Senior Systems Software Engineer - Infrastructure

Nvidia Corporation in; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Systems Software Engineer - Infrastructure (Finance) to lead the design and direction of GPU firmware infrastructure, automation, and release pipelines. You will drive reliability, tooling, and AI-powered workflows across cross-functional teams in a fast-moving environment.

You will mentor engineers, define platform standards, and partner with firmware, hardware, and business teams to accelerate NVIDIA’s GPU innovation.

Qualifications

• BS or MS in EE/CS/CE (or equivalent experience).
• 12+ years of infrastructure, platform, DevOps, or SRE engineering.
• Strong Python fluency, IaC experience, and scripting ability.
• Experience with distributed systems, cloud/on-prem compute fleets, containers, and orchestration (K8s).
• History of cross-org production systems ownership and lessons learned.
• Excellent communication, leadership, and mentoring abilities.

Responsibilities

• Set technical direction for major platform areas across product cycles.
• Design and lead infrastructure initiatives spanning team boundaries (firmware, hardware, partners).
• Own platform reliability: define SLIs/SLOs, instrument metrics, reduce MTTR, automate incident response.
• Identify automation opportunities and deliver solutions.
• Architect AI-powered workflows to multiply output.
• Set technical bar through reviews, docs, and mentoring.

Skills

Python

CI/CD

Distributed systems

SRE

Automation

Mentoring

Communication

Education

BS or MS in EE/CS/CE

Tools

Kubernetes (K8s)

Terraform

CI tooling

Job description

Senior Systems Software Engineer - Infrastructure (Finance)

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Do you derive more satisfaction from eliminating a manual process than from completing one? Do you look at a build system, a release pipeline, or a testing fleet and immediately see the three things held together with duct-tape, and the one architectural decision that would make all three unnecessary? We're looking for a senior engineer to invent, set, and construct the infrastructure and AI direction that enables us to create the software and firmware that drive the world's best GPUs. Join us, the GPU Firmware Infrastructure team, whose mission is crafting extraordinary automation, tools, and practices that accelerate NVIDIA's GPU innovation. We're responsible for the substrate: dev tools, build compute, test farms, artifact and release pipelines, secure signing services, and the observability that proves it all works. When our platforms are fast and trustworthy, every product ships faster! This is your chance to make waves in the industry while working alongside some of the most top-valued diverse set of minds in the business, building the best AI Supercomputers. If you're up for the task, we'd like to hear from you!

What you'll be doing:

• Set technical direction for major platform areas, leading the architecture, roadmap, and long-term health across multiple product cycles
• Design and lead infrastructure initiatives that span team boundaries, building alignment with firmware, hardware, and business partners
• Own platform reliability: define SLIs and SLOs, instrument what isn't measured today, cut MTTR, and automate the incident response when the platform breaks
• Find the automation opportunities nobody has asked for yet, make the case for it and deliver
• Architect and invent AI-powered workflows that multiply everyone's output
• Set the technical bar through design review, technical writing, and mentoring, so the team makes better decisions without you in the room

What we need to see:

• BS or MS degree in EE/CS/CE (or equivalent experience)
• 12+ years of infrastructure, platform, DevOps, or SRE engineering
• Deep expertise in modern CI/CD and test automation architecture: pipeline design, build system internals, caching, testing frameworks, and the failure modes for architectures that only appear at scale
• Strong Python fluency, infrastructure-as-code experience, and scripting ability
• History in distributed systems, cloud or on-prem compute fleets, containers, and orchestration (K8s or equivalent)
• Strong understanding of database concepts, schema design, object modeling, SQL or non-SQL
• Past ownership of cross-org production system(s) and all the lessons you've learned from supporting them
• Outstanding communication, leading, and teaching skills: the ability to articulate WHY a solution is correct, write clear requirements, review critically, and guide others to understanding
• History of growing other engineers, formally or informally

Ways to stand out from the crowd:

• Sense of humor heavily encouraged, but not required
• Track record of writing technical proposals, design docs, or architecture decisions that others have acted on independently
• Experience using AI-assisted development tools: knowing when to trust, when to verify, and when to throw away the output
• Experience in developing device BIOS, firmware, or other low-level embedded software
• Pride and passion evident in your work

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 8, 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.