1 year ago
Base Salary
$160k - $350k/yr
Responsibilities
- Develop advanced sensor algorithms for IMUs, radar, cameras, GPS, and other sensors.
- Integrate multi-sensor data to improve state-estimation accuracy and robustness.
- Design and implement real-time sensor-data processing pipelines.
- Collaborate with software, autonomy research, and hardware engineering teams on algorithm integration.
- Conduct experiments and field tests to validate state-estimation performance.
- Apply advances in sensor technologies and state estimation to autonomous aircraft systems.
Requirements
- Typically requires 5 years of related experience with a bachelor’s degree, 4 years with a master’s degree, 2 years with a PhD, or equivalent work experience.
- Experience developing and deploying real-time sensor-processing algorithms involving cameras, radar, IMUs, GPS, or similar sensors.
- Understanding of state-estimation techniques, including Kalman filters and particle filters.
- Experience with C++ 11 or newer and Linux command-line tools.
- Ability to collaborate effectively with multidisciplinary teams and external stakeholders.
- Demonstrated record of shipping products and delivering high-quality solutions through development cycles.
- Preferred experience implementing inertial-navigation algorithms on real-time processing systems.
- Preferred knowledge of computer-vision techniques and optimizing algorithms for compute-constrained systems.
- Preferred experience with CUDA or other hardware-acceleration technologies such as FPGAs.
- Preferred record of transitioning R&D work to production.
- Ability to obtain an S//SAR-level security clearance is desired.
Benefits
- Full-time employees receive pay within the listed range, bonus, benefits, and equity.
- Temporary employees receive pay within the listed range and a temporary benefits package applicable after 60 days of employment.
- Offers are contingent on a cleared background and possible reference check.
- The company provides equal employment opportunity and accommodation support for disabilities or special needs.
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.