Engineering Manager, Hardware Infrastructure Build Systems

NVIDIA•Santa Clara, CA

2d•Hybrid

About The Position

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We are looking for a highly motivated Engineering Manager, Hardware Infrastructure Build Systems to join this dynamic and innovative HWInfra team team.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
10+ overall years of experience in software engineering, build systems, developer infrastructure, hardware infrastructure, or large-scale engineering tools.
3+ years of direct people management or technical leadership experience within a complex engineering environment.
A comprehensive understanding of large-scale build systems, dependency management, compilation flows, artifact generation, distributed caching, and software delivery pipelines.
Experience managing or developing infrastructure for large projects with custom build flows, preferably in hardware, silicon, systems, or embedded software environments.
Strong technical background in build tools and related technologies.
Demonstrated ability to lead and influence cross-functional collaborators across software, hardware, verification, infrastructure, operations, and release teams.
Experience using data, metrics, and observability to improve engineering efficiency, build performance, developer productivity, and system reliability.
Strong communication skills with the ability to translate complex technical tradeoffs into clear priorities for engineering teams and leadership.

Nice To Haves

Consistent record of leading build infrastructure teams supporting very large codebases, monorepos, hardware programs, or high-scale engineering organizations.
Hands-on experience with Bazel or similar modern build systems, including migration strategy, rule development, remote execution, caching, dependency modeling, or performance tuning.
Experience using Python, Go, C++, or other programming languages to build automation, developer tools, and scalable infrastructure services.
Background improving custom build flows while balancing compatibility, developer experience, performance, and long-term maintainability.
Knowledge of distributed build execution, remote caching, hermetic builds, reproducible builds, CI/CD integration, and artifact management as well as experience building dashboards, analytics, or reporting systems that provide actionable insights into build health, developer productivity, and infrastructure reliability.

Responsibilities

Driving the evolution of large-scale build infrastructure that supports rapid, reliable hardware and software development across the enterprise.
Leading a team of software engineers responsible for developing, maintaining, and scaling custom build tools and workflows used to build large, complex projects.
Architecting build systems, automation frameworks, and developer productivity tools that improve build performance, reliability, reproducibility, and observability.
Partnering with hardware, software, CAD, verification, infrastructure, and release teams to eliminate friction across development and integration workflows.
Modernizing custom build flows while evaluating and incorporating industry-standard build technologies.
Collaborating closely with engineering leaders, project managers, and infrastructure teams to identify bottlenecks in build, test, integration, and release processes.
Leading a high-performance engineering team focused on custom tooling, build orchestration, dependency management, API integrations, and analytics platforms that empower thousands of engineers.
Establishing scalable engineering practices for build reliability, change management, system monitoring, incident response, and continuous improvement.