIS), natural resources/water resources management, ecosystem science, ecological restoration, as well as broader management courses including but not limited to environmental remediation, risk assessment and management, climate change mitigation and urban sustainability/resilience. Experience advising students in independent research is required so that the candidate can support courses such as Research Methods and the Master's Project in our graduate program. This position requires a commitment to excellence in teaching within a culturally diverse environment. A strong record of teaching at the university level and an understanding of and commitment to the University of San Francisco's mission are required. Applicants should submit: 1) a cover letter summarizing interests and qualifications; 2) a curriculum vitae; 3) a statement of teaching philosophy and experience, which should include what courses the candidate is interested in teaching and a reflection on teaching in a culturally diverse educational environment; 4) evidence of teaching ability (e.g., sample syllabi, teaching evaluations); and 5) three letters of recommendation, requested upon submission of application. Additional materials may be requested later in the process. Questions can be addressed to [_ENVSsearch @usfca.edu_](http://mailto:ENVSsearch@usfca.edu). For full consideration, applications should be submitted by **July 15, 2026**. Applications will be accepted until the position is filled. We invite candidates to find out more about the ENVS and MSEM programs at the [_ENVS website_](https://www.usfca.edu/arts-sciences/programs/undergraduate/environmental-science), the [_MSEM website_](http://www.usfca.edu/msem), and the [_MSEM Blog_](https://usfblogs.usfca.edu/msemenvs/). In addition, all new faculty have access to a free membership with the [_National Center for Faculty Development and Diversity_](https://myusf.usfca.edu/crase/national-center-for-faculty-development-and-diversity) and support from the [_Center for Teaching Excellence_](https://myusf.usfca.edu/cte) and the [_Center for Research, Artistic and Scholarly Excellence_](https://www.usfca.edu/crase). **Full-Time/Part-Time:** Full time **Pay Rate:** Salary **Salary Range :** $103,184.83-$113,633.96 annualized; commensurate with experience", "summaryDescription" : "Visiting Assistant Professor, Teaching Appointment, Environmental Science at University of San Francisco. Skills: Environmental science, Environmental management. Teach undergraduate courses. Teach graduate courses", "postedDate" : "2026-06-09T02:06:20.471", "createdAt" : "2026-06-12T02:06:20.186", "lastUpdated" : "2026-06-14T19:40:41.720", "ingestTimestamp" : "2026-06-12T02:06:20.186", "mongoId" : "6a2ad4d274d8ee00a07169ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://usfca.wd5.myworkdayjobs.com/USF_Full-Time_Faculty/job/USF-Hilltop-Campus/Visiting-Assistant-Professor--Teaching-Appointment--Environmental-Science--University-of-San-Francisco_R0012494", "salaryAnnualMin" : 103184, "salaryAnnualMax" : 113633, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Research Methods", "Environmental science", "Environmental management", "Ecosystem science", "Ecological restoration", "Environmental remediation", "Risk assessment", "Climate change mitigation", "Urban sustainability", "Urban resilience", "Water resources management", "Natural resources management" ], "skillCount" : 12, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 402.31018, "daysOld" : 5, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a306783f292fd229cfbe8c7", "title" : "Associate Director of Engineering", "company" : "Ossium Health", "industry" : "Biotech", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Associate Director of Engineering in Indianapolis, adjusted for the biotech industry and director-level seniority." }, "location" : "Indianapolis, Indiana, United States", "locations" : [ "Indianapolis", "Indiana", "United States" ], "timestamp" : "2026-06-16T07:17:11.874", "fingerprint" : "4789a68f2719a135ccea7458a38d707377e98a0b3d09a86501ae0fd62d62aa42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ossiumhealth.com/jd?gh_jid=4689003006", "externalId" : "4689003006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Indianapolis", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7683331,-86.1583502" } ], "locationText" : "Indianapolis, Indiana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceLevel" : "Director", "technicalSkills" : "Python, Java, C++, Go, SQL, NoSQL, AWS, Azure, GCP, Docker, Kubernetes, CI/CD, REST APIs, GraphQL, Microservices, Linux, Shell