9 months ago
Base Salary
$135k - $170k/yr
Responsibilities
- Design and implement the core state estimation and prediction architecture for autonomous spacecraft operations.
- Research and implement estimation and prediction algorithms from literature review through training, tuning, optimization, and deployment.
- Develop classical and neural estimators to track multiple dynamic targets and their trajectories in real time.
- Create neural models to forecast target trajectories and behavioral patterns.
- Implement intent-inference models to identify actions and dynamically rank threat levels.
- Integrate estimation and prediction models into mission simulation environments and autonomy decision systems.
- Collaborate with perception and onboard autonomy teams to improve prediction fidelity, robustness, and scalability across missions.
Requirements
- Bachelor’s or master’s degree in computer science, aerospace, robotics, applied mathematics, a related field, or equivalent experience.
- At least two years of relevant industry experience in state estimation, aerospace, robotics, or a related field.
- Strong proficiency in C++ and Python.
- Experience with probabilistic state estimation, including Kalman filters, particle filters, and Bayesian inference.
- Experience with PyTorch or TensorFlow for sequence modeling using seq2seq, RNNs, LSTMs, or Transformers.
- Familiarity with trajectory modeling, multi-body dynamics, or orbital mechanics.
- Preferred experience implementing state estimation pipelines in real-time or safety-critical systems.
- Preferred experience deploying sequence-to-sequence forecasting models in dynamic environments.
- Familiarity with radar, optical, and inertial sensor fusion.
- Proficiency with CUDA and TensorRT for neural network training and inference.
- Experience with Linux, Git, and CI/CD pipelines.
- Comfort with Docker and Kubernetes.
- Familiarity with real-time systems, multithreading, performance optimization, and networking and communication protocols for distributed autonomy systems.
- Must satisfy applicable ITAR eligibility or authorization requirements.
Benefits
- Meaningful equity incentives through the employee option pool.
- Flexible PTO with paid vacation, holidays, and sick leave.
- Comprehensive medical, dental, and vision coverage.
- 401(k) retirement plan with company match.
- Work location is Los Angeles or San Francisco.
Categories
ML EngineeringRobotics
About Lodestar
Mortgage closing costs are all we do. From statewide transfer taxes to granular township fees, we make sure you closing costs are right for every disclosure. With an independent database of service providers and government fees, LodeStar leverages technological and mortgage industry expertise to create products and partnerships that automate disclosure of closing costs. Above all else, LodeStar’s core values are providing clarity, community, and connectivity throughout the mortgage industry.