NVIDIA
From NVIDIA's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
What you’ll be doing: Lead and manage a team of systems engineers who build and operate the shared developer platform.
Work closely with the NVIDIA team in charge of the shared developer environment used by every engineer within the research cloud organization to build, test, and deliver software. We manage the systems and infrastructure that guarantee safe and dependable software delivery at scale. This includes source control, CI/CD and build systems, runner and execution infrastructure, artifact and dependency systems, as well as quality and release-control systems. These systems help stop defects from reaching production. In addition to managing the platform, we establish and promote the engineering standards for how software is developed, tested, and delivered throughout the wider organization.
Lead and manage a team of systems engineers who build and operate the shared developer platform. Set technical direction and raise the engineering bar. Develop experienced and principal engineers.
Own the path from a developer’s change to production. This includes test-first development, GitOps or equivalent experience, and declarative delivery. It also covers progressive rollout with defined stop criteria and blast-radius controls. Finally, manage quality gates that ensure shipping is safe by build.
Drive measurable developer and quality improvements, encompassing the stability and dependability of build and integration workflows, developer cycle time, change-failure rate, and quality signals that keep defects out of production.
Develop platforms and practices that set quality as the default. Work with teams outside your reporting line to build consensus. Advance the organization toward shared tooling, testing protocols, and delivery standards.
Drive cross-functional alignment across engineering, infrastructure, and security on build systems, CI/CD, safeguarding the software delivery pipeline, and quality gates, turning fragmented tooling into a shared plan.
Evaluate AI-assisted development tools like automatic test creation, autonomous code review, and smarter quality gates. Establish guidelines for safe adoption that amplify strong engineers without growing technical debt.
Represent developer platform priorities and quality outcomes to senior leadership.
12+ overall years of industry experience in systems, infrastructure, or developer platform engineering.
5+ years of experience leading and managing engineering teams, including senior and staff engineers.
BS or MS in Computer Science or a related field, or equivalent experience.
Demonstrated experience driving cross-functional alignment around shared tooling, test field, or delivery standards across teams outside a direct reporting structure.
Deep understanding of how software gets to production safely, including development guided by automated verification, GitOps or equivalent experience, continuous delivery, progressive rollout, rollback, and release controls.
Experience building developer platforms, continuous integration and delivery pipelines, build systems, or quality infrastructure at scale, where the core challenges are reliability, concurrency, and system scale.
Demonstrated track record of driving measurable outcomes including build and pipeline reliability, reduced incidence of failed changes, and improved developer efficiency.
Background in crafting or assessing AI-assisted engineering tooling, including automated test generation, agentic code review, or AI-supported debugging.
Hands-on depth in CI/CD, build systems, test infrastructure, GitOps delivery, or developer productivity platforms delivered as self-service platforms with demonstrated team adoption.
Experience building or leading inside a developer platform, release engineering, or quality function at scale within a large engineering organization.
Experience with software supply-chain security, including dependency provenance and artifact signing.
Experience operating developer platform infrastructure at GPU, HPC, or AI infrastructure scale, where concurrency and resource constraints are the core challenge.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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