About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Defense & Space Manufacturing, Space Research & Technology, Robotics Engineering.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

• Design, implement and test state estimation and sensor-fusion algorithms for autonomy systems.
• Build and validate Kalman filters (EKF/UKF), particle filters, and probabilistic models for tracking and trajectory prediction.
• Implement tracking and trajectory-prediction pipelines for dynamic/space environments.
• Translate research and prototypes into robust C++ and Python implementations with automated tests.
• Work on dynamics and orbital mechanics problems relevant to mission scenarios.
• Collaborate in a small, cross-functional autonomy team; take ownership of features from design through verification and flight/field test.

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Minimum Qualifications

• Bachelor’s degree in Computer Science, Aerospace Engineering, Robotics, Applied Mathematics, or a closely related technical field.
• Strong programming skills in C++ and Python.
• Knowledge or hands-on experience in state estimation, sensor fusion, Kalman filters (EKF/UKF) or particle filters — academic projects, internships or research are acceptable.
• Familiarity with tracking, trajectory prediction, or probabilistic modeling.
• Strong problem-solving skills and ability to communicate results to engineering teammates.

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Preferred / Nice-to-Have

• Master’s or PhD, or strong research/thesis experience in estimation, autonomy, GNC, robotics, or applied math.
• Experience with orbital mechanics, dynamics, or space systems (CubeSats, missions) is highly relevant.
• Prior work with autonomy stacks, real-time systems, or embedded toolchains.
• Publications, open-source contributions, or demonstrable project work in estimation/autonomy.
• Experience with testing frameworks, simulation toolchains, and CI/CD for algorithm development.

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Location & Work Authorization

• Location: Los Angeles, CA (on-site / hybrid as required by the confidential client).
• Must be legally authorized to work in the United States. If you require visa sponsorship, please disclose this upfront in your application.

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About the Team

You’ll join a small, technically focused autonomy team at a Confidential Client operating in defense & space and robotics engineering. The team tackles hard autonomy problems with high ownership, rapid iteration, and opportunities to move code from research to flight/field tests early in your career.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.