Probabilistic Risk Assessment Engineer

Kodiak Robotics · San Francisco Bay Area · 4 weeks ago

Visa sponsorship: Yes
Company size: 1000+
Salary: USD 150,000 – 190,000 / year

ai cpp python risk-assessment spring statistics

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.

If you thrive on solving the hardest autonomy problems, we want you. This technically demanding role demands deep systems expertise, understanding of autonomy, mathematical rigor, and first-principles thinking to ensure safety in autonomous driving. You will own critical elements of our overall safety strategy to deliver safe, transformative autonomous trucking systems.

The Autonomy Systems Safety team is charged with an incredibly challenging task: how to make and prove that an autonomous truck is incredibly safe (<1 fatal collision per 10^8 hours)? There is no textbook for this sort of problem. You will be part of a small, high-impact team working to solve one of the most difficult problems in autonomous driving. You will be operating at the frontier of safety, working with talented teammates to leverage existing methods and to pioneer new methods when needed.

Each teammate is charged with owning a significant part of the overall safety story, whether it’s functional safety, probabilistic risk assessment, reliability engineering, building and running hardware-in-the-loop test rigs, defining and leading our structured testing campaigns, updating our safety case and documentation, and much more.

This role offers the opportunities for creating unparalleled impacts, overcoming career-defining technical challenges, and significant professional and technical growth.

What You'll Do:

Write Python code to estimate risk using Bayesian probabilistic models in our Probabilistic Risk Assessment.
Write C++ code to efficiently search for failure modes in insanely high-dimensional search spaces.
Run simulations and perform analysis to generate risk-informed results that shape engineering priorities at the company.
Pioneer new methods for practically achieving incredibly high safety levels in autonomous vehicles.
Perform hazard analysis, risk assessments, and fault tree analysis.
Collaborate cross-functionally to integrate safety throughout development.
Develop and execute comprehensive validation strategies.
Drive continuous improvement in safety processes and tools.

What you’ll bring:

M.S. or PhD in engineering, mathematics, statistics, or related technical field
Deep understanding of probability & statistics
Experience using building probabilistic models
Experience developing software using Python and C++
Experience using Monte Carlo simulation to solve technical problems
Excellent verbal and written communication skills, particularly related to technical topic

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.)

The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package

California Pay Range

$170,000—$210,000 USD

At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate’s residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate’s residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact [email protected] with "Separate Review Request" in the email subject line.

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