Staff Software Engineer, Learned & Hybrid Behavior Planning

Highlights

• Shape how learned models integrate into behavior planning for driverless trucking.
• Balance learned components with heuristic planning for safe, deployable autonomy.
• Power vehicle-agnostic Kodiak Driver operating driverless in long-haul trucking.

What they offer

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans
• Flexible PTO, 10 paid holidays and generous parental leave
• Dog-friendly Mountain View office with free catered lunch and EV charging
• 401(k), disability and life insurance, wellbeing benefits
• Commuter, FSA, HSA benefits and incentive programs

Ideal candidate

A planning-minded roboticist excited by ML who thrives at the intersection of research and production. You care about safe, measurable autonomy and enjoy leading technically while mentoring across teams.

Requirements

• Strong experience in autonomous vehicles, robotics, or related autonomy domain
• Deep background in behavior planning, decision-making, or motion planning
• Strong software engineering skills with proficiency in C++
• Experience with heuristic or classical planning systems
• Experience integrating learned behavior policies, prediction or intent models
• Ability to reason about safety, evaluation and deployment risk
• Excellent cross-functional communication and technical leadership skills