Autonomous Driving Technical Lead

In this Lead role, you drive the development and integration of a Level 4 autonomous driving software stack within a partner’s development ecosystem. You shape technical decisions, review architecture and interfaces, and guide risk-driven solutions that are production-ready and safety-critical. You’ll prototype approaches, verify performance, and lead design and code reviews to ensure robust, scalable software across perception, localization, and planning. This is a hands-on position influencing end-to-end delivery and on-site vehicle testing in Switzerland.

• Analyze cross-functional issues in the autonomous driving stack using code, logs, sensor data, and simulations to identify problems across algorithmic, software, and hardware domains.
• Develop evaluation criteria and evidence-based solution options considering feasibility, risks, and system impact.
• Create prototypes to validate approaches before implementation and verification.
• Provide technical direction by translating objectives into actionable engineering tasks.
• Review architecture, algorithms, interfaces, and development outcomes for robustness and production readiness.
• Identify risks, dependencies, and blockers early to enable sustainable resolution.
• Lead design reviews, code reviews, architecture discussions, and structured troubleshooting sessions.

• In-depth knowledge of autonomous driving systems and integration across perception, localization, sensor fusion, prediction, behavior and motion planning, and vehicle interfaces.
• Experience with advanced techniques: point-cloud processing, object detection/tracking, multi-modal fusion, SLAM, HD mapping, scene understanding, trajectory optimization, and ML methods including transformers and occupancy networks.
• Ability to evaluate new AI technologies for safety, integration, and performance implications.
• Experience with end-to-end software lifecycle, production-grade code, and integration into autonomous driving systems.
• Ability to design test scenarios, acceptance criteria, and validation methodologies across simulated and real environments.
• Strong communication and collaboration skills; willingness for periodic on-site travel.

• Collaborative problem-solving
• Structured, analytical thinking
• Clear technical communication
• C/C++
• Autonomous driving stack knowledge
• Perception, localization, sensor fusion, planning