OpenAI Logo

OpenAI

Software Engineer, Cyber Frontier

Posted 18 Hours Ago
Hybrid
San Francisco, CA, USA
230K-325K Annually
Entry level
Hybrid
San Francisco, CA, USA
230K-325K Annually
Entry level
The Software Engineer will help develop and deploy security products, work with trusted defenders, shape model training, and improve cyber capabilities.
The summary above was generated by AI

About the Team

Our Cyber team builds AI systems and products that help trusted defenders understand and respond to cyber threats while improving the safety and reliability of frontier models in security-sensitive settings.

The team works across product engineering, model training, evaluations, safeguards, and deployment to make advanced cyber capabilities useful to defenders and responsibly managed. We collaborate closely with Safety/Preparedness, Research, Security, Legal, Communications, GTM, and external partners across OpenAI’s broader cyber work.

About the Role

We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data. This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases.

In this role, you will:

  • Help define and execute the technical roadmap for Codex Cyber’s security products, including evaluations, safeguards, trusted-defender workflows, and deployment decisions.

  • Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities.

  • Shape cyber-specific model training and access patterns, including data, evaluations, validation, and deployment criteria.

  • Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice.

  • Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company-wide cyber priorities.

  • Translate frontier cyber research into launch-ready tools, operational playbooks, and durable infrastructure for Codex and security products.

You might thrive in this role if you:

  • Enjoy 0 -> 1 environments, can navigate ambiguity, are excited to build security products that bring frontier AI capabilities to trusted defenders responsibly.

  • Can move fluidly between product launches, customer and defender partnerships, model training, evaluation science, and security research.

  • Have strong programming skills in Python, TypeScript/JavaScript, or similar languages, with the judgment to build reliable systems in ambiguous, high-stakes domains.

  • Think clearly about cyber capability, misuse risk, access patterns, safeguards, and deployment tradeoffs in high-stakes environments.

  • Have experience in ML systems, security products, cyber evaluations, model training, safety engineering, or trusted customer deployments.

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.

HQ

OpenAI San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

A Minute Ago
Easy Apply
Remote or Hybrid
US
Easy Apply
145K-175K Annually
Senior level
145K-175K Annually
Senior level
Artificial Intelligence • Machine Learning
The Senior Quality Engineer will enhance the automation framework, improve automated coverage, drive quality in compliance-critical software, and establish testing pipelines while collaborating with multiple teams.
Top Skills: AWSAzureGCPGoKubernetesMlflowScala
2 Minutes Ago
Easy Apply
Hybrid
Palo Alto, CA, USA
Easy Apply
151K-297K Annually
Expert/Leader
151K-297K Annually
Expert/Leader
Big Data • Cloud • Software • Database
The Staff Research Scientist will conduct AI research, focusing on embedding models and LLMs while collaborating with other scientists and engineers on practical deployments and innovations in information retrieval.
Top Skills: Artificial IntelligenceComplex Neural NetworksDeep LearningMachine LearningNatural Language Processing
3 Minutes Ago
Hybrid
San Francisco, CA, USA
175K-220K Annually
Senior level
175K-220K Annually
Senior level
Blockchain • Cloud • Fintech • Information Technology • Software • Cryptocurrency • Web3
The Revenue Operations Lead will architect and operate Alchemy's revenue engine, managing pipeline generation, forecasting, and performance tracking across Sales, Marketing, and Customer Success.
Top Skills: ClayDbtLookerPocusSalesforce

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account