6 days ago
Remote, GermanySenior
Responsibilities
- Design trajectory planning and decision-making algorithms for safe, smooth, and dynamically feasible motion in uncertain environments.
- Develop and validate vehicle-control and estimation algorithms for longitudinal and lateral dynamics.
- Implement mission-critical real-time C++ software for 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 tools to evaluate planner and controller performance.
- Define driving-quality and safety metrics, analyze field data, and implement planning and control safety mitigations.
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.
- Knowledge of optimization-based planning, search methods, optimal control, model predictive control, or probabilistic decision-making.
- Strong foundations in linear algebra, geometry, statistics and probability, and vehicle dynamics.
- Experience taking software features from design through real-world deployment.
- Ability to work from the Lindau am Bodensee office at least Tuesday through Thursday.
- Preferred experience deploying planning or control software on real vehicles, working with real-time and embedded systems or RTOS, and applying imitation learning, reinforcement learning, or learned cost functions to planning.
Benefits
- Competitive annual salary of EUR 82,000-115,000 depending on experience.
- Hybrid work model with three office days per week on Tuesday, Wednesday, and Thursday, and remote work for the remainder.
- Modern workspace near Lake Constance in the Alpine foothills.
- Supported daily lunch for in-office days and a stocked office refrigerator.
- Egym Wellpass membership.
- Opportunity to work at a young, venture-backed company on autonomous vehicle technology.
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.