Join the First Professional Autonomous Racing Franchise-Now Driving Defense Innovation
Are you ready to build the future of trusted autonomy? Code19 Racing, the world's first professional autonomous racing team, is seeking a Lead Full Stack Developer to drive the productization and scaling of Maveric AI-
Born from battlefield experience and pressure-tested at 180+ mph, MavAI ingests real-time data and providing live decision support in high stress environments. -what's happening, why it matters, and what's next. It's built to shift operators from micromanaging autonomy to teaming with it. Now we're bringing that same capability to contested edge environments-across drones, uncrewed ground vehicles, and naval platforms.
This is your chance to lead the team building the real-time infrastructure, backend systems, and voice interface powering MavAI at the edge.
If you're a full stack leader passionate about high-impact applications, conversational interfaces, and pushing tech from lab to field, this is your shot to define the future of human-machine teaming.
Key Responsibilities
- Build and scale cloud-to-edge infrastructure for agentic AI across defense and motorsports applications.
- Lead integration of live telemetry, video, sensor data, and autonomy stack outputs into the voice agent platform.
- Manage full stack development from backend architecture to frontend HMI
- Collaborate with AI, autonomy, and mission engineering teams to deliver real-time, explainable agentic behavior.
- Optimize performance for edge environments with limited compute and intermittent connectivity.
- Recruit and mentor a high-performing product engineering team for dual-use deployment.
- Participate in defense pilots, field testing, and high-speed race events-where MavAI gets battle-hardened.
Minimum Qualifications
- 5+ years of experience in full stack development with emphasis on real-time systems and data-driven interfaces. Years of experience not a blocker.
- Deep proficiency with live data ingest and front-end frameworks
- Understanding of edge computing, cloud infrastructure (AWS/GCP), and scalable APIs
- Proven ability to ship product, and scale mission-critical systems
- Comfort working in low-trust, high-speed, or mission-driven environments
Preferred Experience
- Familiarity with autonomy stack integration, sensor fusion, or robotics systems
- Knowledge of LLM-powered agents, voice UX, or explainable AI interfaces
- Experience in defense tech, dual-use startups, or mission-critical deployments
- Bonus: Passion for racing, drones, or systems that move fast and matter
What We Offer
- Ground-floor equity in a venture-backed startup redefining AI at the edge
- Access to global deployments-across motorsport events, military pilots, and tech summits
- A once-in-a-lifetime chance to build the AI product everyone's been talking about but no one's built right
- An elite, no-BS team of veterans, engineers, and AI leaders focused on winning-on the track and the battlefield