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Probabilistic Risk Assessment Engineer

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 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.)


The salary range for this full-time position is $180,000-$235,000 + bonus + equity + benefits. Actual salary ranges will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.


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.

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$180000K
$235000K

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What You Should Know About Probabilistic Risk Assessment Engineer, Kodiak

At Kodiak Robotics, Inc., we’re on a mission to revolutionize the freight industry with our autonomous ground transportation technology. As a Probabilistic Risk Assessment Engineer in our vibrant Mountain View office, you’ll dive deep into probabilistic modeling and Bayesian statistics, essential for quantifying the safety of our cutting-edge autonomy systems. Your role will involve developing Python-based probabilistic risk models focused on SOTIF risk, ensuring that our autonomous vehicles can safely navigate and deliver. Collaboration is key, as you'll work closely with both our autonomy software and hardware developers to refine these models regularly. By analyzing real-world driving data with your data science teammates, you will help construct thorough risk assessments that lead to safer autonomous driving experiences. If you have a strong background in Bayesian statistics, along with proficiency in Python—especially using libraries like numpy and scipy—you might just be the person we are searching for. In addition to rigorous model development, you’ll also be instrumental in identifying risk sources, leading project efforts that could transform the autonomous trucking industry. Your contributions will not only push technological boundaries but also play a vital role in saving lives and enhancing safety. Join us in this exciting challenge at Kodiak Robotics, where innovation meets a commitment to safety and efficiency. We offer a competitive compensation package, flexible PTO, and many fantastic perks, all in a vibrant and inclusive workplace culture. Ready to drive the future with us?

Frequently Asked Questions (FAQs) for Probabilistic Risk Assessment Engineer Role at Kodiak
What does a Probabilistic Risk Assessment Engineer do at Kodiak Robotics?

A Probabilistic Risk Assessment Engineer at Kodiak Robotics is responsible for developing and refining probabilistic risk models that quantify safety risks associated with our autonomous systems. This includes collaborating with software and hardware teams to continuously improve these models and processing real-world driving data to enhance our assessments.

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What qualifications are needed to become a Probabilistic Risk Assessment Engineer at Kodiak Robotics?

Candidates should have a strong background in Bayesian statistics, proficiency in Python (including numpy and scipy), and an understanding of autonomous system verification and validation processes. Familiarity with safety tools like fault tree analysis (FTA) and FMEA is also beneficial.

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How does Kodiak Robotics support its employees in the role of a Probabilistic Risk Assessment Engineer?

At Kodiak Robotics, we provide a competitive compensation package including equity and bonuses, comprehensive health plans, flexible PTO, and various wellbeing benefits, designed to ensure our employees thrive both professionally and personally.

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What kind of projects will a Probabilistic Risk Assessment Engineer lead at Kodiak Robotics?

In this role, you will lead projects that identify risk sources, construct well-defined risk models, and guide cross-functional teams in data collection and risk reduction strategies, shaping the future of safe autonomous driving.

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What is the salary range for the Probabilistic Risk Assessment Engineer position at Kodiak Robotics?

The salary for the Probabilistic Risk Assessment Engineer position ranges from $180,000 to $235,000, plus bonuses and equity. Actual compensation will depend on factors such as experience, location, and skill level.

Join Rise to see the full answer
Common Interview Questions for Probabilistic Risk Assessment Engineer
What experience do you have with probabilistic modeling in risk assessment?

When answering this question, highlight specific projects where you utilized probabilistic models, emphasizing your understanding of Bayesian statistics and how it applied to real-world scenarios.

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How do you approach collaboration with cross-functional teams?

Discuss your communication style and any experience you've had in collaborative environments. Share examples where effective teamwork led to successful outcomes in risk modeling and assessment.

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Can you describe a project where you identified and mitigated risks?

Describe a specific situation where you identified risks in a project, the methods used to analyze these risks, and the outcomes after implementing mitigation strategies.

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What tools do you use for data analysis in your risk assessment work?

Mention tools you are proficient in, particularly in Python (numpy, scipy), as well as any other relevant software tools. It’s useful to provide examples of how these tools have assisted your analysis.

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How do you stay updated with the latest developments in autonomous systems safety?

Talk about your practices for ongoing learning, such as following industry publications, attending conferences, or participating in relevant forums that focus on safety technologies in autonomous systems.

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What role does Bayesian statistics play in your risk assessment methodology?

Explain how you apply Bayesian statistics in your assessments, detailing how it helps in predicting uncertainties and enhancing the reliability of your risk evaluations.

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Describe a challenge you faced in autonomous system verification and how you overcame it.

Use this as an opportunity to tell a compelling story about a specific challenge, the steps you took to navigate it, and the lessons learned from that experience.

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How would you communicate complex technical risk assessments to non-technical stakeholders?

Discuss your strategies for simplification and clarity. Provide examples of how you've effectively communicated technical details to a lay audience in the past.

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What is your understanding of safety analysis tools like FTA and FMEA?

Go over the fundamentals of fault tree analysis and failure mode effect analysis, providing insights into how you’ve applied these in practice to ensure system safety.

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What motivates you to work in autonomous systems and risk assessment?

Share your passion for technology and safety, perhaps tying in personal experiences or aspirations that relate to improving the industry through rigorous risk assessment and modeling.

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Full-time, on-site
DATE POSTED
April 2, 2025

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