Shieldai
Staff Software Engineer, Autonomous Pilot Integration (R5208)
Washington, D.C.. Posted 5 months ago
The role
You will write new autonomy software for unmanned platforms, including mission behaviors, platform control, and multi-agent coordination. You will own the work from simulation through hardware and live field tests, and lead a small feature crew or sub-program.
What you will do
- Develop and integrate autonomy software onto unmanned platforms (air, maritime, space, or effects/expendables).
- Lead a small feature crew or sub-program through design, development and delivery.
- Act as the primary technical interface with the Autonomy Capabilities and Perception teams and external partners.
- Mentor mid-level engineers and formally onboard senior new hires.
- Drive design reviews, ICDs and post-mortems for your area.
- Own the build, configuration and validation process for mission-ready systems.
- Travel to test sites and support live mission operations, including safety checks and troubleshooting.
- Diagnose and resolve integration issues across autonomy stacks, payload computers and embedded systems.
- Own interface contracts with C2 providers and drive standards compliance (e.g., A-GRA, UCI, OMS).
- Interview candidates and help define the skills bar for open roles.
Required qualifications
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or similar, or equivalent practical experience.
- Typically 7 years of related experience with a Bachelor's degree; or 5 years with a Master's; or 4 years with a PhD; or equivalent work experience.
- Proficiency in C++, with experience on real-time or latency-sensitive systems.
- Proficiency in Linux-based development, embedded systems, shell scripting and system diagnostics.
- Familiarity with middleware, pub-sub or IPC frameworks (e.g., DDS, message buses).
- Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.
- Experience with autonomy simulation environments for testing and validation.
- Demonstrated experience leading a small technical team or owning a major capability from design through field delivery.
- Track record of mentoring engineers and growing technical talent.
- Experience authoring or negotiating interface contracts or ICDs.
- Strong problem-solving skills across the full stack.
- Excellent communication and teamwork skills in a multidisciplinary environment.
Nice to have
- Direct experience supporting unmanned systems or similar field test campaigns.
- Proficiency in Python for scripting, automation and analysis.
- Experience leading a feature crew, sub-program or small team in an unmanned systems context.
- Experience owning customer- or partner-facing technical relationships (autopilot vendors, C2 providers, government program offices).
- Track record of cross-team improvements in process, rigor, documentation or developer experience.
- Familiarity with autonomy stacks, motion planning or vehicle-control integration.
- Competence in vehicle electronics bring-up, payload computer integration or hardware-in-the-loop debugging.
- Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.
- Familiarity with platform control or autopilot stacks (e.g., PX4, ArduPilot).
- Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity.
Benefits
- Bonus for full-time regular employees.
- Equity for full-time regular employees.
- Benefits package for full-time regular employees.
- Temporary benefits package for temporary employees, applicable after 60 days of employment.
Before you apply
- All offers are contingent on a cleared background and possible reference check.
- Ability to obtain a SECRET clearance is required.
- Military fellows and part-time employees are not eligible for benefits.
About the company
Shield AI is a venture-backed defense-tech company that builds intelligent systems to protect service members and civilians. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.