6 hours ago
Base Salary
$190k - $222k/yr
Responsibilities
- Design perception architecture for detection, tracking, classification, and sensor fusion.
- Develop computer vision models and end-to-end training pipelines and deploy them on-device.
- Fuse EO/IR and other sensor data across the perception stack.
- Optimize real-time performance for embedded hardware and latency constraints.
- Collaborate with robotics, controls, and hardware engineers on practical system design.
- Mentor perception engineers while contributing hands-on technical work.
Requirements
- At least 5 years of experience building and shipping perception systems on real hardware.
- Strong Python and C++ skills and experience developing production machine learning models and training-to-deployment pipelines.
- Hands-on experience with real-time computer vision detection and tracking from live sensor data and ownership of perception models or tracking systems.
- Experience deploying models on-device with TensorRT, ONNX, or an equivalent technology and optimizing for embedded compute and latency.
- Relevant experience in defense, autonomy, robotics, or aerospace with systems that perform in real-world conditions.
- A degree in computer science, electrical engineering, robotics, or a related field, or equivalent practical experience.
- Experience with aerial target tracking, moving-camera compensation, EO/IR or other sensor fusion, thermal imagery, radar or RF perception, classified programs, or mentoring is valuable.
Benefits
- Base salary is $190,000 to $222,000 USD annually.
- The role is on-site in San Francisco, California.
- Visa sponsorship is not available.
Categories
ML EngineeringRobotics
