Senior Staff Engineer, Autonomy Integration Lead (R6159)

• - Build and maintain stable Pilot integrated implementations, reference configurations, reusable test fixtures, and representative end-to-end examples.
• Partner with component teams as they add capabilities to the shared integration environment, maintain the integration baseline, and help resolve gaps in shared workflows, test harnesses, or extensibility.
• Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests that exercise behavior across autonomy components.
• Develop and maintain glue layer between mission autonomy software and platform software for easy integration and deployment of the stack.
• Investigate failures across system boundaries. Reproduce and instrument each problem, isolate the responsible layer, fix integration-owned defects, and give the owning team clear evidence when a component or infrastructure change is required.
• Support deployment of the integrated autonomy stack to representative hardware, including software configuration, telemetry, interface troubleshooting, and lab or field debugging.
• Work with the Flight Operations team to define test objectives, prepare integrated software and instrumentation, assess test readiness, support troubleshooting during test events, and analyze integration failures afterward.
• Write and maintain setup guides, reference configurations, troubleshooting runbooks, and executable examples. Contribute technical material to Pilot training.

Projects you might work on

• - Drive strategy and implementation diverse set of autonomy reference integrations to serve various representative missions.
• Develop workflows and tooling to enable seamless deployment of autonomy software on edge devices.
• Develop documentation to assist a user of the product to easily pull together custom autonomy integrations

Preferred qualifications

• - Bachelor's degree in Computer Science, Robotics, Artificial Intelligence, or equivalent practical experience.
• Demonstrated experience through professional work, internships, research, or substantial projects building, testing, and debugging nontrivial C++ software for perception, planning, robotics, autonomous systems, or a closely related algorithmic domain.
• Experience writing and debugging modern C++, including safe use of common concurrency patterns and the ability to diagnose issues such as data races, deadlocks, and lifetime errors.
• Working experience with Python for prototyping, analysis, automation, or testing.
• Strong software engineering fundamentals, including algorithms, data structures, testing, debugging, and maintainable software design.
• Practical experience developing and debugging software on Linux.
• Practical experience working with build / dependency management systems such as Conan or Nix.

Preferred qualifications

• - Master’s degree in AI. Computer Science, Robotics or similar.
• Breadth of experience across the autonomy stack (Perception, Localization and Planning).
• Experience with multi-agent autonomy
• Experience applying VLMs or VLAs to planning, reasoning, tool use, or autonomous decision-making.
• Experience delivering software for fielded, real-time, safety-critical, or resource-constrained autonomous systems.
• Experience with software-in-the-loop or hardware-in-the-loop simulation, performance profiling, or distributed systems.

#LE

Full-time regular employee offer package

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai https://shield.ai/.

Follow Shield AI on LinkedIn https://www.linkedin.com/company/shield-ai, X https://x.com/shieldaitech, Instagram https://www.instagram.com/shield_ai, and YouTube https://www.youtube.com/@Shield_AI.