9 months ago
Base Salary
$140k - $180k/yr
Responsibilities
- Scope the architecture for the perception system supporting the autonomy software suite
- Research, adapt, train, evaluate, optimize, and deploy perception algorithms
- Design machine learning algorithms and optimize existing models for edge computing
- Develop methods for predicting the relative pose of dynamic space targets in challenging visual environments
- Integrate perception models into mission simulations and real-time autonomy pipelines
- Design realistic sensor models and digital twins to improve perception fidelity
- Own perception tooling, model-training infrastructure, and evaluation frameworks
- Collaborate with autonomy, estimation, and mission software teams on perception fidelity, performance, and scalability
Requirements
- Bachelor’s or master’s degree in AI/ML, computer science, robotics, a related field, or equivalent experience
- At least 2 years of industry experience in machine learning, robotics, computer vision, or a related field
- Excellent software engineering skills in C++ and Python
- Strong deep neural network and machine learning experience with OpenCV, CUDA-accelerated vision, and PCL
- Understanding of modern perception systems and their architecture
- Experience developing and deploying machine learning models to real-time systems
- Experience with RADAR, electro-optical sensors, RF sensors, or LIDAR is preferred
- Experience with feature extraction, segmentation, filtering, stereo matching, 3D reconstruction, and target classification is preferred
- Experience optimizing neural networks and geometric algorithms with CUDA kernels, TensorRT, or other GPU acceleration frameworks is preferred
- Experience with distributed training and AWS, GCP, or Azure is preferred
- Experience with Linux, Git, CI/CD pipelines, Docker, and Kubernetes is preferred
- Understanding of networking and communication protocols for distributed autonomy systems
- Must meet applicable ITAR eligibility requirements or be eligible to obtain required U.S. Department of State authorizations
Benefits
- Meaningful equity incentives through the employee option pool
- Flexible PTO, including paid vacation, holidays, and sick leave
- Comprehensive medical, dental, and vision coverage
- 401(k) retirement plan with company match
- Position is based in Los Angeles or San Francisco
Tech Stack
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.