Startup of 10+ engineers building next-stage real-time vision and sensing systems for defense and autonomy. Profitable and customer funded with no outside investment. Their platforms span digital terrain mapping, classical computer vision, and high performance signal processing, with hardware already deployed in the field.
What You’ll Be Doing
- Designing and implementing low-latency vision pipelines in C++ for mission-critical defense applications (e.g., region-of-interest tracking, camera calibration, sensor fusion).
- Collaborating closely with hardware teams to integrate cameras, IMUs, and other sensors on embedded platforms—pushing algorithms from prototype to production.
- Conducting field-testing (flight tests, desert range tuning) to validate and optimize real-world performance.
- Working on digital terrain modeling, object-tracking algorithms (drone-to-drone intercept, remote weapons platforms), and AR/display research.
- Writing reusable, well-documented code that ensures reliability under harsh conditions and tight real-time constraints.
- 3+ years of professional experience developing C++ systems (preferably on Linux).
- Strong background in classical computer vision or signal processing (Kalman filters, ROI tracking, camera calibration, etc.).
- Comfortable working hands-on with sensors, cameras, and embedded hardware.
- Interest in field testing and tuning algorithms in live environments.
- U.S. Citizen or Green Card holder (required for defense-related work).
- CUDA/OpenCL experience or other GPU-accelerated development.
- Prior work on SLAM or visual-inertial odometry for airborne or ground-robot platforms.
- Experience architecting software for long-range tracking (drones, aircraft, missiles).
- Familiarity with ROS, RTOS, or other robotics middleware.
