Anduril
Computer Vision Engineer, Space
$167K–$222K
Costa Mesa, California, United States +2 · Full-time · Posted Jan 6, 2026
- Location
- Costa Mesa, California, United States
Reston, Virginia, United States
Washington, District of Columbia, United States - Experience
- Advanced professional experience; no number of years specified.
- Education
- MS or PhD in Machine Learning, Robotics or Computer Science, or Image Science with emphasis on Computer Vision; BS in Computer Science, Machine Learning, Electrical Engineering, or related field.
About the job
Develop computer vision, perception, and autonomy software and hardware for spacecraft, including design, integration, testing, validation, and on-orbit operations.
What you'll do
- Prototype computer vision solutions and develop core libraries, runtime applications, algorithms, and simulation tools.
- Integrate classical and geometric computer vision methods with machine learning for spacecraft missions.
- Plan and execute subsystem testing, validation, and operations, collaborating across engineering teams and mission partners.
What they ask for
- MS or PhD in Machine Learning, Robotics or Computer Science, or Image Science with emphasis on Computer Vision; BS in Computer Science, Machine Learning, Electrical Engineering, or a related field.
- Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets.
- High proficiency in C++ development in a Linux environment and experience in at least one listed computer vision or perception area.
- Currently possesses and is able to maintain an active U.S. Top Secret security clearance.
Nice to have
- Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems.
- Experience testing computer vision subsystems in laboratory environments that mimic space environmental constraints.
Pay
$167,000 — $222,000 USD (base salary)
Tools
C++, Linux, Matlab, Simulink, Python, Go, Open CV
AI focus
Develop and integrate machine learning and computer vision methods for spacecraft perception, navigation, autonomy, and operations.
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