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Senior Crowd Compute Jobs (NOW HIRING)

Nvidia

OR · On-site

$108K - $147K/yr

NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team ... 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

NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team ... Ways to stand out from crowd: * InfiniBand experience. * Experience with GPU (Graphics Processing ...

Nvidia

OR · On-site

We are seeking a highly technical Senior AI compute Engineer to serve as a forward-deployed ... Ways to Stand out from the crowd: * InfiniBand experience. * Experience with GPU (Graphics ...

Nvidia

OR · On-site

Collaborating with other specialists in compute hardware, software, and storage domains, you will ... Ways to stand out from the crowd: * Relevant vendor networking certifications : Hold relevant ...

Nvidia

Senior Deep Learning Engineer

Redmond, WA · On-site

$62 - $79.75/hr

... compute scaling. In this role, you will characterize these emerging workloads and develop novel ... Ways to Stand Out From the Crowd: * Published research or noteworthy contributions to the field of ...

Nvidia

Senior Deep Learning Engineer

Santa Clara, CA · On-site

$65 - $83.75/hr

... compute scaling. In this role, you will characterize these emerging workloads and develop novel ... Ways to Stand Out From the Crowd: * Published research or noteworthy contributions to the field of ...

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Senior Crowd Compute information

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$25K

$80.3K

$163.5K

How much do senior crowd compute jobs pay per year?

As of Jun 6, 2026, the average yearly pay for senior crowd compute in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

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.

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What cities are hiring for Senior Crowd Compute jobs? Cities with the most Senior Crowd Compute job openings:
What are the most commonly searched types of Crowd Compute jobs? The most popular types of Crowd Compute jobs are:
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Senior Crowd Compute jobs near you
Infographic showing various Senior Crowd Compute job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.
Senior AI Compute Engineer - NVIS

Senior AI Compute Engineer - NVIS

Nvidia

OR • On-site

$108K - $147K/yr

Full-time

Posted 8 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:

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

  • 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:

  • 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

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 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.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.
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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