OpenAI
Release Engineer | Consumer Devices
About this role
OpenAI seeks a Release Engineer to design and operate CI/CD pipelines and release infrastructure for consumer devices, managing software delivery across bootloaders, firmware, OS, and cloud services. You'll ensure reproducible builds, secure deployments, and reliable OTA updates at scale while collaborating with embedded, cloud, and QA teams.
What you'll do
- Design and maintain CI/CD pipelines for multi-component builds using hermetic toolchains
- Define versioning strategies, automate promotions, and manage artifact retention
- Integrate test results and implement test quarantine and failure bisection
- Build A/B OTA update flows with staged rollouts, canaries, and rollback strategies
- Implement code signing, SBOM generation, vulnerability scanning, and build attestations
- Monitor build health dashboards and fleet update telemetry with alerts
What they're looking for
- CI/CD systems (GitHub Actions, Buildkite)
- Python and Bash scripting
- Linux user-space fundamentals
- Artifact registry management
- OTA update deployment at scale
- Key management and supply-chain security
- Vendor BSP and toolchain management
- Metrics-driven optimization
Benefits
- Hybrid work model (4 days in office per week)
- San Francisco-based role
- Relocation assistance provided
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Walk us through how you've designed a CI/CD pipeline for a multi-component system (firmware, OS, apps). What tools did you use and how did you ensure reproducibility?
- Describe your experience with OTA updates at scale. How have you implemented staged rollouts, canaries, and safe rollback strategies?