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Crowd Compute Jobs (NOW HIRING)

Senior AI Compute Engineer - NVIS

$111K - $151K/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 ...

Senior AI Compute Engineer - NVIS

$111K - $151K/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 ...

Senior AI Compute Engineer - NVIS

Santa Clara, CA ยท 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 ...

Senior AI Compute Engineer - NVIS

Santa Clara, CA ยท 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 ...

$184 - $357/hr

Our EDA compute environment runs millions of cores across federated LSF cells, and every simulation ... Ways to stand out from the crowd: * You have worked on LSF as a developer or in escalation ...

New

Our EDA compute environment runs millions of cores across federated LSF cells, and every simulation ... Ways to stand out from the crowd: * You have worked on LSF as a developer or in escalation ...

$184 - $357/hr

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 ...

New

$184 - $357/hr

Ways to stand out from the crowd: * Direct experience with a dedicated license scheduling layer ... Our Compute Platform team in Santa Clara, CA drives this innovation through flawless license ...

New

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Crowd Compute information

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How much do crowd compute jobs pay per hour?

As of Aug 25, 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?

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 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.

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.

More about Crowd Compute jobs

What cities are hiring for Crowd Compute jobs?

Cities with the most Crowd Compute job openings:

What are the most commonly searched types of Crowd Compute jobs?

The most popular types of Crowd Compute jobs are:

What states have the most Crowd Compute jobs?

States with the most job openings for Crowd Compute jobs include:

Infographic showing various Crowd Compute job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $43,576 per year, or $20.9 per hour.

Senior AI Compute Engineer - NVIS

NVIDIA Gruppe

Santa Clara, CA โ€ข On-site

$148 - $287.50/hr

Other

Posted 19 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 customerโ€‘focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement largeโ€‘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 Linuxโ€‘based environments for new and existing customers.
  • Being the domain expert with customers during planning calls through implementation.
  • Providing handโ€‘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 inโ€‘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, networkโ€‘routing/advanced networking (tuning and monitoring).
  • Cluster management and provisioning technologies for bareโ€‘metal servers (bonus credit for BCM (Base Command Manager)).
  • Minimum of a fourโ€‘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/multiโ€‘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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