14 days ago
Remote, United States or Berkeley, CA, USASenior
Base Salary
$160k - $200k/yr
Responsibilities
- Design trajectory planning and decision-making algorithms for safe, smooth, and dynamically feasible motion in uncertain environments.
- Develop longitudinal and lateral vehicle control and estimation algorithms.
- Implement mission-critical real-time C++ software for on-vehicle and embedded automotive systems.
- Define interfaces between perception, planning, control, and software platform components.
- 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 improve the system based on results.
- Contribute to failure and hazard analyses and implement safety mitigations in planning and control software.
Requirements
- At least 3 years of software engineering experience.
- Production-quality coding skills in 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.
- A solid foundation in linear algebra, geometry, statistics, probability, and vehicle dynamics.
- Experience taking features from design through real-world deployment rather than only building prototypes.
- Ability to work from the Berkeley, California office at least Tuesday through Thursday.
- Preferred experience deploying planning or control software on real vehicles, including AVs or ADAS features such as ACC, AEB, lane keeping, or lane changing.
- Preferred experience with real-time and embedded systems and RTOS.
- Preferred experience with ML-based planning approaches such as imitation learning, reinforcement learning, or learned cost functions.
Benefits
- Competitive salary and performance-based bonus.
- Medical, dental, and vision insurance.
- Flexible paid time off and equity.
- Daily catered lunch and a stocked fridge at the Berkeley office.
- Hybrid work arrangement requiring office work in Berkeley at least Tuesday through Thursday.
- Opportunity to work at a young, venture-backed company on an emerging autonomy 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.