5 hours ago
Base Salary
$190k - $222k/yr
Responsibilities
- Set the perception architecture for detection, tracking, classification, and sensor fusion.
- Develop ML models and training pipelines and deploy models to embedded devices.
- Fuse EO/IR and other sensor data for autonomous systems.
- Optimize real-time perception for embedded compute and latency constraints.
- Collaborate with robotics, controls, and hardware engineers to deliver system capabilities.
- Mentor perception engineers while contributing directly to implementation.
- Participate in field testing in San Francisco.
Requirements
- At least 5 years of experience building and shipping perception systems on physical hardware.
- Strong Python and production C++ skills with experience in computer vision, detection, and real-time tracking on live sensor data.
- Experience deploying ML models on-device with TensorRT, ONNX, or equivalent and optimizing for embedded compute and tight latency budgets.
- Experience building ML training pipelines through deployment and shipping systems tested against real-world targets.
- Background in perception, robotics, autonomy, aerospace, or defense systems; research-only or offline-only experience is not a fit.
- BS, MS, PhD, or equivalent experience in computer science, electrical engineering, robotics, or a related field.
- Helpful experience includes aerial target tracking, moving-camera compensation, thermal imagery, EO/IR or other sensor fusion, radar or RF perception, and small or long-range target detection.
Benefits
- Base salary of $190,000 to $222,000 annually.
- Visa sponsorship is not available.
- On-site role in San Francisco, California, including field testing.