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Contract Probabilistic Risk Analysis Engineer Jobs in Santa Clara, CA

Endor Labs

Program Analysis Engineer

Palo Alto, CA · On-site

About the Role We are looking for a Program Analysis Engineer with an interest in program analysis ... risk across the software supply chain. * Participate in machine-learning experiments for SCA and ...

Endor Labs

Program Analysis Engineer

Palo Alto, CA · On-site

About the Role We are looking for a Program Analysis Engineer with an interest in program analysis ... risk across the software supply chain. * Participate in machine-learning experiments for SCA and ...

Jj

Senior Failure Analysis Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

As the Senior Failure Analysis Engineer, you will play a key role in advancing the reliability of ... Ensure learnings from investigations are integrated into design controls, risk assessments, FMEAs ...

Altera

Product Failure Analysis Engineer

San Jose, CA

$149K - $215K/yr

... risk assessments * Support debug and fault isolation on customer returns * Define, execute and ... Engineering or a related field * 8+ years of experience in semiconductor failure analysis * 8+ ...

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All JobsContract Probabilistic Risk Analysis Engineer JobsContract Probabilistic Risk Analysis Engineer Jobs in Santa Clara, CA

Contract Probabilistic Risk Analysis Engineer information

See Santa Clara, CA salary details

$44.6K

$136.1K

$224.9K

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

As of Aug 31, 2026, the average yearly pay for contract probabilistic risk analysis engineer in Santa Clara, CA is $136,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $177,900.00 per year, depending on experience, location, and employer.

What is a contract probabilistic risk analysis engineer?

A Contract Probabilistic Risk Analysis Engineer is a professional hired on a contractual basis to assess and quantify risks in engineering projects using probabilistic methods. They use statistical models and simulations to predict the likelihood and potential impact of various risks, helping organizations make informed decisions. These engineers often work in industries like energy, aerospace, or construction, and their analysis supports project safety, reliability, and cost-effectiveness. Their expertise helps organizations mitigate uncertainties and optimize project outcomes.

What are the key skills and qualifications needed to thrive as a contract probabilistic risk analysis engineer?

To thrive as a Contract Probabilistic Risk Analysis Engineer, you need a solid background in engineering, mathematics, and statistics, often supported by a relevant degree and experience with risk analysis methodologies. Familiarity with technical tools such as Monte Carlo simulation software, fault tree analysis programs, and industry-specific risk assessment platforms is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and present findings to stakeholders. These competencies are crucial for accurately identifying and mitigating risks in projects, ensuring safety, compliance, and project success.

What are some common challenges faced by contract probabilistic risk analysis engineers, and how can they be addressed?

Contract Probabilistic Risk Analysis Engineers often face the challenge of quickly integrating into new teams and projects, requiring rapid understanding of industry-specific risk models and standards. Balancing diverse stakeholder expectations, tight deadlines, and incomplete data sets can add complexity to analysis tasks. To address these challenges, effective communication, adaptability, and strong analytical skills are essential. Leveraging standard risk analysis frameworks and maintaining clear documentation can also help ensure consistency and accuracy in deliverables.

What is the difference between Contract Probabilistic Risk Analysis Engineer vs Contract Reliability Engineer?

AspectContract Probabilistic Risk Analysis EngineerContract Reliability Engineer
CredentialsTypically requires engineering degrees, certifications in risk analysis or reliability (e.g., ASQ, IRCA)Requires engineering degrees, certifications in reliability or maintenance (e.g., CRE, RCM)
Work EnvironmentFocuses on risk modeling, probabilistic assessments, often in industries like energy, aerospaceFocuses on system reliability, maintenance strategies, often in manufacturing, utilities
Industry UsageCommon in nuclear, aerospace, oil & gas sectorsCommon in manufacturing, power plants, industrial facilities

The Contract Probabilistic Risk Analysis Engineer specializes in quantitative risk modeling using probabilistic methods, while the Contract Reliability Engineer emphasizes system reliability and maintenance strategies. Both roles require engineering backgrounds but focus on different aspects of safety and system performance within similar industries.

What are the most commonly searched types of Probabilistic Risk Analysis Engineer jobs in Santa Clara, CA?

The most popular types of Probabilistic Risk Analysis Engineer jobs in Santa Clara, CA are:

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For Contract Probabilistic Risk Analysis Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Contract Probabilistic Risk Analysis Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Contract Probabilistic Risk Analysis Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Contract Probabilistic Risk Analysis Engineer jobs?

Cities near Santa Clara, CA with the most Contract Probabilistic Risk Analysis Engineer job openings:

Contract Probabilistic Risk Analysis Engineer jobs near you
Infographic showing various Contract Probabilistic Risk Analysis Engineer job openings in Santa Clara, CA as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Temporary. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $136,076 per year, or $65.4 per hour.

Safety Engineer - Risk Management

Waymo

Mountain View, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations.
In this hybrid role, you will report to Risk Management, Safety Engineer
You will:
  • You will architect best practices for risk assessment methodologies, including publishing internal guidance on risk model, data sources and computation methods.
  • You will partner with domain experts from systems, hardware, software, and operations to build robust risk assessments with sustainable overhead for execution and flexibility in the face of an expanding product scope.
  • You will help define what test coverage and field monitoring is necessary to ensure regression protection.
  • You will identify stakeholders, learn their pain points, and work to unblock barriers to scale by streamlining rate limiting processes, automating repetitive tasks, and developing tools to enable future projects. You continously evaluate the tools available inside and outside the team/company/industry, using the right ones to unlock increased scale without compromising on rigor.
  • You will translate complex probabilistic risk models and statistical analyses into clear, actionable safety arguments and executive summaries for technical leaders, cross-functional partners, and safety review boards.
  • You will champion and promote a robust safety culture and the continuous improvement of the Waymo safety program across the engineering and operations organizations.

You have:
  • An advanced degree in Computer Science, Robotics, Engineering or other relevant technical field OR 4 years of practical experience involving safety risk assessments and quantitative statistical methods.
  • Proven experience developing quantitative risk models, Probabilistic Risk Assessments (PRA), or reliability analyses using statistical and mathematical techniques (e.g., Monte Carlo simulations, uncertainty modeling, distribution fitting).
  • Proficiency in Python, R, or SQL for data manipulation, statistical evaluation, and building automated risk analysis scripts (focusing on data analysis and modeling rather than production software infrastructure).
  • Strong foundation in the process of risk management, including the end-to-end lifecycle of risk: identification, assessment, mitigation and acceptance of risk (e.g. following ISO 31000/31010 or equivalent standards).
  • Solid understanding of safety critical system designs and the systems engineering "Verification and Validation" process.
  • Demonstrated technical project management skills with the ability to effectively manage multiple parallel, cross-functional safety-critical projects and teams. Ability to thrive in ambiguity.

We prefer:
  • Deep background in data science and statistics with a focus on analyzing large data sets for quantitative risk reduction, safety insights, and performance assessment.
  • Experience performing system safety risk management in autonomous vehicles, aerospace, defense, robotics, rail, or medical device industries.
  • Experience mentoring or training engineering teams on quantitative risk assessment methods and safety principles.
  • Experience with C++ and Python.
  • Success as a safety culture champion, influencing engineering culture, ensuring safety is a first-class citizen in every design discussion.
  • Proven leadership experience in working with external partners, contractors, suppliers, and regulatory bodies/auditors.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay 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.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$204,000-$252,000 USD

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