Senior Software Engineer, Behavior Prediction- Planning

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 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.

We are looking for a Senior Software Engineer to improve behavior prediction for autonomous this role you will work on how our autonomy system predicts the behavior intent and future motion of other road users and how those predictions are used by the planning system to make safe comfortable and effective decisions.

This role is ideal for someone with deep experience in autonomous vehicle prediction trajectory prediction behavior modeling or actor intent understanding. You will work closely with Planning and ML engineers to improve prediction quality model integration evaluation and downstream planning behavior.

This is not only an ML integration role. Through this high-impact role you will improve prediction using the most effective approach for the problem whether that means improving heuristic prediction logic collaborating on learned prediction models refining prediction-planning interfaces or changing how Planning consumes prediction outputs.

In this role you will:

• Own prediction improvements within the Planning team. Advance prediction models and collaborate closely with ML teams on learned prediction models model outputs uncertainty and failure modes.
• Improve prediction-planning interfaces including confidence uncertainty intent representation and fallback behavior.
• Collaborate on projects that improve planning behavior in scenarios where actor intent is uncertain or changing.
• Define metrics and evaluation frameworks for prediction quality as it relates to planning behavior. Analyze prediction-related planning failures using logs simulation metrics and scenario-based evaluation.
• Lead technical projects and mentor junior engineers.

What youll bring:

• Strong experience with behavior prediction trajectory prediction actor intent modeling or related autonomous vehicle prediction problems.
• Strong software engineering skills with proficiency in C. Python proficiency is a plus.
• Experience working with planning systems and understanding of how prediction impacts planning safety comfort and system behavior.
• Ability to analyze complex autonomy failures using logs metrics and simulation.
• Strong collaboration skills across Perception Planning ML Simulation and Systems teams.
• Strong system-level judgment around prediction uncertainty safety and deployment and ability to reason across heuristic learned and hybrid prediction approaches.

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical Dental and Vision plans through Kaiser Permanente Cigna and MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services Identity & Fraud Protection Hospital Indemnity Insurance Accident Insurance & Critical Illness Insurance
• Flexible PTO 10 paid holidays and generous parental leave policies
• Our office is centrally located in Mountain View CA
• Office perks: dog-friendly free catered lunch a fully stocked kitchen and free EV charging
• Long Term Disability Short Term Disability Life Insurance
• Wellbeing Benefits - Headspace through Cigna Calm through Kaiser One Medical Gympass Spring Health through Cigna Rula (mental health navigation)
• Fidelity 401(k)
• Commuter FSA Dependent Care FSA HSA
• Various incentive programs (referral bonuses patent bonuses etc.)