Technical Lead of Software Autonomy (m/f/d)

As the Technical Lead of Autonomy SW – Land Domain , you will shape the next generation of autonomous ground systems by bringing state-of-the-art AI and robotics research into production.

You will define the technical direction and lead the design and implementation of our autonomy stack, spanning both classical modular architectures and modern end-to-end learning approaches.

Working hands-on with a team of exceptional engineers, you will transform cutting-edge autonomy research into robust, production-ready capabilities that enable autonomous systems—from unmanned ground vehicles (UGVs) to autonomous trucks—to operate safely, reliably, and at scale across complex environments, including GNSS-denied areas, challenging off-road terrain, structured on-road networks, and coordinated multi-vehicle missions.

You will work closely with Product Management and experts across software, hardware, AI, and mission systems to identify the right combination of sensors, algorithms, and system architectures for each challenge.

As a technical leader, you will shape the engineering direction of autonomy within the Land Domain, foster engineering excellence, and help establish Quantum Systems as a leader in next-generation autonomous systems.

What is your Day to Day Mission: Lead the creation of the next generation of autonomous systems, translating advances in AI and robotics into production-ready capabilities Drive collaboration of multi-disciplinary engineering teams across perception, control, estimation, and simulation, taking ultimate accountability for domain deliverables and field readiness.

Proactively enable engineering teams by identifying and securing necessary hardware, sensors, compute platforms, synthetic data environments, and real-world testing infrastructure before bottlenecks occur.

Ensure high-level ML models (learned planners, world models) run safely, reliably, and deterministically under real-time edge constraints. Drive cross-domain alignment with Hardware, Pla