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Urgently Hiring Probabilistic Risk Analysis Engineer Jobs

INA Solution Inc

Safety Analysis Engineer

Richland, WA · On-site

Probabilistic Safety Analysis (PSA) Engineer I / II / III - Contract Location: Richland, WA (Onsite ... This role involves performing Probabilistic Risk Assessments (PRA/PSA) , developing and reviewing ...

Vast

Reliability Engineer

Long Beach, CA

$107K - $135K/yr

... probabilistic risk analysis * Experience with performing reliability analyses including Failure ... Ability to read and interpret engineering drawings, fluid schematics, and electrical circuit ...

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How much do urgently hiring probabilistic risk analysis engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for urgently hiring probabilistic risk analysis engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.
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Urgently Hiring Probabilistic Risk Analysis Engineer jobs near you
Infographic showing various Urgently Hiring Probabilistic Risk Analysis Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Post Doctoral Associate - Sakurahara Lab

University of Pittsburgh

Pittsburgh, PA

$47K - $64K/yr

Full-time

Re-posted 8 days ago

Job description

The Risk Analysis and Reliability Engineering (RARE) Laboratory at the University of Pittsburgh's Swanson School of Engineering conducts research to advance probabilistic risk assessment (PRA) to enhance the safety, efficiency, and usability of nuclear energy systems. The lab develops advanced PRA methodologies integrating physics-based simulations, Bayesian inference, and AI/machine learning tools to support risk-informed decision-making for both existing nuclear fleets and advanced reactors. Current projects include PRA for advanced reactors, integrated energy systems risk analysis, and AI-driven safety analysis tools with broad applicability across high-consequence industries.

Required Educational Background:
PhD in nuclear engineering or a relevant field (mechanical engineering, industrial engineering, etc.) with a research focus on probabilistic risk assessment and reliability engineering of nuclear energy systems.

Required Skillset:
Familiarity with nuclear power plant systems and hands-on experience with PRA software (e.g., CAFTA, SAPHIRE, and OpenPSA). Proficiency in scientific programming (e.g., Python) and exposure to AI/ML methods are required. A strong track record of publications, teamwork, proposal writing support, and mentorship is expected. 

Responsibilities:
Conduct research advancing PRA methodologies through expanded integration of physics-based simulations and AI tools. Disseminate research results through peer-reviewed journal publications and conference presentations. Support the PI in mentoring graduate and undergraduate researchers. Contribute to the development of external grant proposals.

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