9 hours ago
Base Salary
$190k - $222k/yr
Responsibilities
- Own perception architecture for detection, tracking, classification, and sensor fusion.
- Develop ML models and training pipelines and deploy them on embedded devices.
- Fuse EO/IR and other sensor data across the targeting system.
- Optimize perception software for real-time performance on embedded hardware and tight latency budgets.
- Partner with robotics, controls, and hardware engineers to align perception capabilities with system constraints.
- Mentor perception engineers as the team grows.
Requirements
- At least 5 years of experience building and shipping perception systems on physical hardware.
- Production ML engineering experience using Python and C++, including model development, training pipelines, and deployment.
- Hands-on experience building real-time computer vision detection and tracking from live sensor data and shipping systems for real-world targets.
- Experience deploying models on-device with TensorRT, ONNX, or equivalent technologies and optimizing for embedded compute and latency constraints.
- Recent background in computer vision, perception, robotics software, or related machine learning for physical systems.
- Experience with multi-sensor fusion, EO/IR or thermal imagery, moving-camera compensation, or small and long-range targets is valuable.
- Experience with counter-UAS, aerial tracking, radar or RF perception, classified programs, or adversarial and denied environments is relevant.
Benefits
- Base salary of $190,000 to $222,000 annually.
- On-site in San Francisco, California, five days per week, with range days.
- Visa sponsorship is not available.
Categories
ML EngineeringRobotics