2 days ago
Paris, FranceMid Level
Responsibilities
- Design trajectory-planning and decision-making algorithms for safe, smooth, and dynamically feasible autonomous-vehicle motion.
- Develop and validate longitudinal and lateral vehicle-control and estimation algorithms.
- Implement mission-critical real-time C++ software for on-vehicle embedded automotive compute.
- Define interfaces between perception, planning, control, and platform software.
- Support vehicle driving-function demonstrations from bring-up through customer-facing runs.
- Build Python and C++ simulation and analysis tooling to evaluate planner and controller performance.
- Define driving-quality and safety metrics, analyze field data, and implement safety mitigations based on failure and hazard analyses.
Requirements
- At least 3 years of software engineering experience with production-quality modern C++ and Python.
- Hands-on experience with motion planning, decision-making, or vehicle controls in autonomous vehicles, ADAS, or robotic systems.
- Strong foundations in linear algebra, geometry, statistics, probability, and vehicle dynamics.
- Experience taking software features from design through real-world deployment rather than only prototyping.
- Ability to work from the Paris office at least Monday, Tuesday, and Thursday.
- Experience deploying planning or control software on real vehicles is a bonus.
- Experience with real-time and embedded systems or RTOS is a bonus.
- Experience with ML-based planning, including imitation learning, reinforcement learning, or learned cost functions, is a bonus.
Benefits
- Competitive annual salary of EUR 75,000-90,000 depending on experience.
- Hybrid work model with three office days per week on Monday, Tuesday, and Thursday, and the remaining days worked remotely.
- Modern office in central Paris.
- Partial reimbursement for public transportation where applicable.
- Subsidized meal vouchers.
- Wellness Pass, formerly Gymlib.
About Zendar
Zendar builds high-resolution radar and AI-enabled perception software for autonomous systems, enabling accurate object detection and mapping in challenging conditions. It offers a radar-centric autonomy stack, sensor-fusion algorithms, and an evaluation kit/SDK used by vehicle and robotics developers to integrate and evaluate its technology. Privately held and founded in 2017, the company is headquartered in Berkeley, California.