{ "count" : 57473, "data" : [ { "id" : "6a3056b8f292fd229cf2d856", "title" : "Research Intern, Model Shaping (Fall 2026)", "company" : "Together AI", "industry" : "Technology", "salary" : { "min" : 58.0, "max" : 63.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T07:26:50.070", "fingerprint" : "e4dc2fb62c643e2265bdeab4011cb0b574f16e93ad62f543515ad85b7cd99a80", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/togetherai/jobs/5157661007", "externalId" : "5157661007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Amsterdam, North Holland, Netherlands; San Francisco, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "rawDescription" : "About The Role As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph. D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation models or efficient machine learning Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP) Understanding of model optimization techniques and hardware acceleration approaches Contributions to open-source machine learning projects Internship Program Details Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th and this role will be located in our San Francisco or Amsterdam office. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, SWARM Parallelism, Mixture of Agents, and RedPajama. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $63. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy", "summaryDescription" : "Research Intern, Model Shaping (Fall 2026) at Together AI", "postedDate" : "2026-06-15T23:17:19.842", "createdAt" : "2026-06-15T23:17:19.842", "lastUpdated" : "2026-06-16T07:26:50.070", "ingestTimestamp" : "2026-06-15T23:17:19.842", "mongoId" : "6a3056b8f292fd229cf2d856", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120640, "salaryAnnualMax" : 131040, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c962374d8ee00a098eb78", "title" : "Research Intern, Inference (Fall 2026)", "company" : "Together AI", "industry" : "Technology", "salary" : { "min" : 58.0, "max" : 63.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T06:18:43.042", "fingerprint" : "3061368b546ac70955065b67ce63300ea48a2a07c029d287a8a91164383d6156", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/togetherai/jobs/5157759007", "externalId" : "5157759007", "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" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, PyTorch, JAX, CUDA", "professionalSkills" : [ "Systems engineering", "Hardware optimization", "Algorithm design" ], "hardSkillsList" : [ "Distributed inference", "Compiler optimization", "Kernel development" ], "hardSkills" : [ { "name" : "Distributed inference", "level" : "intermediate" }, { "name" : "Compiler optimization", "level" : "intermediate" }, { "name" : "Kernel development", "level" : "intermediate" } ], "majorSkills" : "Foundation models, ML systems, Inference optimization", "majorSkillsList" : [ "Foundation models", "ML systems", "Inference optimization" ], "coreResponsibilities" : "Design and conduct experiments, Communicate project plans, Communicate project progress, Communicate project results, Document findings in publications, Document findings in blog posts, Co-design optimizations, Implement cross-layer optimizations, Unlock performance and scale, Enable faster serving, Enable larger model deployment, Enable robust evaluation", "teamCollaboration" : "Broader team communication", "domainKnowledge" : "Foundation models; Large scale serving; Mixture-of-Experts; Inference-time computation; KV cache design; Open and transparent AI", "domainList" : [ "foundation-models", "large-scale-serving", "mixture-of-experts", "inference-time-computation", "kv-cache-design", "open-and-transparent-ai" ], "domainSpecificKnowledge" : [ "Foundation models", "Large scale serving", "Mixture-of-Experts", "Inference-time computation", "KV cache design", "Open and transparent AI" ], "communicationSkills" : "Scientific publications; Blog posts", "documentationSkills" : "Scientific publications; Blog posts", "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Final year Bachelor's, Master's, or Ph.D, Machine Learning and Deep Learning fundamentals, Deep learning frameworks experience, Python programming skills, Transformer architectures knowledge", "qualificationsPreferred" : "Prior research experience, Publications at leading conferences, CUDA programming experience, Model optimization techniques knowledge, Hardware acceleration approaches knowledge, Open-source machine learning contributions", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph. D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models, efficient machine learning, or ML systems. Publications at leading conferences in machine learning or systems (i.e., MLSys, ICLR). Experience with CUDA programming (for kernel development) Understanding of model optimization techniques and hardware acceleration approaches Contributions to open-source machine learning projects Internship Program Details Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58-63/hr. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. 