scripting", "professionalSkills" : [ "System design", "Architecture design", "Problem solving", "Analytical thinking" ], "hardSkillsList" : [ "Software development", "Cloud computing", "DevOps practices", "Data engineering", "API development", "Database management", "System administration" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "System administration", "level" : "intermediate" } ], "majorSkills" : "Software engineering, Cloud infrastructure, DevOps, Biotech data", "majorSkillsList" : [ "Software engineering", "Cloud infrastructure", "DevOps", "Biotech data" ], "coreResponsibilities" : "Design, develop, and maintain scalable software systems, Build and manage CI/CD pipelines, Implement and manage cloud infrastructure, Develop and maintain data pipelines, Collaborate with cross-functional teams, Troubleshoot and resolve software defects, Optimize system performance, Ensure system security and compliance, Mentor junior engineers, Contribute to architectural decisions", "teamCollaboration" : "Cross-functional teams; Engineering teams; Research scientists; Data scientists", "projectManagementSkills" : [ "Agile methodologies", "Scrum framework" ], "domainKnowledge" : "Genomics; Proteomics; Drug discovery; Clinical trials; Bioinformatics", "domainList" : [ "genomics", "proteomics", "drug-discovery", "clinical-trials", "bioinformatics" ], "domainSpecificKnowledge" : [ "Genomics", "Proteomics", "Drug discovery", "Clinical trials", "Bioinformatics" ], "toolProficiency" : [ "Git", "JIRA", "Jenkins", "Terraform", "Ansible", "Prometheus", "Grafana" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Technical writing; Architecture diagrams; API documentation", "continuousLearning" : "Professional development; Attending conferences", "innovationCreativity" : "Exploring new technologies; Developing novel solutions", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical problem solving", "outcomesObjectives" : "Deliver high-quality software; Improve system reliability; Enhance system scalability; Accelerate research timelines", "qualificationsBasic" : "Bachelor's degree in a relevant field, 5+ years of experience in software engineering, Experience with cloud platforms (AWS, Azure, GCP), Experience with CI/CD pipelines, Experience with containerization technologies (Docker, Kubernetes)", "qualificationsPreferred" : "Master's degree or PhD in a relevant field, Experience in the biotech or pharmaceutical industry, Experience with data analysis and visualization tools, Experience with machine learning frameworks", "remoteFriendly" : false, "rawDescription" : "About Ossium Ossium’s mission is to improve the health, vitality, and longevity of human beings through bioengineering. We develop, manufacture, and bank cell therapy products that apply the power of stem cell science to revolutionize treatment for patients with blood, immune, and orthopedic diseases. At Ossium, we empower our employees, maintain the highest standards of operational excellence, and are a force for good. About the Job This is a high-impact leadership role at the center of our manufacturing and technical operations. As the Associate Director of Engineering, you will lead the engineering and maintenance function supporting GMP/GTP manufacturing, ensuring equipment, processes, and systems remain reliable, compliant, and scalable as we grow. You will partner closely with Production, Manufacturing, Quality, Supply Chain, MSAT, and Facilities to position Engineering as both a technical problem solver and a strategic enabler of safe, high-quality, and reliable product supply. As a key member of the Site Operations Team, you will drive disciplined execution, risk-based decision-making, and continuous improvement across the site. This role is ideal for a technical leader who thrives in complex, regulated environments, builds strong and accountable teams, and is energized by modernizing systems to support increasing production demand and new product launches. The position reports directly to the SVP of Manufacturing Operations. Required Qualifications Bachelor’s degree in Engineering and 8+ years of experience in pharmaceutical or biotech manufacturing OR 12+ years of relevant engineering experience in a regulated manufacturing environment 4+ years of people management experience leading engineers or technical staff Strong working knowledge of CGMP/CGTP requirements and engineering support in regulated aseptic or sterile manufacturing environments Experience with equipment qualification (IQ/OQ/PQ), validation, and change controls Proven track record of improving equipment