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Probabilistic Risk Assessment Engineer Jobs in Oregon

Senior Privacy Engineer

OR · On-site +1

$104K - $143K/yr

Upstart's Privacy Engineering team builds the systems, tools, and technical controls that help ... Support privacy reviews, data flow assessments, and technical risk assessments for new products ...

Build mechanisms for continuous AI risk assessment and operational visibility. Secure AI Development * Partner with software engineers to integrate AI security into development workflows. * Conduct ...

Evaluate high complexity product opportunities and generate reports for feasibility, profitability, and risk assessment * Engage with customers to define concepts and develop engineered solutions for ...

Senior Engineer, Quality Engineering

Beaverton, OR · On-site

$92K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Engineer, Quality Engineering Summary: ADI is seeking an experienced Quality Engineer to ... Evaluate non-conforming material and support risk assessment and disposition of the material.

Senior Engineer, Quality Engineering

Beaverton, OR · On-site

$92K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Engineer, Quality Engineering Summary: ADI is seeking an experienced Quality Engineer to ... Evaluate non-conforming material and support risk assessment and disposition of the material.

Conduct formal risk assessments for existing process system to proactively mitigate quality and ... Provide engineering input during client audits and regulatory inspections * Proactively identify ...

Conduct formal risk assessments for existing process system to proactively mitigate quality and ... Provide engineering input during client audits and regulatory inspections * Proactively identify ...

Showing results 21-40

Probabilistic Risk Assessment Engineer information

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

To thrive as a Probabilistic Risk Assessment Engineer, you need a solid background in mathematics, statistics, and engineering principles, generally supported by a degree in engineering or a related field. Familiarity with specialized software such as SAPHIRE, RiskSpectrum, or CAFTA, as well as industry-specific standards and certifications like ASME or NRC guidelines, is typically required. Strong analytical thinking, attention to detail, and effective communication skills are essential for interpreting complex data and presenting findings to diverse stakeholders. These skills and qualifications are crucial for accurately assessing risks, ensuring regulatory compliance, and supporting the safety and reliability of critical systems.

What is a probabilistic risk assessment engineer?

A Probabilistic Risk Assessment (PRA) Engineer is a professional who evaluates the likelihood and potential consequences of risks in complex systems, often in industries such as nuclear power, aerospace, or chemical processing. They use quantitative methods and statistical models to analyze possible failure scenarios and their impacts, helping organizations make informed decisions about safety and reliability. PRA Engineers play a crucial role in identifying vulnerabilities, recommending risk mitigation strategies, and ensuring compliance with regulatory standards. Their work helps minimize the chances of catastrophic failures and improves overall system safety.

How does a probabilistic risk assessment engineer typically collaborate with other engineering and safety teams during a project?

Probabilistic Risk Assessment Engineers frequently work in multidisciplinary teams, collaborating closely with safety engineers, systems engineers, and project managers to analyze and mitigate potential risks. They provide quantitative risk assessments that inform design decisions, operational procedures, and regulatory compliance efforts. Regular meetings and data-sharing sessions are common, ensuring that risk insights are integrated throughout the project lifecycle. This collaborative environment enables effective communication of complex risk scenarios and fosters a culture of safety and continuous improvement.

What is the difference between Probabilistic Risk Assessment Engineer vs Fault Tree Analyst?

AspectProbabilistic Risk Assessment EngineerFault Tree Analyst
CredentialsEngineering degree, certifications in risk analysis or reliabilityEngineering or technical background, certifications in fault tree analysis
Work EnvironmentIndustry settings like energy, aerospace, nuclear; risk modelingSafety analysis teams, engineering departments; fault tree development
Employer & Industry UsageUsed by utilities, aerospace, nuclear plants for risk assessmentUsed in safety engineering, accident prevention, reliability studies

Both roles focus on safety and risk analysis but differ in scope. Probabilistic Risk Assessment Engineers develop comprehensive models to quantify risks, while Fault Tree Analysts focus specifically on fault tree development to identify failure pathways. The roles often collaborate but serve distinct functions within safety and reliability teams.

What are popular job titles related to Probabilistic Risk Assessment Engineer jobs in Oregon?

For Probabilistic Risk Assessment Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Probabilistic Risk Assessment Engineer jobs in Oregon look for?

The top searched job categories for Probabilistic Risk Assessment Engineer jobs in Oregon are:

What cities in Oregon are hiring for Probabilistic Risk Assessment Engineer jobs?

Cities in Oregon with the most Probabilistic Risk Assessment Engineer job openings:

Senior Privacy Engineer

Upstart

OR • On-site, Remote

$104K - $143K/yr

Full-time

Re-posted 10 days ago


Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

The Team: 

Upstart's Privacy Engineering team builds the systems, tools, and technical controls that help protect borrower, applicant, partner, and Upstarter data across our products and platforms. The team works across Engineering, Security, Legal, Compliance, Product, Data, and Machine Learning to make privacy-by-design practical and scalable.

As a Privacy Engineer II at Upstart, you will build software and services that embed privacy controls into the core architecture of Upstart's products and technical systems. You will help implement privacy-enhancing technologies, data minimization patterns, and governance tooling that support responsible data use across Upstart's AI lending marketplace.

How you'll make an impact

  •  Design, build, and operate privacy engineering services that support user control, data governance, anonymization, pseudonymization, retention, deletion, and auditability
  • Implement privacy-by-design patterns and data minimization controls across Upstart's products, services, data pipelines, and machine learning systems
  • Build APIs, libraries, services, and developer tools that help engineering teams standardize privacy enforcement across the technology stack
  •  Partner with Security, Legal, Compliance, Product, Data, Machine Learning, and Infrastructure teams to translate privacy requirements into clear technical specifications
  •  Support privacy reviews, data flow assessments, and technical risk assessments for new products, data uses, and platform capabilities
  •  Improve the reliability, observability, and maintainability of privacy systems through testing, monitoring, documentation, and thoughtful technical design

Minimum Qualifications 

  •  Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience, and 3+ years of experience in software engineering
  • Experience building and operating production software systems using programming languages such as Python, Go, Java, Scala, C++, Rust, or similar languages
  •  Experience building APIs, microservices, libraries, or backend services that support data governance, privacy controls, security controls, or data platform capabilities
  •  Experience with at least two privacy or security domains such as anonymization, pseudonymization, data retention, deletion, data lineage, access control, encryption, audit logging, or data minimization
  • Experience translating privacy, security, compliance, or data protection requirements into software systems or technical workflows

Preferred Qualifications

  •  Knowledge of privacy-by-design principles, privacy-enhancing technologies, purpose limitation, consent, retention, deletion, and data subject rights
  • Experience with data governance systems, data catalogs, lineage tooling, personally identifiable information detection, redaction, or automated policy enforcement
  • Experience supporting privacy reviews, threat modeling, data flow mapping, or technical risk assessments for production systems
  • Experience working with machine learning systems, financial services, lending, or another regulated data environment
  • Ability to communicate privacy engineering tradeoffs clearly across technical, legal, compliance, product, and business audiences

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-REMOTE

#LI-MidSenior --> use for L5, L6


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