Staff Software Engineer, Motion Planning
External
Kodiak · San FranciscoPrepare for this interview
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Requirements
- 6+ years of experience developing production-level robotics software
- Strong facility with modern C++
- Expertise in motion planning, trajectory optimization, graph theory, and related domains
- Delivery of complex autonomous systems
- Leadership through ambiguous, unsolved challenges
- Bonus points if you have:
- Experience deploying software on driverless autonomous vehicles
- Experience improving system performance (latency, throughput, reliability) in production environments
- Familiarity with simulation frameworks and data-driven development workflows
- A track record of mentoring engineers
Benefits
Additional Information
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak is recruiting a Staff Software Engineer to join our Planning team and advance the Kodiak Driver's ability to safely and gracefully handle complex real-world driving scenarios. In this role, you will: Design and develop motion planning and prediction systems for driverless operation on public roads Develop the architecture and long-term roadmap for planning and prediction Mentor and provide technical leadership to junior and senior engineers, raising the bar for engineering excellence across the engineering organization Integrate engineered driving logic and machine-learning models Develop robust models to predict the behavior of other actors, improving both safety and driving performance Partner cross-functionally with Perception, Controls, Systems, and Simulation teams to define interfaces, requirements, and system behavior Solve difficult real-world problems involving lane changing, merging, speed modulation, mission updates, multi-trajectory prediction, and more!
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