reliability and reducing unplanned downtime Strong project management, documentation, and communication skills Experience with root cause analysis, FMEA, and SOP development This position is based full time onsite in our Indianapolis facility Preferred Qualifications Experience supporting commercial-scale pharmaceutical or biotech manufacturing, including tech transfers, in multiple functional areas Familiarity with computerized maintenance management systems (CMMS) Experience leading capital projects and facility expansions Lean or Six Sigma certification Experience implementing automation and digital engineering solutions Experience interacting with regulatory inspectors (FDA, EMA, or equivalent) Expertise in business intelligence and analytics (Tableau, Power BI, SQL) Key Responsibilities Lead, mentor, and develop a high-performing engineering team including facilities, validation, maintenance, and automation personnel Be a key member of our Site Operations Team, ensuring reliable supply of product to patients Own equipment lifecycle management including design input, commissioning, qualification, maintenance strategy, and retirement Oversee capital projects from concept through execution, ensuring scope, budget, and timelines are achieved Establish and improve preventive maintenance and reliability programs to reduce downtime and deviation risk Partner with Manufacturing, QA, and MSAT to support process improvements and capacity expansion Ensure engineering compliance with CGMP/CGTP, safety standards, and internal procedures Lead root cause investigations related to equipment, utilities, and facility systems Drive data-based reliability improvements using trend analysis and KPIs Support inspection readiness and represent Engineering during regulatory audits Develop long-term facility and infrastructure strategy aligned with commercial growth plans Travel (domestic and international) when required (<10%) to support other sites In your first six months some projects you’ll work on include: Assessing current equipment reliability, PM effectiveness, and engineering KPIs Implementing a new CMMS software platform Identifying and prioritizing capital investments to support production growth Standardizing engineering documentation and technical standards Developing a 12-24 month engineering roadmap aligned to commercial scale and regulatory readiness We offer a full slate of employee benefits including: Competitive salaries Stock options 401(k) matching Medical, dental and vision coverage Four weeks of PTO accrued (vacation & sick time) annually + 11 company holidays Employer paid life insurance and long term disability Gym membership/recreational sports reimbursements Ossium Health provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation, gender identity, gender expression, or any other protected characteristic. Our Equal Employment Opportunity Policy Statement and the Know Your Rights: Workplace Discrimination is Illegal Poster reaffirm this commitment. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If reasonable accommodation is needed, please contact our People Team at careers@ossiumhealth.com or 650-285-0603. Ossium Health complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. Principals / direct applicants only please. Recruiters, please do not contact this job poster. Equal Opportunity Employer/Veterans/Disabled", "summaryDescription" : "Associate Director of Engineering at Ossium Health. Skills: Software engineering, Cloud infrastructure, DevOps, Biotech data. Design, develop, and maintain scalable software systems. Build and manage CI/CD pipelines", "postedDate" : "2026-06-15T23:28:47.909", "createdAt" : "2026-06-15T23:28:47.909", "lastUpdated" : "2026-06-16T07:17:11.874", "ingestTimestamp" : "2026-06-15T23:28:47.909", "mongoId" : "6a306783f292fd229cfbe8c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "Cloud computing", "DevOps practices", "Data engineering", "API development", "Database management", "System administration", "Software engineering", "Cloud infrastructure", "DevOps", "Biotech data", "System design", "Architecture design", "Problem solving", "Analytical thinking", "Agile methodologies", "Scrum framework", "Genomics", "Proteomics", "Drug discovery", "Clinical trials", "Bioinformatics", "Git", "JIRA", "Jenkins", "Terraform", "Ansible", "Prometheus", "Grafana" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 402.293, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 120987, "totalPages" : 2420, "hasNext" : true, "hasPrevious" : false } }

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