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Data Crowd Compute Jobs (NOW HIRING)

Nvidia

Senior AI Compute Engineer - NVIS

$111K - $151K/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

$111K - $151K/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 ...

Nvidia

Senior AI Compute Engineer - NVIS

Santa Clara, CA

$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 Corporation

$184 - $357/hr

Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are ... Ways to Stand out from the crowd: * InfiniBand experience. * Experience with GPU (Graphics ...

NVIDIA Corporation

$184 - $357/hr

Data proficiency in Python and SQL, with the ability to turn checkout logs into compelling ... Ways to stand out from the crowd: * Direct experience with a dedicated license scheduling layer ...

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Data Crowd Compute information

What is a Data Crowd Compute?

A Data Crowd Compute job involves distributing computational tasks across a large number of people or devices to process data efficiently. This type of work is often used in AI training, data annotation, or large-scale problem-solving. Workers contribute by performing small tasks that collectively build a larger solution. These jobs are common in machine learning, crowdsourcing, and distributed computing projects.

What are the typical challenges faced in a Data Crowd Compute position?

Professionals in Data Crowd Compute roles often handle vast volumes of data that require creative and efficient processing solutions, which can present scalability and performance challenges. Coordinating compute tasks across distributed environments demands attention to system reliability, cost optimization, and data integrity. Team members frequently collaborate with data scientists, engineers, and stakeholders to prioritize workloads and deliver timely results. Overcoming these challenges not only sharpens technical expertise but also positions you for advancement into senior or specialized technology roles.

What are the key skills and qualifications needed to thrive in the Data Crowd Compute position, and why are they important?

To thrive in a Data Crowd Compute role, you need a solid grounding in data analysis, familiarity with large-scale distributed computing, and a relevant technical degree or equivalent experience. Experience using cloud platforms like AWS, Azure, or Google Cloud, as well as tools such as Apache Hadoop or Spark, is highly valued. Strong problem-solving skills, attention to detail, and collaborative communication abilities help professionals excel in this position. These competencies are crucial for managing complex datasets, optimizing compute resources, and driving actionable insights within rapidly evolving data-driven environments.

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Data Crowd Compute jobs near you
Infographic showing various Data Crowd Compute job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior AI Compute Engineer - NVIS

Santa Clara, CA • On-site

NVIDIA Gruppe
Computer and Electronic Product Manufacturing • 10K+ employees

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

Great coworkers

People enjoy working here

Good employer

Learn more about NVIDIA Gruppeexternal

$148 - $287.50/hr

Other

Posted 22 days ago

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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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

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