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Risk Control Engineer Jobs in California (NOW HIRING)

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Lead Engineer, Quality Control

Tustin, CA · On-site

$105K - $124K/yr

The Lead Engineer, Quality Control shall provide technical validation support for processes ... An understanding of Good Automated Manufacturing Practice (GAMP), SDLC, Risk Assessment and 21 CFR ...

HUB

Senior Risk Consultant

Newport Beach, CA · On-site

... engineering customized solutions, and delivering measurable results that protect their people ... Oversee insurance carrier loss control activities on behalf of clients, ensuring carrier ...

HUB

Senior Risk Consultant

Riverside, CA · On-site

... engineering customized solutions, and delivering measurable results that protect their people ... Oversee insurance carrier loss control activities on behalf of clients, ensuring carrier ...

HUB

Senior Risk Consultant

Culver City, CA · On-site

... engineering customized solutions, and delivering measurable results that protect their people ... Oversee insurance carrier loss control activities on behalf of clients, ensuring carrier ...

ACCO Engineered Systems

QA/QC Supervisor

Commerce, CA · On-site

... Engineering, and Regional QA/QC leadership. • Provide regular status updates on quality trends, staffing needs, high-risk systems, and project readiness for testing and turnover Program ...

ACCO Engineered Systems

QA/QC Supervisor

Commerce, CA · On-site

... Engineering, and Regional QA/QC leadership. * Provide regular status updates on quality trends, staffing needs, high-risk systems, and project readiness for testing and turnover Program & Compliance

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All JobsRisk Control Engineer JobsRisk Control Engineer Jobs in California

Risk Control Engineer information

See California salary details

$35.5K

$79.9K

$124.8K

How much do risk control engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for risk control engineer in California is $79,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a risk control engineer?

Risk Control Engineers are professionals who identify, assess, and mitigate risks in various industries, such as insurance, manufacturing, and energy. Their primary role is to analyze potential hazards, develop strategies to minimize losses, and ensure compliance with safety regulations. They often conduct site inspections, evaluate operational processes, and recommend improvements to reduce the likelihood of accidents or damage. By proactively managing risks, they help organizations protect their assets, employees, and reputation.

What are the key skills and qualifications needed to thrive as a risk control engineer?

To thrive as a Risk Control Engineer, you need a solid background in engineering, risk assessment, and safety management, typically supported by a degree in engineering or a related field. Familiarity with risk analysis software, safety standards (such as OSHA or ISO 45001), and relevant certifications like CSP (Certified Safety Professional) is commonly required. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this role. These competencies are essential for accurately identifying hazards, developing mitigation strategies, and ensuring workplace safety and regulatory compliance.

What are some common challenges faced by risk control engineers, and how can they be addressed on the job?

Risk Control Engineers often encounter challenges such as balancing regulatory compliance with practical operational needs, effectively communicating risks to non-technical stakeholders, and staying updated with evolving industry standards. To address these, it's essential to develop strong collaboration skills, maintain continuous professional education, and use clear, data-driven reporting methods. Building good relationships with cross-functional teams can also help ensure that risk control measures are both understood and implemented effectively.

What is the difference between Risk Control Engineer vs Risk Analyst?

AspectRisk Control EngineerRisk Analyst
CredentialsBachelor's in Engineering, certifications like CRM or RIMSBachelor's in Finance, Economics, or related fields; certifications like FRM or CRM
Work EnvironmentIndustrial sites, insurance companies, risk management departmentsFinancial institutions, consulting firms, insurance companies
Industry UsageInsurance, manufacturing, energy, constructionBanking, investment, insurance, consulting

While both roles focus on risk management, Risk Control Engineers primarily assess and mitigate physical and operational risks in industrial or insurance settings, whereas Risk Analysts analyze financial risks and market data. Understanding these differences helps employers and professionals choose the right career path or job fit.

Is risk control engineering a good career?

Risk control engineering is a viable career that involves identifying and mitigating safety hazards in various industries, often requiring knowledge of safety standards and risk assessment tools. It offers opportunities for specialization, certification, and advancement, with employment in sectors such as manufacturing, construction, and insurance. The role typically involves analytical skills and attention to detail, making it a stable and rewarding profession for those interested in safety and risk management.

What are popular job titles related to Risk Control Engineer jobs in California?

For Risk Control Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Risk Control Engineer jobs in California look for?

The top searched job categories for Risk Control Engineer jobs in California are:

Risk Control Engineer jobs near you
Infographic showing various Risk Control Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $79,940 per year, or $38.4 per hour.

GRC Program Manager, Assurance Engineering & Control Systems

OpenAI

San Francisco, CA • On-site

$216K - $252K/yr

Full-time

Posted 9 days ago

Job description

About the Team
OpenAI's Governance, Risk, and Compliance team helps ensure security and privacy are grounded in how our products and systems actually operate. Assurance Operations partners with Security, Engineering, Infrastructure, Product, Privacy, and Legal to make controls provable, risk decisions explicit, and audit readiness a result of well-designed systems.
About the Role
We are hiring a technical, product-minded GRC builder who can own consequential audits while improving the control and evidence systems behind them. You will build a reusable common control framework, use Codex to automate assurance work, validate changing system scope, and turn repeated audit friction into measurable improvements. We are looking for someone who questions inherited assumptions, solves novel problems creatively, works closely with engineers, and makes the next audit easier by improving the underlying system.
You'll be responsible for:
  • Lead external, internal, customer, and certification audit work from scoping through evidence review, fieldwork, remediation, and closeout.
  • Build a common control framework linking risk, control intent, implementation, owner, system, environment, evidence, and applicable frameworks.
  • Validate actual scope and ownership instead of assuming last year's controls, product boundaries, or evidence remain accurate.
  • Use Codex to build and test evidence checks, control mappings, request triage, owner workflows, monitoring, and remediation reporting.
  • Partner with engineers on cloud architecture, identity, logging, data flows, software changes, vulnerabilities, and control effectiveness.
  • Design maintainable, permission-aware tools that preserve source provenance, human review, and evidence integrity.
  • Reduce repeated requests and operational burden for control owners through measurable workflow improvements.
  • Define roadmaps, decision rights, milestones, success metrics, and clear cross-functional escalations.

We're looking for someone with:
  • Direct ownership of meaningful audit, security, customer-assurance, or regulatory outcomes.
  • Practical knowledge of control design, evidence, testing, operating effectiveness, and remediation.
  • Technical fluency across cloud systems, identity, logging, APIs, data flows, and system boundaries.
  • Ability to use Codex or comparable AI-assisted development tools to build, run, inspect, and test a working solution.
  • Experience using code, SQL, APIs, structured data, automation, or data workflows to solve an operational problem.
  • Ability to design reusable cross-framework controls without erasing framework-specific test and evidence requirements.
  • First-principles curiosity, creative problem solving, intellectual humility, and the ability to update when facts change.
  • Product and program judgment: define the user, scope, milestones, ownership, adoption, and measurable outcome.
  • Clear, constructive partnership with Security, Engineering, Infrastructure, Product, Privacy, Legal, and audit teams.
  • Frameworks such as SOC 2, ISO 27001/27017, PCI DSS, NIST, or FedRAMP are helpful; a specific degree, certification, or prior access to internal OpenAI tools is not required.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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