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

As of Jul 10, 2026, the average yearly pay for 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.

What is a Probabilistic Risk Analysis Engineer job?

A Probabilistic Risk Analysis Engineer evaluates and quantifies risks in complex systems using statistical methods and mathematical models. They assess uncertainties, predict potential failures, and recommend mitigation strategies for industries such as aerospace, nuclear energy, and finance. Their work involves analyzing data, running simulations, and developing probabilistic models to improve safety, reliability, and decision-making.

What are common challenges faced by Probabilistic Risk Analysis Engineers, and how do they overcome them?

Probabilistic Risk Analysis Engineers often face the challenge of working with incomplete or uncertain data while needing to deliver precise risk assessments for critical systems. They overcome this by employing advanced statistical methods, sensitivity analyses, and by collaborating with subject matter experts across engineering, safety, and operations teams to refine models and assumptions. Clear communication is essential, as engineers must translate technical results into actionable insights for decision-makers. Staying current with industry standards and continuously improving modeling techniques also helps them address evolving project requirements. This dynamic environment supports ongoing skill development and offers opportunities for professional growth in reliability, safety, and systems engineering.

What are the key skills and qualifications needed to thrive in the Probabilistic Risk Analysis Engineer position, and why are they important?

To thrive as a Probabilistic Risk Analysis Engineer, you need a strong background in engineering, mathematics, and statistics, often supported by a relevant degree and experience in quantitative risk assessment. Familiarity with Monte Carlo simulation tools, reliability software (such as @RISK or ReliaSoft), and professional certifications like Professional Engineer (PE) or Certified Reliability Engineer (CRE) are highly valuable. Strong analytical thinking, attention to detail, and the ability to clearly communicate complex findings to diverse stakeholders are crucial soft skills. These competencies ensure accurate risk modeling and effective collaboration with multidisciplinary teams in high-stakes engineering projects.

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Probabilistic Risk Analysis Engineer jobs near you
Infographic showing various Probabilistic Risk Analysis Engineer job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Probabilistic Risk Assessment (PRA) Engineer (Entry Level)

Probabilistic Risk Assessment (PRA) Engineer (Entry Level)

System One

Bellevue, WA • Remote

$37 - $74/hr

Contractor

Posted 15 days ago

Job description

Probabilistic Risk Assessment (PRA) Engineer – Entry Level (Contract)

Location: Remote Pay Rate: $37-$74/hour Position Type: Long-Term Contract

Position Overview

System One is seeking an Entry Level Probabilistic Risk Assessment (PRA) Engineer to support the development of next-generation advanced nuclear reactor technology. This role offers an excellent opportunity to work with a multidisciplinary engineering team performing probabilistic risk assessments, severe accident analysis, and safety evaluations that support reactor design, licensing, and regulatory compliance.

The selected candidate will contribute to the development and maintenance of PRA models, perform risk analyses, support hazard evaluations, and collaborate with engineering teams to ensure safe, reliable, and innovative reactor designs.

Responsibilities

  • Support internal and external Probabilistic Risk Assessment (PRA) activities.
  • Develop and maintain event trees, fault trees, and PRA models using CAFTA.
  • Perform risk integration studies, importance measures, and risk metrics.
  • Support severe accident and consequence analyses.
  • Participate in hazard analyses, PIRT evaluations, SSC classifications, Licensing Basis Events (LBE), and Defense-in-Depth (DID) evaluations.
  • Collaborate with multidisciplinary engineering teams to establish system reliability, safety, and performance requirements.
  • Prepare engineering calculations, technical documentation, and analytical reports.
  • Participate in design reviews and engineering evaluations.
  • Present technical findings to project teams, management, and regulatory organizations.
  • Support continuous improvement of PRA methodologies, computational models, and engineering processes.

Required Qualifications

  • Bachelor's degree in Nuclear, Mechanical, Electrical, Aerospace Engineering, or related discipline.
  • One or more years of Probabilistic Risk Assessment (PRA) experience.
  • Understanding of PRA principles and familiarity with ASME/ANS PRA standards.
  • Knowledge of risk-informed, performance-based regulatory approaches.
  • Experience with PRA software such as CAFTA, FRANX, SAPHIRE, RiskSpectrum, or similar tools.
  • Strong technical writing, analytical, and communication skills.
  • Ability to work effectively on multidisciplinary engineering teams.

Preferred Qualifications

  • Experience with GOTHIC, MELCOR, RADTRAD, or similar analytical software.
  • Experience with sodium-cooled or advanced reactor technologies.
  • Knowledge of severe accident analysis, human reliability analysis, source term evaluations, and accident progression.
  • Familiarity with nuclear licensing and regulatory requirements.

This is an outstanding opportunity to contribute to the development of advanced nuclear technologies while working remotely on innovative, first-of-a-kind engineering projects.

Ref: #161-Managed Staffing Charlotte

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