System Software Engineer, Distributed Systems

Nvidia

Actively hiring
Santa Clara, CA Posted 64 days ago $152,000–$241,500 / year
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At a glance

AI generated

TL;DR

The VLSI Productivity and Infrastructure team seeks a versatile systems engineer to support over 1000 chip design engineers by building robust, long-shelf-life tools on bare-metal Linux hosts. This role involves designing and delivering core components of next-generation productivity platforms, developing reliable userspace infrastructure for large-scale engineering workflows, and enhancing orchestration around IBM LSF. Key responsibilities include state coordination via NFS without privileged operations, converting legacy codebases to modern languages like Go through incremental migration, and improving performance and reliability across Linux and Kubernetes environments. The ideal candidate has 5+ years of experience in production software development with a strong background in distributed systems, Linux fundamentals, and operational excellence, along with hands-on experience in shared filesystems at scale and batch job scheduling.

Skills

Go Python Linux NFS IBM LSF Docker Kubernetes Perl CI/CD Prometheus Grafana Git Bash SQL Redis Zookeeper Consul Elasticsearch Jenkins Ansible Terraform AWS Google Cloud Platform Azure

What you'll do

  • Design and deliver core components for next-generation productivity platforms.
  • Develop reliable userspace infrastructure for long-running workflows on bare-metal Linux.
  • Build state coordination over NFS with atomicity, idempotency, and partial-write recovery.
  • Enhance orchestration around IBM LSF for submission, tracking, retries, and log capture.
  • Convert legacy codebases incrementally into modern systems using Go, ensuring observability.
  • Debug and improve performance and reliability across Linux and Kubernetes environments.
  • Translate high-level goals into safe delivery plans with instrumentation and staged rollouts.

What we're looking for

  • B.S. in Computer Science or Electrical Engineering (or equivalent experience)
  • 5+ years developing and operating production software in Go and/or Python
  • Strong Linux fundamentals including processes, filesystems, permissions, concurrency
  • Experience building long-runtime automation on shared compute clusters
  • Solid distributed-systems thinking with focus on failures and operational rigor
  • Ability to translate high-level goals into a safe delivery plan with measurable outcomes
  • Hands-on experience with shared filesystems at scale (NFS) and batch job scheduling

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $197k
$111k most similar roles pay here $255k

This role pays more than 65% of similar roles. Most pay $142,400–$214,500 — the shaded band above. At the midpoint, this role pays about $197k versus about $178k 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 824 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 812 roles with salary data.

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