Software Engineer, Workflow Systems

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 8 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $178k

$122k $230k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,400–$214,500.

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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 1531 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1104 roles with salary data.

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At a glance

TL;DR · Software Engineer, Workflow Systems

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Software Engineer, Workflow Systems joins the team responsible for coordinating long-running chip-design workflows, generated design files, shared compute, and dependencies across engineering teams. The role focuses on building software that makes these workflows repeatable, inspectable, and recoverable. Key responsibilities include developing workflow definitions, dependency models, and configuration models while implementing state management for worker coordination, cancellation, retries, and recovery. The engineer will integrate tools and schedulers through versioned interfaces and improve existing infrastructure. Required technical skills include proficiency in Go, Python, C++, Java, Rust, Perl, Tcl, Make, and shell. Candidates must demonstrate experience with build systems, job execution, or scientific infrastructure. The work involves solving complex problems related to process failure, concurrent activity, and managing persistent results within a chip-design environment.

What does a Software Engineer earn in California?

Median $214500 from 1178 postings across 77 companies.

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Skills

Go Python C++ Java Rust Perl Tcl Make Shell Build Systems HPC ML Infrastructure Linux EDA Tools RTL-to-GDS

What you'll do

Build workflow definitions, dependency models, and configuration models for chip-design engineering teams.
Implement workflow state management including worker coordination, cancellation, retries, and recovery.
Integrate tools and schedulers through versioned interfaces with explicit inputs, outputs, and resource needs.
Develop isolation and artifact publication systems to protect shared inputs and reject incomplete results.
Improve existing infrastructure using Python, Go, Perl, Tcl, Make, and shell scripts.
Partner with workflow owners to validate scenarios, reproduce failures, and support production adoption.
Review generated code and independently verify test results to own the behavior shipped to users.

What we're looking for

BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
4+ years of experience developing production software or equivalent demonstrated scope.
Strong programming skills in Go, Python, C++, Java, Rust, or other suitable languages.
Experience with workflows, build systems, job execution, release systems, scientific or ML infrastructure, or controllers.
Ability to demonstrate clear interfaces, state models, meaningful tests, and reasoned implementation tradeoffs.
Ability to reason about retries, concurrent activity, incomplete outputs, process failure, and safe changes to live systems.
Experience owning worker or scheduler integrations, workflow execution, isolation, or recovery mechanisms (preferred).
Prior chip-design experience (preferred).

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