NVIDIA Corporation

Senior Compute Platform Engineer, LSF 

NVIDIA Corporation$184K — $356K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Computer Science, Computer Engineering, or equivalent experience.
  • 8+ years in HPC or large-scale batch computing; 5+ years specifically with IBM Spectrum LSF.
  • Deep understanding of LSF internals, capable of debugging scheduler behavior beyond documentation.
  • Hands-on experience in MultiCluster environments in production.
  • Proficient in Linux systems fundamentals and programming/scripting with Python, Perl, and shell.

Responsibilities

  • Own scheduler behavior across 15–25 federated LSF cells; tune mbatchd and mbschd settings.
  • Diagnose MultiCluster forwarding issues, addressing reported performance slowdowns.
  • Design technical specifications for cell topology and federation as the compute farm expands.
  • Collaborate with an Infrastructure as Code engineer to create robust scheduler policies.
  • Work with CAD and methodology teams on complex workload management, including large memory jobs.

Benefits

  • Equity eligibility in addition to base salary.
  • Hybrid work model options available.
Full Job Description

NVIDIA's silicon does not tape out without the farm behind it. Our EDA compute environment runs millions of cores across federated LSF cells, and every simulation, synthesis run, and timing signoff on our roadmap passes through it. We are consolidating a dual-scheduler estate onto a single LSF platform, and we are looking for an engineer who knows LSF at the level of its internals — not just its configuration files.

This is a deep-specialist role. You will be the person the team escalates to when scheduling latency creeps up and nothing in the logs explains why.

What you'll be doing:

  • Owning scheduler behavior across 15–25 federated LSF cells, including mbatchd and mbschd tuning, scheduling cycle analysis, and the contention patterns that appear as cells approach host-count ceilings.

  • Diagnosing MultiCluster forwarding problems — remote queue sizing, forwarding policy, cross-cluster pend behavior — where the symptom reported by users is "the farm is slow" rather than a clear failure.

  • Setting the technical design for cell topology and federation as the farm grows, and deciding what belongs in a cell versus what belongs in a new one.

  • Working with our IaC engineer to encode scheduler policy into a config schema that survives contact with MultiCluster, rather than one that looks clean and breaks at scale.

  • Partnering directly with CAD and methodology teams on workloads that break normal assumptions: 500GB+ memory jobs, interactive-versus-batch contention, and tape-out crunch bursts.

What we need to see:

  • BS or MS in Computer Science, Computer Engineering, or equivalent experience.

  • 8+ years in HPC or large-scale batch compute, with 5+ years of that on IBM Spectrum LSF.

  • Demonstrated depth in LSF internals — you have debugged scheduler behavior beyond what the documentation covers, and you can explain a scheduling cycle from submission to dispatch.

  • Hands-on MultiCluster experience in a production, multi-site environment.

  • Strong Linux systems fundamentals, system programming languages and scripting in Python, Perl, and shell.

Ways to stand out from the crowd:

  • You have worked on LSF as a developer or in escalation engineering, rather than only as a consumer of it.

  • Experience with LSF integration points: esub, eexec, elim, submit wrappers, RTM, or the LSF APIs.

  • Background in semiconductor or EDA compute, where license constraints and job constraints compete.

  • You have migrated a production estate off Slurm, PBS, or Grid Engine without a scheduled outage users noticed.

#LI Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and .

Applications for this job will be accepted at least until August 24, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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