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Autonomy Engineer III – Space Systems
| Company | Inversion Space |
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| Location | Culver City, CA, USA |
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| Salary | $120000 – $144000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- Bachelor’s degree in a technical field such as Aerospace Engineering, Robotics, Computer Science, or related discipline, or equivalent practical experience in a highly technical environment.
- Minimum 5 years of professional experience in autonomy, robotics software, aerospace software engineering, or an equivalent track record developing complex software systems across industries.
- Demonstrated expertise developing deterministic algorithms for autonomous operations and/or real-time planning.
- Strong proficiency in Linux-based distributed systems and programming in Python, C, or Rust.
- Familiarity with machine learning concepts, particularly deterministic techniques; exposure to CNNs, transformers, or other ML architectures is beneficial.
- Proven ability to operate effectively within safety-critical, complex system environments.
- Exceptional communication skills with a strong ability to communicate early and often, providing clarity in technical discussions and a commitment to fostering a respectful, inclusive, and compassionate team environment.
- Demonstrated proficiency in creating diagrams and delivering thoughtful presentations suitable for diverse audiences.
- Ability to produce professional documentation and effectively organize complex information for team-wide use.
Responsibilities
- Develop and deploy deterministic planning and control algorithms for spacecraft reentry and multi-vehicle coordination.
- Architect fault detection, command arbitration, and robust autonomous mode-switching systems.
- Integrate and test autonomy software within high-fidelity simulation environments (SITL, HITL).
- Implement comprehensive autonomous safety measures for all interactions: operator, integration teams, flight operations, and customers.
- Work collaboratively across diverse teams (flight software, systems engineering, hardware integration) to ensure seamless autonomy integration and team success.
- Debug and diagnose vehicle systems impacted by autonomy software, ensuring reliability and performance.
- Develop autonomy infrastructure to command, control, and monitor spacecraft systems.
Preferred Qualifications
- Experience with spacecraft, autonomous aircraft, or high-performance autonomous vehicles or machines.
- Familiarity with aerospace regulatory standards, compliance, and safety protocols.
- Exposure to concept design and design review practices.
- Experience in software-in-the-loop (SITL) and hardware-in-the-loop (HITL) testing and validation.
- Comfort in rapidly iterating new autonomy strategies and collaborating in a fast-paced, innovative team environment.
- Experience gained through industry, research, startups, community projects, maker spaces, or other non-traditional paths.
