Senior Software Engineer, Planning ML Integration

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.

We're building the next generation of planning capabilities by integrating learned models into autonomous vehicle decision-making. You'll translate neural network outputs to reliable vehicle behaviors. In this role, you will enhance our motion planner by incorporating machine learning models. You will define the interfaces, requirements, and integration strategies necessary to meaningfully improve decision-making in complex, real-world environments.

In addition to this effort, you will contribute broadly to the evolution of our planning stack by developing new features, improving core algorithms, and strengthening the overall architecture. This is a high-impact role for an engineer who enjoys bridging disciplines, shaping emerging capabilities, and advancing state-of-the-art autonomy through thoughtful, rigorous engineering.

What you’ll do:

• Incorporate neural networks into the planning stack, working closely with ML, perception, and systems teams.
• Evaluate how learned inputs influence planner performance, in simulation and on-road.
• Architect fallback, hybrid, or arbitration strategies that maintain safety and reliability when learned models are uncertain or degraded.
• Contribute to the broader planning system by designing and implementing new planning behaviors, search strategies, optimizations, and structural improvements.
• Write high-quality C++ code that meets real-time constraints and supports safety-critical deployment.
• Participate in code reviews, design discussions, and cross-team planning to ensure alignment and technical excellence.

What you’ll bring:

• Strong software engineering skills with proficiency in C++. Python proficiency is a plus.
• Experience integrating ML models or learned components into a real-time system.
• A strong background in robotics, planning, optimization, and mathematics (MS, PhD, or equivalent experience).
• Industry experience in robotics or autonomous driving.
• Experience working in large-scale or safety-critical systems with strict performance requirements.
• Experience evaluating or interpreting ML model outputs.
• Strong analytical skills, including the ability to reason about algorithmic trade-offs and