5 hours ago
Base Salary
$230k - $350k/yr
Responsibilities
- Build and maintain Pilot integrated implementations, reference configurations, reusable test fixtures, and end-to-end examples.
- Partner with component teams to maintain the integration baseline and resolve shared workflow, test harness, and extensibility gaps.
- Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests across autonomy components.
- Maintain the integration layer between mission autonomy software and platform software for deployment.
- Investigate, reproduce, instrument, and resolve failures across system boundaries, providing evidence to owning teams when needed.
- Deploy integrated autonomy software to representative hardware and troubleshoot configuration, telemetry, interfaces, and lab or field issues.
- Work with Flight Operations on test objectives, instrumentation, readiness, test-event troubleshooting, and post-test failure analysis.
- Create setup guides, reference configurations, troubleshooting runbooks, executable examples, and Pilot training materials.
- Drive autonomy reference-integration strategy and develop workflows and tooling for deployment to edge devices.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Artificial Intelligence, or equivalent practical experience.
- Demonstrated experience from professional work, internships, research, or substantial projects building, testing, and debugging nontrivial C++ software for perception, planning, robotics, autonomous systems, or a related algorithmic domain.
- Experience with modern C++, concurrency patterns, and diagnosing data races, deadlocks, and lifetime errors.
- Working experience with Python for prototyping, analysis, automation, or testing.
- Strong fundamentals in algorithms, data structures, testing, debugging, and maintainable software design.
- Practical experience developing and debugging software on Linux.
- Practical experience with build or dependency management systems such as Conan or Nix.
- Preferred: master’s degree in AI, Computer Science, Robotics, or a similar field.
- Preferred: breadth across perception, localization, and planning; multi-agent autonomy experience; or experience applying VLMs or VLAs to planning, reasoning, tool use, or autonomous decision-making.
- Preferred: experience delivering software for fielded, real-time, safety-critical, or resource-constrained autonomous systems, or with simulation, performance profiling, or distributed systems.
Benefits
- Full-time regular 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.
- Military fellows and part-time employees are not eligible for benefits.
- The company provides equal employment opportunity and disability accommodations.
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.