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Communicate project plans", "postedDate" : "2026-06-13T20:52:24.354", "createdAt" : "2026-06-13T20:52:24.354", "lastUpdated" : "2026-06-15T06:18:43.042", "ingestTimestamp" : "2026-06-13T20:52:24.354", "mongoId" : "6a2c962374d8ee00a098eb78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120640, "salaryAnnualMax" : 131040, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Distributed inference", "Compiler optimization", "Kernel development", "Foundation models", "ML systems", "Inference optimization", "Systems engineering", "Hardware optimization", "Algorithm design", "Large scale serving", "Mixture-of-Experts", "Inference-time computation", "KV cache design", "Open and transparent AI" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d81bb74d8ee00a0c1175d", "title" : "2026 Fall Intern - Research & Development", "company" : "GM", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 62000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level R&D internships in the automotive industry in Warren, MI, adjusted for company size and seniority." }, "location" : "Warren, Michigan, United States of America", "locations" : [ "Warren, Michigan, United States of America" ], "timestamp" : "2026-06-16T06:07:41.180", "fingerprint" : "0ed96a38de01da6ab1e863c9bcf52c5d4e66b371b41078d54be05baf96cab387", "source" : "workday", "language" : "en", "applyUrl" : "https://generalmotors.wd5.myworkdayjobs.com/Careers_GM/job/Warren-Michigan-United-States-of-America/XMLNAME-2026-Fall-Intern---Research---Development_JR-202613027", "externalId" : "JR-202613027", "industryFunction" : { }, "locationPoint" : "50.13171,-97.54738", "structuredLocations" : [ { "city" : "Warren", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.4932575,-83.0062746" } ], "locationText" : "Warren, Michigan, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "innovationCreativity" : "R&D projects", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "**Job Description** **GM does not provide immigration-related sponsorship for this role.** **Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).** **To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.** **Hybrid:** This role is categorized as hybrid. This means the successful candidate is expected to report in office three times per week, at minimum [or other frequency dictated by the business]. The start date for this internship is September 7, 2026. **The Team** At GM, we craft products people crave and experiences they never forget. It all starts with research and development. We are looking for R&D Interns to craft, design, and develop groundbreaking concepts and technologies that will help shape the future of mobility. In this internship, you will plan and execute collaborative research across advanced engineering, systems optimization, autonomy, safety, manufacturing, and power electronics. Projects may include component analysis and application of AI tools, systems optimization and use of agentic systems, evaluation of multi-modal command recognition approaches for off-road autonomy, comparison of human body models for injury severity prediction, and development of next-generation electrical power devices and switching technologies. You will work with technical leaders across GM Research and Development to explore innovative approaches that combine engineering fundamentals with AI, modeling, simulation, controls, robotics, and advanced electronics. Our culture of innovation gives you the opportunity to contribute to impactful research, support development of advanced technical solutions, and help shape future vehicle, mobility, and engineering capabilities. **What You Will Do** * Conduct research and/or experiments to collect required data and validate research ideas * Apply engineering, computational, and AI-based methods to challenging research problems across multiple technical domains * Develop AI/ML models and algorithms for simulation tools and workflows supporting component analysis, structural optimization, systems optimization, autonomous vehicles, injury prediction, or power electronics research. * Analyze and compare technical approaches, methods, or system architectures and provide data-driven recommendations * Develop reproducible test protocols, validation plans, or benchmarking approaches for research activities as needed * Document and present results; depending on the assignment, work may lead to external publications and/or intellectual property * Develop and execute specific research plans, including concept generation, development, implementation, and validation * Collaborate effectively with peers, management, operations groups, and outside organizations **Required Qualifications** * U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens * Must be currently enrolled in a PhD program * Pursuing a degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Industrial Engineering, Systems Engineering, Biomedical Engineering, Applied Mathematics, or a closely related science/engineering field * Strong foundation in at least one of the following areas: engineering analysis, AI/ML, optimization, robotics, simulation, controls, injury biomechanics, electric machines and drives, or power electronics * Programming, modeling, or simulation experience using relevant engineering or data analysis tools * Ability to work both independently and in teams * Consistently demonstrate critical thinking and strong teamwork * Effective verbal and written communication skills * Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers **What Will Give You a Competitive Advantage (Preferred Qualifications)** * Prior research, internship, or project experience in CAE, structural optimization, engineering mechanics, systems engineering, autonomy, robotics, safety