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Data Crowd Compute Jobs in California (NOW HIRING)

Nvidia

AI Compute Engineer - NVIS

Santa Clara, CA · On-site

$126K - $165K/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 and/or high speed Ethernetand RoCE experience.

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 ...

Apple

ML Data Program Manager, MLO

Cupertino, CA

$141K - $258K/yr

... crowd Drive enhancements of data operations (increase scalability, diversity and quality, reduce ... compute metrics and explore use of workflows combining ML and human inputs Self-starter, able to ...

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Data Crowd Compute information

What is the highest paid job in data science?

In data science, the highest paid roles are typically senior positions such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer, with salaries often exceeding $150,000 annually depending on experience, industry, and location. These roles require advanced skills in machine learning, statistical analysis, and leadership, often complemented by advanced degrees and certifications.

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.

Are data centers taking jobs?

Data centers themselves do not take jobs; rather, they provide infrastructure that supports various IT and technical roles. Jobs related to data centers include network administrators, technicians, and security specialists, often requiring technical skills and certifications. Employment in this sector depends on industry demand and company needs.

What is the highest paying data entry job?

The highest paying data entry jobs typically involve specialized roles such as medical or legal transcription, which require additional skills and certifications. These positions can offer higher hourly rates or salaries compared to standard data entry roles, especially when performed with advanced software or in niche industries.

Which 3 jobs will survive AI?

Data Crowd Compute roles, which involve labeling and validating data for AI training, are likely to persist as they require human judgment and oversight. Jobs in healthcare, such as nurses and medical technicians, will continue due to the need for empathy and complex decision-making. Additionally, skilled trades like electricians and plumbers are less susceptible to automation because of the physical and problem-solving skills involved.

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 job?

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
AI Compute Engineer - NVIS

AI Compute Engineer - NVIS

Nvidia

Santa Clara, CA • On-site

$126K - $165K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

NVIDIA is looking for an 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!

We are 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:

  • Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based customer environments.

  • Be the domain expert with customers during planning calls through implementation.

  • Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!

  • Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

  • 4+ 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 cluster management tools such as SLURM, Kubernetes, LSF, 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.

Ways to stand out from crowd:

  • InfiniBand and/or high speed Ethernetand RoCE 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

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 92,000 USD - 155,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 19, 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.
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

Year founded

1993

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