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NVIDIA

Designs the chips and software that power AI

Senior Manager - Developer Tooling and QE

Engineering LeadershipPosted on Nov 12
Full-timeIn-person

About the Job

Requirements

  • At least 12 years of overall industry experience in systems, infrastructure, or developer platform engineering.
  • At least 5 years of experience leading and managing engineering teams, including senior and staff engineers.
  • A 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.
  • A 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.
  • A demonstrated track record of driving measurable outcomes including build and pipeline reliability, reduced incidence of failed changes, and improved developer efficiency.

Responsibilities

  • Lead and manage a team of systems engineers who build and operate the shared developer platform; set technical direction, raise the engineering bar, and develop experienced and principal engineers.
  • Own the path from a developer’s change to production, including test-first development, GitOps or equivalent experience, declarative delivery, progressive rollout with defined stop criteria and blast-radius controls, and quality gates that ensure shipping is safe by build.
  • Drive measurable developer and quality improvements, including 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 the reporting line to build consensus and advance 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 such as 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.

Desired Qualifications

  • 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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