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Senior Crowd Compute Jobs in Texas (NOW HIRING)

Senior HPC and LSF Operations Engineer

Austin, TX · Hybrid

$103K - $141K/yr

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support ... the crowd: Experience implementing reliability engineering practices within HPC scheduling ...

Senior HPC and LSF Operations Engineer

Austin, TX · Hybrid

$103K - $141K/yr

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support ... crowd: * Experience implementing reliability engineering practices within HPC scheduling ...

... Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by ... Ways to stand out from the crowd: * Experience in Programming Languages design and drafting ...

... Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by ... Ways to stand out from the crowd: Experience in Programming Languages design and drafting ...

Senior GPU PCIe and Boot Architect

Austin, TX · Hybrid

$128K - $174K/yr

What we need to see: * BS or MS in compute architecture, Computer Science, or Electrical ... out from the crowd: * Knowledge of Advanced interconnects (PCIe, AXI, nvlink, or similar)

Senior GPU PCIe and Boot Architect

Austin, TX · Hybrid

$128K - $174K/yr

What we need to see: BS or MS in compute architecture, Computer Science, or Electrical Engineering ... crowd: Knowledge of Advanced interconnects (PCIe, AXI, nvlink, or similar) Experience with ...

Senior Solution Engineer, Compute Systems

Austin, TX · On-site

$54.75 - $70.50/hr

Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers Proficient in Python programming with the ability to build custom tools Ways to stand out from the crowd: Background ...

Senior HPC Cluster Engineer

Austin, TX

$103K - $142K/yr

Minimum of 5 years of proven experience crafting and operating large scale compute infrastructure ... Ways to stand out from the crowd: * Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf ...

Senior HPC Cluster Engineer

Austin, TX

$103K - $142K/yr

Minimum of 5 years of proven experience crafting and operating large scale compute infrastructure ... Ways to stand out from the crowd: Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf ...

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Senior Crowd Compute information

What is the difference between Senior Crowd Compute vs Data Labeler?

AspectSenior Crowd ComputeData Labeler
Required CredentialsExperience in crowdsourcing platforms, basic technical skillsBasic computer skills, attention to detail
Work EnvironmentRemote, collaborative, project-basedRemote or on-site, task-specific
Employer & Industry UsageTech companies, AI/ML projectsAI/ML, data annotation firms
Common Search & ComparisonOften compared for roles in crowdsourcing and data annotationEntry-level data annotation roles

Senior Crowd Compute professionals oversee large-scale data collection and manage crowdsourcing projects, requiring experience with platforms and technical skills. Data Labelers perform specific annotation tasks, focusing on accuracy and attention to detail. While both roles are integral to AI/ML data pipelines, Senior Crowd Compute roles involve higher-level project management and strategic oversight, whereas Data Labelers focus on task execution.

What job categories do people searching Senior Crowd Compute jobs in Texas look for?

The top searched job categories for Senior Crowd Compute jobs in Texas are:

What cities in Texas are hiring for Senior Crowd Compute jobs?

Cities in Texas with the most Senior Crowd Compute job openings:

Senior Compute Platform Engineer, LSF

Nvidia

Austin, TX • Hybrid

Full-time

Posted 9 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


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 benefits.

Applications for this job will be accepted at least until September 2, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US