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Probabilistic Risk Assessment Jobs (NOW HIRING)

International Executive Service Corps

General Summary Perform various complex Probabilistic Safety Analysis (PSA) tasks requiring specialized skills and broad experience in the areas of probabilistic risk assessment methods, consequence ...

Electric Power Research Institute, Inc.

EPRI seeks an experienced engineer with expertise in Probabilistic Risk Assessment (PRA), risk-informed applications, and nuclear safety analysis to support research and member programs within the ...

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How much do probabilistic risk assessment jobs pay per month?

As of Sep 11, 2026, the average monthly pay for probabilistic risk assessment in the United States is $8,731.92, according to ZipRecruiter salary data. Most workers in this role earn between $5,208.33 and $12,250.00 per month, depending on experience, location, and employer.

What is a probabilistic risk assessment?

A Probabilistic Risk Assessment (PRA) job involves evaluating risks by using statistical methods to quantify the likelihood and consequences of potential adverse events. Professionals in this field apply mathematical models, simulations, and data analysis to assess uncertainties and improve decision-making in industries such as nuclear energy, aerospace, and finance. Their work helps organizations enhance safety measures, comply with regulations, and optimize system reliability. PRA analysts often collaborate with engineers, policymakers, and risk managers to develop strategies that mitigate potential hazards.

What are the typical daily responsibilities of someone working in probabilistic risk assessment?

Professionals in Probabilistic Risk Assessment often spend their days collecting and analyzing data, developing quantitative risk models, and preparing risk reports for stakeholders. They collaborate closely with engineers, project managers, and regulatory personnel to evaluate system reliability and identify potential failure modes. Regular tasks include running simulations, updating risk assessments based on new information, and presenting findings to both technical and non-technical audiences. This role involves balancing analytical work with team-based problem solving, making it ideal for individuals who enjoy both independent analysis and collaborative projects.

What are the key skills and qualifications needed to thrive in probabilistic risk assessment, and why are they important?

To thrive in Probabilistic Risk Assessment, you need a strong background in statistics, mathematics, and risk modeling, typically supported by a degree in engineering, mathematics, physics, or a related field. Familiarity with specialized software tools like SAPHIRE, R, MATLAB, or Monte Carlo simulation packages, as well as relevant certifications such as Certified Reliability Engineer (CRE), is often required. Excellent analytical thinking, communication skills, and attention to detail are highly valued soft skills in this role. These competencies are crucial to accurately identify, quantify, and communicate potential risks, supporting informed decision-making in safety-critical industries.

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Probabilistic Risk Assessment jobs near you
Infographic showing various Probabilistic Risk Assessment job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $104,783 per year, or $50.4 per hour.

Probabilistic Risk Assessment Engineer

San Francisco, CA

Kodiak
Construction • 51 - 200 employees
Learn more about Kodiakexternal

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

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](https://endorsed.com/local-law-144). 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 careers@kodiak.ai with "Separate Review Request" in the email subject line.