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Seasonal Data Crowd Compute Jobs (NOW HIRING)

Nvidia

Senior AI Compute Engineer - NVIS

Santa Clara, CA · On-site

$127K - $173K/yr

... data centers. Join the team building many of the largest and fastest AI Compute systems in the ... Ways to stand out from crowd: * InfiniBand experience. * Experience with GPU (Graphics Processing ...

Nvidia

Senior AI Compute Engineer - NVIS

Santa Clara, CA · On-site

$127K - $173K/yr

... data centers. Join the team building many of the largest and fastest AI Compute systems in the ... Ways to stand out from crowd: * InfiniBand experience. * Experience with GPU (Graphics Processing ...

Crowd Cow

Customer Care Specialist

Scranton, PA · On-site

$20 - $25/hr

Monday-Friday, 7am-3:30pm About Crowd Cow How many times in your career do you get the chance to ... You'll also play an active role in growing our seasonal gifting business -- helping guide customers ...

Nvidia Corporation

Data Center System Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

An MS degree or comparable experience is preferred Ways to stand out from the crowd: * Experience ... Familiarity with GPU compute and NVIDIA networking * Understanding of manufacturing operations ...

Nvidia

Data Center System Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

An MS degree or comparable experience is preferred Ways to stand out from the crowd: * Experience ... Familiarity with GPU compute and NVIDIA networking * Understanding of manufacturing operations ...

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Infographic showing various Seasonal Data Crowd Compute job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior AI Compute Engineer - NVIS

NVIDIA Gruppe

Santa Clara, CA • On-site

$148 - $287.50/hr

Other

Posted 2 days ago

New

Job description

NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer‑focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large‑scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation.

What you will be doing:
  • Deploying, managing, and validating AI Compute/HPC infrastructure in Linux‑based environments for new and existing customers.
  • Being the domain expert with customers during planning calls through implementation.
  • Providing hand‑over related documentation and performing knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world.
  • Providing feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
What we need to see:
  • 8+ years providing in‑depth support and deployment services; solving problems for hardware and software products.
  • Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network‑routing/advanced networking (tuning and monitoring).
  • Cluster management and provisioning technologies for bare‑metal servers (bonus credit for BCM (Base Command Manager)).
  • Minimum of a four‑year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.
  • Scripting proficiency (Bash, Python, Ansible, etc.).
  • Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
  • Strong organizational skills and ability to prioritize/multi‑task easily with limited supervision.
  • Experience with schedulers such as SLURM, LSF, UGE, etc.
  • An ability to travel to customer sites within the United States up to 20% of the time.
  • Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.
Ways to stand out from crowd:
  • InfiniBand experience.
  • Experience with GPU (Graphics Processing Unit) focused hardware/software.
  • Experience with MPI (Message Passing Interface).
  • Storage technologies such as Lustre or GPFS.
  • Familiarity with OEM GPU platforms.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $148,000 USD - $235,750 USD for Level 4, and $184,000 USD - $287,500 USD for Level 5. You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse 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.

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