Staff Engineer, Core Platform Integration (R5411)

Build the foundation for the next generation of autonomous systems. In this role, you’ll develop and integrate the core software and platform infrastructure that powers mission-critical technology, working across teams to deliver reliable, scalable solutions from development through deployment., * Own platform integration across SIL, HIL, VIL, and edge deployment workflows, ensuring components work together reliably and are easy for developers to use.

• Build and maintain reference work spaces, platform reference implementations, and tooling that accelerate development, testing, deployment, and validation.
• Integrate platform-level software across hardware, sensors, controllers, APIs, configuration, orchestration, and fleet/device management systems.
• Support embedded platform bring-up and hardware diversification across developer boards, iron birds, aircraft/vehicle test platforms, and other reference hardware.
• Improve platform stability, API quality, developer experience, and system scalability for mission-critical product and customer commitments.
• Partner with autonomy, hardware, product, and program teams to identify integration gaps and deliver durable solutions.

• 5+ years experience with strong software engineering experience in robotics, autonomy, embedded systems, distributed systems, or similarly complex platforms.
• Strong experience with C++ and Python and experience building developer tools, configuration systems, orchestration frameworks, or automation.
• Experience integrating and debugging software across Linux-based systems, hardware interfaces, deployment environments, and APIs, including use of measurement or diagnostic tools such as oscilloscopes, logic analyzers, or protocol analyzers to debug embedded communication interfaces.
• B.S. or Master’s degree in Engineering, Computer Science, or related field
• Ability to work independently in ambiguous technical areas and drive cross-functional integration efforts to completion.
• Strong communication and collaboration skills, * Experience with SIL, HIL, and VIL workflows for autonomy, robotics, aerospace, automotive, or defense systems.
• Experience with embedded Linux, BSP development, build systems, device trees, bootloaders, or hardware bring-up.
• Experience with edge deployment, device discovery, fleet management, OTA workflows, or application deployment to remote devices.
• Experience with platforms such as Jetson, Qualcomm, i.MX8, or similar embedded compute hardware.
• Experience integrating sensor drivers, controller interfaces, vehicle interfaces, hardware abstraction layers, or reference test platforms.

$190,000 - $290,000 a year #LI-DM2 #LD 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. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.