Job Description

Kodiak Robotics, Inc. was founded in 2018 and has become the trusted world leader in autonomous ground transportation committed to a safer and more efficient future for all. The company is developing an industry-leading artificial intelligence (AI) powered technology stack purpose-built for driverless military and long-haul trucking applications. Kodiak’s unique modular hardware approach integrates sensors into a streamlined sensor-pod structure that optimizes for perception, scalability, and maintainability. The company autonomously delivers freight daily for its commercial customers across the Sun Belt states and for Atlas Energy in the Permian Basin. Kodiak also leverages its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

We are looking for a candidate who can support Kodiak’s Probabilistic Risk Assessment efforts to quantify and manage the Kodiak Autonomy System’s SOTIF risk.

An ideal candidate will have a deep understanding of probabilistic modeling, experience working with Bayesian statistics, and familiarity with verification and validation of autonomous systems. This will be used to support our safety claims about safe perception, motion planning, and control for autonomous robots so that we can ethically and safely deploy autonomous trucks to save lives and transform the freight industry.

In this role, you will:

• Develop Python-based probabilistic risk models to analyze SOTIF risk for an autonomous driving system
• Collaborate with autonomy software and hardware developers to continuously refine risk models.
• Collaborate with data science teammates to process real-world driving data for ingestion into the PRA model.
• Lead projects to identify risk sources, systematically construct well-defined risk models, lead data collection efforts, revise risk models, and guide cross-functional groups to reduce the risk.

What you'll bring:

• Strong background in Bayesian statistics and probabilistic models
• Strong quantitative skills
• Proficiency in Python including numpy and scipy libraries
• Familiarity with autonomous system verification and validation
• Familiarity with fault tree analysis (FTA), FMEA, and other safety tools.

An ideal candidate may also bring some of the following experiences:

• Familiarity with reliability analysis
• Familiarity with developing autonomous vehicle safety cases
• Familiarity with machine learning models
• Familiarity with sequential state estimation algorithms

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO 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, One Medical, Gympass, Spring Health
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)