NVIDIA Logo

NVIDIA

Senior Compute Platform Engineer, LSF - EDA Infrastructure

Reposted 2 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in CA, USA
184K-357K Annually
Senior level
In-Office or Remote
Hiring Remotely in CA, USA
184K-357K Annually
Senior level
Own and optimize IBM Spectrum LSF scheduling across 15–25 federated cells. Diagnose scheduler latency, MultiCluster forwarding and cross-cluster contention, design scalable cell topology, and encode scheduler policy through infrastructure as code. Partner with CAD and methodology teams on large-scale EDA workloads, license constraints, and tape-out bursts. Requires deep LSF internals expertise, production MultiCluster experience, strong Linux fundamentals, and Python, Perl, and shell scripting skills.
The summary above was generated by AI

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 other objective job-related factors. The expected base salary ranges for this position are:
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 benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

An Hour Ago
Remote
United States
140K-170K Annually
Expert/Leader
140K-170K Annually
Expert/Leader
AdTech • Digital Media • Marketing Tech • Analytics
Leads Statara’s Data Products & Engineering department, setting technical direction, managing teams, and overseeing Snowflake-based data infrastructure. Shapes scalable adtech and customer data solutions, supports pre-sales and client discussions, guides architecture and validation, and aligns Product, Data Science, Engineering, and Business Development. The role balances platform reliability, data governance, product roadmaps, commercial opportunities, and the conversion of custom solutions into repeatable data products.
Top Skills: AlteryxAWSSnowflake
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
100K-166K Annually
Senior level
100K-166K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customer implementations of Samsara’s IoT platform, from deployment planning through adoption and value realization. Build launch roadmaps, track implementation and account health, train executives and end users, resolve challenges, and coordinate with Sales, Support, Sales Engineering, Product, and other teams. Mentor Customer Success and Support colleagues while managing multiple customer engagements and strengthening long-term customer relationships.
Top Skills: Enterprise SoftwareIotSaaS
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
109K-129K Annually
Junior
109K-129K Annually
Junior
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Serve as a technical sales expert for Samsara’s IoT platform, supporting discovery, demonstrations, value assessments, proof-of-concepts, deployment planning, and customer integrations. Explain complex solutions to nontechnical stakeholders, advise installers, write API automation scripts, translate customer feedback to product teams, and support strategic sales cycles. The role is remote in the U.S. West region and requires travel up to 50%.
Top Skills: AIAutomation And Control SystemsBashBusiness Systems IntegrationCan BusCloud InfrastructureCloud SoftwareCloud-Connected HardwareComputer NetworkingComputer VisionElectrical SystemsElectronicsIotJavaScriptOpen ApiPto ApplicationsPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account