modeling, injury biomechanics, semiconductor devices, controls, electric machines and drives, or power electronics * Experience applying AI/ML, optimization, or agentic systems to engineering or operational problems * Familiarity with testing, validation, benchmarking, or evaluation of multi-modal perception or command recognition systems * Experience with simulation, modeling, or comparison of human body models or injury prediction methods * Background and experience in AI assisted topological optimization of electric machines * Exposure to wide bandgap semiconductors, GaN devices, switching technologies, or advanced electrical power systems * Demonstrated ability to translate technical findings into clear recommendations for technical and non-technical audiences * Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed * Demonstrates leadership in field of study, extra-curricular activities, or service organizations * Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights * Willingness to ask questions, take initiative, and be inventive * Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a rapidly moving environment * High level of integrity, ability to deal with ambiguity, and takes initiative/self-directed * Evidence of strong character with integrity, honesty, accountability, and trust **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting [**Total Rewards resources**](https://search-careers.gm.com/en/working-at-gm/total-rewards). **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit [**How we Hire**](https://search-careers.gm.com/en/how-we-hire). **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, [**email**](mailto:Careers.Accommodations@GM.com)**** us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "summaryDescription" : "2026 Fall Intern - Research & Development at GM", "postedDate" : "2026-06-13T19:44:08.507", "createdAt" : "2026-06-14T19:44:08.441", "lastUpdated" : "2026-06-16T06:07:41.180", "ingestTimestamp" : "2026-06-14T19:44:08.441", "mongoId" : "6a2d81bb74d8ee00a0c1175d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://generalmotors.wd5.myworkdayjobs.com/Careers_GM/job/Warren-Michigan-United-States-of-America/XMLNAME-2026-Fall-Intern---Research---Development_JR-202613027", "salaryAnnualMin" : 48000, "salaryAnnualMax" : 62000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "junior", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305815f292fd229cf40284", "title" : "Design Intern (Fall 2026)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 18.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Colorado-Denver", "locations" : [ "United States-Colorado-Denver" ], "timestamp" : "2026-06-16T07:16:22.314", "fingerprint" : "9da6f0e12fb5c220210881542c57c3f9a3493d8abe7106b52e49422506271630", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784854", "externalId" : "784854", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Offer real-world experience on exciting projects, Perform assignments under direct supervision, Participate in architectural design process, Develop alternative solutions, Develop presentation graphics, Follow through on design development drawings, Follow through on design development models, Collaborate with production staff for technical details, Collaborate with production staff for completion of construction, Perform other duties as needed", "domainKnowledge" : "Architectural design", "domainList" : [ "architectural-design" ], "domainSpecificKnowledge" : [ "Architectural design" ], "continuousLearning" : "Mentoring programs", "qualificationsBasic" : "2 years completed toward degree, 3.0+ GPA", "qualificationsPreferred" : "Demonstrated knowledge of software packages related to field of study/industry", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe architecture is more than designing buildings, it’s about providing solutions to societal challenges and creating stronger, more vibrant communities. As part of our Architecture practice at HDR, you’ll contribute to the design and delivery of spaces and experiences that advance community well-being around the world. From healing environments and learning spaces to research labs and civic landmarks and infrastructure, your work will directly influence how individuals experience the world around them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. In the role of Design Intern (Fall 2026) Offer real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals programs Perform assignments under the direct supervision of an Architect, Project Manager, or other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to client or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Perform other duties as needed Preferred Qualifications 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Colorado: %2418 - %2430", "summaryDescription" : "Design Intern (Fall 2026) at HDR. Offer real-world experience on exciting projects. Perform assignments under direct supervision", "createdAt" : "2026-06-15T23:09:19.623", "lastUpdated" : "2026-06-16T07:16:22.314", "ingestTimestamp" : "2026-06-15T23:09:19.623", "mongoId" : "6a305815f292fd229cf40284", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Architectural design" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Architecture & Planning", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cdb9174d8ee00a0a50eb3", "title" : "Aerodynamics Intern (Fall 2026)", "company" : "Zipline", "salary" : { "min" : 