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Kodiak

Staff Software Engineer – Learned & Hybrid Behavior Planning

Kodiak

Staff Software Engineer integrating learned models into behavior planning for autonomous vehicles. Working cross-functionally to improve autonomous driving capabilities at Kodiak Robotics.

Posted 6/24/2026full-timeMountain View • California • 🇺🇸 United StatesLead💰 $240,000 - $265,000 per yearWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Lead Planning-side integration of learned models into the behavior planning stack.
  • Collaborate closely with ML teams on model improvements, requirements, evaluation, and deployment.
  • Work on learned planning components as well as other ML-driven planning signals, such as behavior classification, actor intent understanding, and data-driven decision-making.
  • Design integration strategies that balance learned components with existing heuristic planning systems.
  • Define validation, fallback, monitoring, and safety criteria for learned planning components.
  • Debug and analyze model behavior using simulation, logs, metrics, and real-world autonomy data.
  • Partner with cross-functional teams across Perception, ML, Planning, Simulation, Systems, and Safety.
  • Lead technical designs and mentor other engineers.

Requirements

What you’ll need
  • Strong experience in autonomous vehicles, robotics, or a related autonomy domain.
  • Deep technical background in behavior planning, decision-making, or motion planning.
  • Strong software engineering skills with proficiency in C++. Python proficiency is a plus.
  • Experience working with heuristic or classical planning systems.
  • Experience integrating or developing learned behavior policies, behavior classification, trajectory prediction, or actor intent models.
  • Ability to reason about safety, system behavior, evaluation, and deployment risk.
  • Excellent cross-functional communication and technical leadership skills.

Benefits

Comp & perks
  • Total compensation includes base pay, equity, bonus, and a competitive benefits package

ATS Keywords

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Hard Skills & Tools
C++Pythonbehavior planningdecision-makingmotion planninglearned behavior policiesbehavior classificationtrajectory predictionactor intent modelsheuristic planning systems
Soft Skills
cross-functional communicationtechnical leadershipmentoring