12 months ago
Base Salary
$150k - $350k/yr
Responsibilities
- Develop real-time state estimation algorithms for inertial navigation, sensor fusion, and GPS-denied or degraded environments.
- Integrate IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks.
- Design sensor processing pipelines focused on accuracy, robustness, and fault tolerance.
- Collaborate with autonomy, software, and hardware teams on navigation and PNT system integration.
- Evaluate algorithm performance through simulation, laboratory testing, and field trials.
- Adapt advances in state estimation and navigation research into deployable solutions.
Requirements
- A minimum of 3 years of relevant experience with a bachelor’s degree, 2 years with a master’s degree, 1 year with a PhD, or equivalent practical experience.
- Familiarity with algorithms.
- Proficiency in C++11 or newer in real-time environments.
- Comfort working in Linux with standard command-line tools and scripting.
- Strong written and verbal communication skills and a collaborative mindset.
- Demonstrated ability to work in fast-paced development cycles and deliver high-quality results.
- Preferred: experience with real-time navigation or sensor fusion using IMUs, GPS, or other sensors; filtering and estimation techniques such as Kalman filters, EKF, UKF, and particle filters; inertial navigation in degraded or GPS-denied conditions; visual odometry or computer-vision navigation; performance optimization on compute-constrained platforms; CUDA or FPGA acceleration; and transitioning navigation solutions from research into production.
Benefits
- Full-time employees receive pay within the listed range plus bonus, benefits, and equity.
- Temporary employees receive pay within the listed range plus 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 reasonable accommodation 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.