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Data Crowd Compute Jobs in California (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 ...

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Data Crowd Compute information

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.

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 most commonly searched types of Data Crowd Compute jobs in California? The most popular types of Data Crowd Compute jobs in California are:
What are popular job titles related to Data Crowd Compute jobs in California? For Data Crowd Compute jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Crowd Compute jobs in California look for? The top searched job categories for Data Crowd Compute jobs in California are:
What cities in California are hiring for Data Crowd Compute jobs? Cities in California with the most Data Crowd Compute job openings:
Data Crowd Compute jobs near you
Infographic showing various Data Crowd Compute job openings in California as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 8% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% 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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