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Crowd Compute Jobs (NOW HIRING)

Nvidia

Senior AI Compute Engineer - NVIS

Santa Clara, CA

$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

$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

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 · Hybrid

$134K - $180K/yr

Lead initiatives to architect and transform our global enterprise compute platform-running ... Ways To Stand Out From The Crowd: * Hands-on experience managing bleeding-edge, pre-release ...

Majestic Labs

AI SOC Architect

Los Altos, CA · On-site

Excellent analytical, problem-solving, and communication skills Ways to Stand Out from the Crowd * Experience designing custom RISC-V ISA extensions or AI-specific compute units. * * Hands-on work in ...

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How much do crowd compute jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for crowd compute in the United States is $20.95, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $23.08 per hour, depending on experience, location, and employer.

What is a Crowd Compute job?

A Crowd Compute job involves performing small, distributed tasks as part of a larger computing effort, often through crowdsourced platforms. These tasks can include data labeling, image recognition, content moderation, or AI training. Workers complete these microtasks remotely, usually requiring only an internet connection and basic skills. Many businesses and researchers use Crowd Compute to process large datasets efficiently and at scale.

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

To thrive in a Crowd Compute role, you need strong analytical skills, experience with large-scale data processing, and a background in computer science or a related field. Familiarity with distributed computing frameworks such as Apache Hadoop, Spark, or cloud computing platforms is often required, along with relevant certifications in data engineering or cloud technologies. Excellent teamwork, problem-solving ability, and clear communication are valuable soft skills for collaborating on complex, large-scale initiatives. These competencies ensure you can efficiently process massive datasets, contribute to streamlined workflows, and add value in dynamic, technology-driven environments.

What are the typical daily responsibilities for someone working in a Crowd Compute position?

As a Crowd Compute professional, your daily responsibilities often include designing and implementing distributed computing solutions, managing data pipelines, and optimizing large-scale workflow processes. You'll collaborate closely with data scientists, software engineers, and other IT stakeholders to ensure seamless data integration and high system performance. Monitoring workloads, troubleshooting issues in computing clusters, and staying updated with the latest advancements in distributed technology are also part of your routine. This role emphasizes both independent problem-solving and teamwork to maintain the efficiency and reliability of cloud-based data solutions.
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Crowd Compute jobs near you
Infographic showing various Crowd Compute job openings in the United States as of May 2026, with employment types broken down into 63% Full Time, 33% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $43,576 per year, or $20.9 per hour.
Senior AI Compute Engineer - NVIS

Senior AI Compute Engineer - NVIS

Nvidia Corporation

Santa Clara, CA • On-site

$127K - $173K/yr

Full-time

Posted 5 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.
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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

Year founded

1993

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