Software Engineer, Engineering Acceleration | Consumer Devices

About the Role

The Consumer Devices team at Openai is responsible for creating products that millions of people will use and rely on. As a Software Engineer on this team, you will play a critical role in shaping the future of how people interact with technology. Your work will have a direct impact on the company's ability to deliver high-quality products quickly and efficiently.

The ideal candidate for this role will have a strong technical background, excellent problem-solving skills, and a passion for innovation and collaboration. You will be working in a fast-paced environment with a talented team of engineers, researchers, and operations specialists.

What You Will Do

• Design, build, and operate CI/CD systems and software delivery pipelines for software that runs on both devices and in the cloud
• Lead the design and architecture of internal platform capabilities across build, test, deployment, workflow automation, and developer tooling
• Make hands-on technical decisions about platform design, abstraction boundaries, and system tradeoffs based on the team's current stage, scale, and operational needs
• Improve developer productivity by shortening feedback loops across build, test, debugging, environment setup, and release-adjacent workflows
• Build self-serve paved-road workflows that reduce manual effort and make common engineering tasks fast, reliable, and easy to adopt
• Use AI-native tooling and automation to improve engineering workflows, failure triage, and developer output quality
• Build secure-by-default platform capabilities, including access controls, secrets and credential handling, artifact permissions, auditability, and policy enforcement in software delivery workflows
• Partner closely with product, systems, release, quality, and infrastructure teams to understand pain points and turn them into durable platform improvements
• Define and track metrics for platform health and engineering effectiveness, including build times, queue times, failure rates, flaky failures, and deployment lead time
• Guide engineering teams on pragmatic observability, reliability, and scalability choices for the systems they build

What We Are Looking For

• 7+ years of software engineering experience, including 5+ years building developer productivity, CI/CD, internal platform, or engineering systems
• Deep experience designing and operating robust CI/CD pipelines, build systems, and software delivery infrastructure for complex products
• Strong track record of personally building platform features and workflow improvements that materially increased engineering velocity, reliability, or developer experience
• Experience making architectural decisions for internal platforms, including when to standardize, when to abstract, and when to keep systems simple
• Experience adapting technical decisions to the company's stage, scale, and operational needs
• Strong understanding of software delivery best practices, including continuous integration, continuous deployment, and continuous monitoring
• Excellent problem-solving skills, with the ability to analyze complex technical problems and develop creative solutions

Nice to Have

• Experience with cloud-based CI/CD systems, such as AWS CodePipeline or Google Cloud Build
• Knowledge of containerization technologies, such as Docker
• Familiarity with agile development methodologies and version control systems, such as Git
• Experience with AI-native tooling and automation, such as machine learning-based testing and deployment

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• Flexible PTO policy and paid holidays
• Remote work stipend and home office setup support
• Professional development opportunities, including conferences, training, and education assistance
• Access to cutting-edge technology and tools
• Collaborative and dynamic work environment with a talented team of engineers and researchers

• Tip: Highlight your experience with CI/CD systems and software delivery pipelines in your resume and cover letter.
• Make sure to research Openai's technology stack and be prepared to discuss your experience with similar tools and technologies.
• Showcase your problem-solving skills by providing examples of complex technical problems you've solved in the past.
• Be prepared to discuss your experience with agile development methodologies and version control systems.
• Don't be afraid to ask questions during the interview process - it shows your interest in the role and the company.
• Consider creating a portfolio of your work, including examples of your coding projects and contributions to open-source projects.