Sierra Space
space and defense technology
ComputerVisionEngineerIII-OpticsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Computer Vision Engineer III - Optics Engineer at Sierra Space. Skills: Computer Vision, Machine Learning, AI software and hardware development, Optics Engineering, Satellite Systems. design, architect, and optimize AI software and hardware that utilizes visual data to perform specific tasks or solve complex problems. advancing RPO (Rendezvous and Proximity Operations) capabilities and solutions for satellites”
What You'll Achieve.
safeguard our nation; sustain human presence in space; secure the freedom of operations in low Earth orbit and beyond; safeguarding national security; protect, preserve and empower; safeguard our nation; protect space-based assets; enable space exploration
Industry & Context.
problem-solving skills; solve complex problems
The ability to obtain and maintain a U. S. Security Clearance is required, U. S. Citizenship status is required as this position needs an active U. S. Security Clearance for employment, Non-U. S. Citizens may not be eligible to obtain a security clearance
What They're Looking For.
Must Have
bachelor's degree in a related field (or equivalent work experience in lieu of degree or master's +3 yrs experience), 5+ years of related experience, Expertise in one to multiple programming languages and advanced understanding of software development principles, Experience with different software development methodologies such as Agile and Scrum/Kanban, Ability to design and architect complex software systems, problem-solving skills, Ability to mentor and guide other engineers, The ability to obtain and maintain a U. S. Security Clearance is required
Nice to Have
Extensive experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch, Experience with developing and deploying Image Processing algorithms, In-depth knowledge of machine learning algorithms and techniques, Prior experience with the design, integration and/or testing of integrated EO/IR systems, Experience with deriving optical system requirements from mission label requirements, Experience characterizing EO/IR Imaging System performance including: MTF, SNR, Distortion, Non-uniformity Characterizations, and Calibration, Experience with satellite systems or aerospace applications, Proven track record of successfully delivering complex computer vision projects from concept to deployment, Act as the Subject Matter Expert (SME) for optical sensors, providing technical guidance on sensor selection, calibration, and integration into computer vision systems, analytical skills and attention to detail, Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders, Experience with cloud platforms and services for deploying and scaling computer vision applications, Familiarity with hardware acceleration techniques for computer vision tasks, such as using GPUs or specialized hardware, Experience with data annotation and management for training computer vision models, Knowledge of image processing techniques and tools, Ability to lead and manage multiple projects simultaneously, ensuring timely delivery and high quality
What You'll Do.
and optimize AI software and hardware that utilizes visual data to perform specific tasks or solve complex problems
advancing RPO (Rendezvous and Proximity Operations) capabilities and solutions for satellites
and implement advanced computer vision algorithms and models to process and analyze visual data
lead the integration and deployment of computer vision solutions into satellite systems
Conducting rigorous testing and validation of computer vision systems
develop and optimize sophisticated AI software and hardware for satellite applications
and refactoring existing computer vision systems and algorithms
and methodologies comprehensively
Mentoring and guiding junior and mid-level engineers
Staying abreast of the latest advancements in computer vision and machine learning technologies
participate in and lead code reviews
Collaborating with product managers and stakeholders to define project requirements
How You'll Work.
Team & Collaboration
collaborating with cross-functional teams to ensure seamless functionality; Mentoring and guiding junior and mid-level engineers; providing technical leadership and fostering knowledge sharing; participate in and lead code reviews, offering constructive feedback to peers and ensuring code quality; Collaborating with product managers and stakeholders; Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders; foster a vibrant culture of collaboration, where teamwork ignites breakthrough innovations
Communication Scope
Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders
Process & Methodology
Ability to lead and manage multiple projects simultaneously, ensuring timely delivery and high quality, define project requirements, deliverables, and timelines
Full Job Description
# **Sierra Space Careers:** At Sierra Space, we build the missions and systems that keep our world secure in the domain above Earth. Sierra Space team members share a spirit of innovation and collaboration and a belief that we can deliver on the boldest missions in space today. Together with our customers, we aim to safeguard our nation, sustain human presence in space, and secure the freedom of operations in low Earth orbit and beyond. Our success is measured by the trust of those who rely on what we build and deliver, and our technologies keep the United States and its allies mission-ready throughout space. We are mission-driven, and together, we are an extraordinary team. # **About the Role** A Computer Vision Engineer III leverages extensive programming and machine-learning expertise to design, architect, and optimize AI software and hardware that utilizes visual data to perform specific tasks or solve complex problems. This role is pivotal in advancing RPO (Rendezvous and Proximity Operations) capabilities and solutions for satellites, driving innovation and excellence in the field. In this role, you will design, architect, and implement advanced computer vision algorithms and models to process and analyze visual data. You will lead the integration and deployment of computer vision solutions into satellite systems, collaborating with cross-functional teams to ensure seamless functionality. Conducting rigorous testing and validation of computer vision systems will be a key responsibility, ensuring exceptional performance, accuracy, and reliability. You will develop and optimize sophisticated AI software and hardware for satellite applications, prioritizing scalability, robustness, and efficiency. Maintaining, enhancing, and refactoring existing computer vision systems and algorithms will be essential to improving performance and functionality. Additionally, you will document code, processes, and methodologies comprehensively for future reference and team collabo
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