Full-Time

Senior Compute Platform Engineer

LSF, EDA Infrastructure

Updated on 9/10/2026

Deadline 9/13/26
NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$184k - $356.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Remote in USA + 1 more

More locations: Austin, TX, USA

Hybrid

Hybrid work is indicated for the Austin location.

Bachelor's, Master's

Category
DevOps & Infrastructure (1)
Required Skills
Bash
Python
High Performance Computing (HPC)
Infrastructure as Code (IaC)
Perl
Linux/Unix

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Requirements
  • A Bachelor of Science or Master of Science degree in Computer Science or Computer Engineering, or equivalent experience.
  • At least 8 years of experience in high-performance computing or large-scale batch compute, including at least 5 years working with IBM Spectrum LSF.
  • Demonstrated depth in LSF internals, including debugging scheduler behavior beyond the documentation and explaining a scheduling cycle from submission to dispatch.
  • Hands-on MultiCluster experience in a production, multi-site environment.
  • Strong Linux systems fundamentals and experience with system programming languages and scripting in Python, Perl, and shell.
Responsibilities
  • Own scheduler behavior across 15–25 federated LSF cells, including mbatchd and mbschd tuning, scheduling cycle analysis, and contention patterns near host-count ceilings.
  • Diagnose MultiCluster forwarding problems involving remote queue sizing, forwarding policy, and cross-cluster pending behavior.
  • Set the technical design for cell topology and federation as the farm grows, deciding what belongs in a cell versus a new cell.
  • Work with the infrastructure-as-code engineer to encode scheduler policy into a configuration schema that supports MultiCluster at scale.
  • Partner directly with computer-aided design and methodology teams on high-memory jobs, interactive-versus-batch contention, and tape-out crunch bursts.
Desired Qualifications
  • Experience working on LSF as a developer or in escalation engineering rather than only as a consumer.
  • Experience with LSF integration points including esub, eexec, elim, submit wrappers, RTM, or the LSF APIs.
  • Background in semiconductor or electronic design automation compute involving competing license and job constraints.
  • Experience migrating a production environment from Slurm, PBS, or Grid Engine without a noticeable scheduled outage.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • Amazon ordered 2 million GPUs for 2027-2028, validating hyperscaler demand.
  • August 2026 Lancium investment secured 4 GW leased capacity and 15 GW pipeline.
  • Blackwell Ultra and Vera Rubin shipments began; production ships in late 2026.

What critics are saying

  • Taiwan prosecutors indicted NVIDIA staff August 24, 2026 over illegal China server exports.
  • China’s antitrust probe still threatens fines, remedies, and slower mainland sales.
  • China export controls and ASIC substitution can cut NVIDIA off from a trillion-dollar market.

What makes NVIDIA unique

  • CUDA and NVLink lock developers into NVIDIA’s full-stack AI platform.
  • FY2026 revenue hit $215.9 billion, with data center revenue $193.7 billion.
  • Rubin launched February 2026, targeting 10x lower inference costs than Blackwell.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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Fortune
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