8 months ago
Base Salary
$140k - $180k/yr
Responsibilities
- 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.
- Research and implement machine learning models for decision making from literature review to deployment.
- Implement decision models that adapt dynamically to changing mission context and environmental conditions.
- Develop frameworks for continuous re-evaluation of active strategies to ensure resilient 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.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, or a related field.
- 2+ years of experience in autonomy, decision-making, or control systems for aerospace or robotics.
- Strong proficiency in C++ and Python, as well as deep learning frameworks like PyTorch and 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.
Benefits
- Meaningful equity incentives as part of the employee option pool.
- Flexible PTO with generous paid vacation, holidays, and sick leave.
- Comprehensive medical, dental, and vision coverage.
- 401(k) retirement plan with company match.