Software Engineer: On-board Autonomy

• Design and implement on-board decision-making models that recommend and adapt strategies in real time
• Develop autonomous decision algorithms that integrate information from perception, state estimation, and intent prediction models to execute mission objectives
• Research and implement ML models for decision making - everything from lit. review, through training, to deployment
• Implement decision models that adapt dynamically to changing mission context, environmental conditions, and system status
• Develop frameworks for continuous re-evaluation of active strategies to ensure resilient and adaptive behavior under uncertainty
• Support real-time autonomy in communications-limited or time-critical scenarios
• Build and maintain autonomy infrastructure, testing frameworks, and deployment pipelines for space missions

Do you have a Master’s degree?, * Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, a related field, or equivalent experience

• 2+ years of distinguished industry experience in autonomy, decision-making, or control systems for aerospace/robotics
• Strong proficiency in C++ and Python and DL frameworks (PyTorch, TensorFlow)
• Demonstrated experience with machine learning applied to decision-making or control problems
• Track record with optimal control, planning, or reinforcement learning in real-time systems
• Familiarity with multi-agent decision-making or planning under uncertainty, * Track record implementing autonomy applications in real-time or safety-critical environments
• Experience integrating perception and prediction outputs into decision frameworks
• Familiarity with resource-aware strategy selection and optimization under uncertainty
• Background in reinforcement learning, hierarchical planning, or adaptive control
• Experience with distributed training and cloud-based scaling of ML models (AWS, GCP, or Azure)
• Experience with Linux, Git, and CI/CD pipelines
• Comfortable with containerization tools such as Docker and Kubernetes
• Familiarity with real-time systems, multi-threading, and performance optimization
• Strong understanding of distributed autonomy, networking, and communication protocols

Pulled from the full job description

• 401(k)
• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance
• Stock options, * Pay Range:
• (E1) Junior Software Engineer: $120,000 - $145,000 / year
• (E2) Software Engineer: $140,000 - $180,000 / year
• (E3) Senior Software Engineer: Competitive
• Meaningful equity incentives as part of our employee option pool
• Flexible PTO with generous paid vacation, holidays, and sick leave
• Comprehensive medical, dental & vision coverage
• 401(k) retirement plan with company match
• LA, Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options , and access to medical, vision and dental coverage, as well as access to a 401(k) retirement plan.