Senior Systems Software Engineer, Infrastructure

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$224,000–$356,500 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k
This role $290k
$91k $385k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $144,350–$187,025 — the blue band above. At the midpoint, this role pays about $290k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Systems Software Engineer, Infrastructure

The Senior Systems Software Engineer - Infrastructure joins the GPU Firmware Infrastructure team to invent and construct the infrastructure and AI direction for software and firmware development. This role involves setting technical direction for major platform areas, leading architecture, and owning platform reliability by defining SLIs and SLOs. You will build dev tools, build compute, test farms, artifact and release pipelines, secure signing services, and observability systems. Key responsibilities include designing infrastructure initiatives across team boundaries and inventing AI-powered workflows. Required expertise includes modern CI/CD, test automation architecture, distributed systems, containers, and orchestration like K8s. Candidates need strong Python fluency, infrastructure-as-code experience, and database knowledge. The work focuses on creating the substrate for GPU innovation, ensuring fast and trustworthy platforms for AI supercomputers.

What you'll do

  • Set the technical direction, architecture, and roadmap for major platform areas across multiple product cycles.
  • Design and lead cross-functional infrastructure initiatives to align firmware, hardware, and business partners.
  • Own platform reliability by defining SLIs/SLOs, improving observability, and automating incident response.
  • Identify and implement proactive automation opportunities to streamline development and production workflows.
  • Architect and invent AI-powered workflows to multiply the output of the engineering team.
  • Establish technical standards through design reviews, technical writing, and mentoring other engineers.
  • Manage critical infrastructure components including build systems, test farms, release pipelines, and secure signing services.

What we're looking for

  • BS or MS degree in EE, CS, or CE (or equivalent experience).
  • 12+ years of experience in infrastructure, platform, DevOps, or SRE engineering.
  • Deep expertise in modern CI/CD and test automation architecture including pipeline design and build system internals.
  • Strong Python fluency, scripting ability, and experience with infrastructure-as-code.
  • Experience with distributed systems, cloud or on-prem compute fleets, containers, and orchestration like K8s.
  • Strong understanding of database concepts, schema design, object modeling, and SQL/non-SQL.
  • Proven track record of owning cross-org production systems and mentoring other engineers.
  • Outstanding communication skills to write clear requirements and technical documentation.

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