
Probabilistic Risk Assessment Engineer
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 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.
- Familiarity with 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.)
Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.
California Pay Range
$180,000 - $235,000 USD
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