48000.0, "max" : 64000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for entry-level Aerodynamics Intern positions in South San Francisco, with adjustments for the technology industry and company size." }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T04:30:23.376", "fingerprint" : "994ef194bf0f50fbefc75ed586ba6e5f37e55c09fbd17e2745060311f333dfc7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7772198003#open-roles", "externalId" : "7772198003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About the Applied Aerodynamics Team Without the Aerodynamics team, the Zipline drones would not fly! This team is responsible for the aerodynamic performance of the aircraft, from high-level aeronautical considerations down to the detailed surface design. We work on everything from the body and propellers to vehicle dynamics and aeroacoustics, and in order to ensure our product is successful we collaborate strongly with almost every other engineering team, including GNC, structures, mechanical integration, avionics, perception, systems, weather and others. The Role As an intern in the Aerodynamics Team you can expect to work on any one of our current open projects alongside our world-class aerodynamicists and aeronautical engineers, both learning from their experience and bringing your own perspective to the tasks. This is an opportunity to test the skills and knowledge you’ve learned at school in a practical and fast-paced environment, where we leverage our understanding of physics to solve real problems. You will learn to use a variety of tools - from low fidelity calculations, through CFD simulation to experimental analysis - to help drive the design of our current and future products forward. What You'll Do Vehicle design analysis including aerodynamics, propulsion, and power system performance. Low- and high-fidelity analytical modeling of vehicle subsystems and behaviors Aerodynamic database generation and building analysis of flight behaviors Experiment planning, execution and data analysis, from wind tunnels to flight tests Support multidisciplinary team including controls, mechanical, production, software, and electrical engineers to tackle design challenges and resolve time-sensitive issues What You'll Bring You will be studying one or more of the following areas: fluid mechanics, aerodynamics, flight physics, aeronautical engineering, acoustics. A strong understanding of the technical content of these courses is the most valuable asset you will bring, and will help you exercise good engineering judgment. Understanding and experience with any of the following toolsets is advantageous. If you have not used the tool before, we’ll teach you to use it where needed. Continuum- or Lattice Boltzmann-based computational fluid dynamics, such as STAR-CCM+, Fluent, OpenFOAM, or PowerFLOW Wind tunnel test identification, planning, execution, troubleshooting, and data analysis using a variety of electro-mechanical and optical diagnostic techniques Flight test planning for system identification and simulation validation, cross functional planning, test execution, and data analysis MATLAB, Python, Rust, or similar software tools CAD advanced surfacing tools, such as CATIA or NX To be maximally effective we will need you to work in our head office in South San Francisco. For certain testing programs, limited travel (within California) may be required. What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Fall 2026 interns from September to December. Candidates are limited to three (3) applications within a 30-day period. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.", "summaryDescription" : "Aerodynamics Intern (Fall 2026) at Zipline", "postedDate" : "2026-06-14T19:14:35.837", "createdAt" : "2026-06-14T19:14:35.837", "lastUpdated" : "2026-06-16T04:30:23.376", "ingestTimestamp" : "2026-06-14T19:14:35.837", "mongoId" : "6a2cdb9174d8ee00a0a50eb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 64000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a66f292fd229c03b85b", "title" : "Simulation Intern", "company" : "AST SpaceMobile", "salary" : { "min" : 120000.0, "max" : 240000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an entry-level Simulation Intern in Hyderabad, India, with adjustments for the technology industry and internship employment type." }, "location" : "Hyderabad, Telangana, India", "locations" : [ "Hyderabad", "Telangana", "India" ], "timestamp" : "2026-06-16T11:13:38.624", "fingerprint" : "a094afd2c8746c0b055f3c0999ee4ad0aff1cc2694a2cd261392de4dcb402d9a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ast-science.com/company/careers/?gh_jid=4699744005", "externalId" : "4699744005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "rawDescription" : "AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected. Position Overview We are seeking a matlab developer for the simulation team Key Responsibilities: Need to develop models of embedded systems in matlab Qualifications Education: Enter required education or certifications B.Tech is needed ( preferably ECE) to be of matlab skills Experience: A minimum of 0 years Preferred Qualifications: List qualifications that are desired not required Soft Skills: LStrong interpersonal skills,Proven ability to collaborate effectively within cross-functional teams, Excellent written and verbal communication skills are essential

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