Senior Space Autonomy Software Engineer – Remote

Trusted Space, Inc.; United States; Remote; USD 135,000 - 225,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Life Insurance

401(k)

Paid time off

Disability Insurance

Work-life balance

Job summary

Trusted Space is seeking a Senior Mission Autonomy Software Engineer to build and integrate autonomy algorithms for space systems. You will own transitions from R&D to production, develop Python/Rust software, and collaborate with researchers to scale capabilities for mission use.

Role involves performance tuning, safety checks, and cross‑functional teamwork in a remote setting with occasional travel. This is a full-time position in a cutting-edge space autonomy program.

Qualifications

• U.S. citizenship required.
• Bachelor’s degree in computer science, engineering, mathematics, physics, or a related field with 5+ years of professional software engineering, or 9+ years of experience in lieu of a degree.
• Strong Python software development skills for production‑quality code.
• Ability to understand and implement complex algorithms and tune performance.
• Experience delivering algorithms from prototyping to production.
• Experience with simulation, automated testing, performance evaluation, and debugging.
• Ability to work independently on ambiguous problems and in cross‑functional teams.
• Strong communication and collaboration skills.
• Ability to work in cross‑functional Agile teams.

Responsibilities

• Own the transition of autonomy capabilities from R&D prototypes to operational software, including implementation, integration, tuning, validation, and readiness for mission use.
• Develop robust, maintainable Python/Rust software for autonomy, planning, decision-making, optimization, and control capabilities within a larger mission software stack.
• Serve as a technical owner for autonomy performance in the integrated system, understanding algorithm behavior deeply enough to tune parameters, diagnose unexpected behavior, and drive performance and reliability issues to resolution.
• Integrate autonomy capabilities with mission software, simulations, external services, and system interfaces, troubleshooting issues across algorithms, software components, interfaces, and data flows.
• Define and drive the testing and evaluation approach for autonomy capabilities, including simulation scenarios, automated testing, performance metrics, acceptance criteria, and evaluation tooling across nominal, off-nominal, and edge-case conditions.
• Train, evaluate, and tune reinforcement learning policies and other autonomy algorithms using established methods and architectures, including developing the workflows needed to analyze, compare, and improve training outcomes.
• Partner closely with autonomy researchers and subject-matter experts to understand algorithm design, assumptions, reward structures, and failure modes, and make sound implementation and productization decisions as capabilities transition into production.
• Own key aspects of the autonomy capability lifecycle, including software architecture, end-to-end system integration, mission demonstrations, and technical documentation, ensuring capabilities can be reliably deployed, maintained, and extended across missions.

Job description

Trusted Space is seeking a Senior Mission Autonomy Software Engineer to build and integrate autonomy algorithms for space systems. You will own transitions from R&D to production, develop Python/Rust software, and collaborate with researchers to scale capabilities for mission use.

Role involves performance tuning, safety checks, and cross‑functional teamwork in a remote setting with occasional travel. This is a full-time position in a cutting-edge space autonomy program.