3 days ago
Base Salary
$190k - $222k/yr
Responsibilities
- Own perception architecture across detection, tracking, classification, and sensor fusion.
- Build ML models and training pipelines through deployment to embedded hardware.
- Develop real-time perception using live sensor data, including moving-target tracking and ego-motion compensation.
- Fuse EO/IR and other sensor data across the perception system.
- Optimize perception models and software for embedded compute and strict latency budgets.
- Partner with robotics, controls, and hardware engineers to deliver reliable field performance.
- Mentor perception engineers while contributing directly to implementation.
Requirements
- At least 5 years of experience building and shipping perception systems on physical hardware.
- Strong Python and production C++ skills, with experience in ML engineering and computer vision.
- Hands-on experience deploying ML models with TensorRT, ONNX, or equivalent and optimizing them for embedded compute.
- Experience developing ML training pipelines through deployment and delivering systems against real-world targets.
- Background in robotics, autonomy, aerospace, or defense perception.
- Experience with aerial targets, thermal imagery, radar, or multi-sensor fusion is helpful.
- BS, MS, PhD, or equivalent experience in computer science, electrical engineering, robotics, or a related field.
Benefits
- On-site role in San Francisco, California, United States.
Categories
ML EngineeringRobotics