Senior Systems Software Engineer - Infrastructure

NVIDIA•Santa Clara, CA

1d•$224,000 - $356,500

About The Position

NVIDIA is hiring a senior engineer for its GPU Firmware Infrastructure team, which builds the automation, tools, and practices that support development of GPU software and firmware. The team’s infrastructure includes development tools, build compute, test farms, artifact and release pipelines, secure signing services, and observability. The role sets technical and AI direction for infrastructure that helps NVIDIA create software and firmware for its GPUs.

Requirements

BS or MS degree in EE, CS, or CE, or equivalent experience.
12+ years of infrastructure, platform, DevOps, or SRE engineering experience.
Deep expertise in modern CI/CD and test automation architecture, including pipeline design, build system internals, caching, testing frameworks, and architecture failure modes at scale.
Strong Python fluency, infrastructure-as-code experience, and scripting ability.
Experience with distributed systems, cloud or on-premises compute fleets, containers, and orchestration such as Kubernetes or equivalent.
Strong understanding of database concepts, schema design, object modeling, and SQL or non-SQL databases.
Past ownership of cross-organizational production systems and experience supporting them.
Outstanding communication, leadership, and teaching skills, including articulating rationale, writing clear requirements, critically reviewing work, and guiding others.
History of growing other engineers, formally or informally.

Nice To Haves

A sense of humor; encouraged but not required.
Track record of writing technical proposals, design documents, or architecture decisions that others have acted on independently.
Experience using AI-assisted development tools, including knowing when to trust, verify, or discard their output.
Experience developing device BIOS, firmware, or other low-level embedded software.
Pride and passion evident in work.

Responsibilities

Set technical direction for major platform areas, including architecture, roadmaps, and long-term health across multiple product cycles.
Design and lead infrastructure initiatives across teams, aligning firmware, hardware, and business partners.
Own platform reliability by defining SLIs and SLOs, adding instrumentation, reducing MTTR, and automating incident response.
Identify, advocate for, and deliver new automation opportunities.
Architect and develop AI-powered workflows to increase team output.
Set technical standards through design reviews, technical writing, and mentoring.