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Crowd Compute Jobs (NOW HIRING)

OR ยท 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 ...

OR ยท On-site

$63 - $83/hr

... crowd: * Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.

Solutions Architect - OEM AI

Santa Clara, CA ยท On-site

$74 - $97.50/hr

... crowd: * Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.

Solutions Architect, OEM AI

Santa Clara, CA ยท On-site

$74 - $97.50/hr

... crowd: * Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.

Solutions Architect - OEM AI

Santa Clara, CA ยท On-site

$73.50 - $96.75/hr

... crowd: * Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.

OR ยท On-site

You will profile workloads, identify bottlenecks across GPU compute, NVLink, memory, and host ... Ways to stand out from the crowd: * Experience optimizing LLM training or inference on multi-GPU ...

OR ยท On-site

$63 - $83/hr

... crowd: * Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.

Solutions Architect, OEM AI

Santa Clara, CA ยท On-site

$73.50 - $96.75/hr

... crowd: * Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.

OR ยท On-site

$63 - $83/hr

... compute planning for robotics, autonomy workloads. * Excellent communication skills and the ability to act as a deep technical advisor to partners and customers. Ways to stand out from the crowd:

Senior Deep Learning Engineer

Redmond, WA ยท On-site

$62 - $79.75/hr

Ways to Stand Out From the Crowd: * Published research or noteworthy contributions to the field of deep learning, particularly in areassuch as inference-time compute, multimodal generation, AI ...

Ways to Stand Out From the Crowd: * Published research or noteworthy contributions to the field of deep learning, particularly in areassuch as inference-time compute, multimodal generation, AI ...

Senior Deep Learning Engineer

Redmond, WA ยท On-site

$62 - $79.75/hr

Ways to Stand Out From the Crowd: * Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, multimodal generation, AI ...

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Crowd Compute information

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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.
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 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 Solutions Architect - Enterprise AI

Senior Solutions Architect - Enterprise AI

Nvidia

OR โ€ข On-site

Full-time

Posted 7 days ago


Job description

We are now looking for a Senior Solution Network Architect, Enterprise Products! Join the NVIDIA Solution Architect to support Enterprise Products team as a Senior Network Architect, where your passion and expertise in networking, compute hardware, storage, and cloud-native software will be pivotal. We are on the lookout for a multifaceted professional with a profound understanding of large network design, distributed systems, and datacenter architecture. As a key member of our team, you will engage in a collaborative, multi-disciplinary approach to craft scalable datacenter implementations for enterprise-grade AI systems.

Your role involves translating high-level goals into detailed specifications for platforms and datacenter architectures, leading to the development of robust implementations. Collaborating with other specialists in compute hardware, software, and storage domains, you will be developing, validating, and profiling reference cluster designs specifically tailored for enterprise datacenter environments. At the core of our mission is the building and validation of on-prem cloud-ready solutions that seamlessly interoperate across various cloud service providers (CSPs), enabling the realization of hybrid enterprise AI solutions. If you are ready to embark on a journey that combines innovation, collaboration, and groundbreaking technology, then this opportunity is tailored for you.

What you'll be doing:

  • Own the creation of scalable datacenter solutions for enterprise AI/ML systems

  • Craft detailed requirements for pioneering infrastructure patterns and datacenter wide architectures

  • Create and validate cluster designs, optimizing them for enterprise facilities

  • Collaborate closely with other experts in compute, software, and storage to drive innovation

  • Lead multi-disciplinary projects, addressing high-level goals and complex challenges

  • Engineer on-premises cloud-native solutions that flawlessly integrate with diverse cloud providers

  • Assume a pivotal role for the compute and hardware architecture domain, driving expertise and excellence

  • Showcase a multidisciplinary understanding of Ethernet, InfiniBand, data center LAN (local area networking), WAN (wide area networking), WiFi, and SD (software-defined) networks

  • Conduct TCO analysis, optimizing datacenter efficiency for cost-effectiveness

What we need to see:

  • Bachelor's degree or equivalent experience

  • 8-10 years+ years hardware or infrastructure architecture experience

  • Cluster Design Proficiency: Expertise in architecting cluster designs for on-prem cloud-native platforms

  • Architectural Design Skills: Domain proficiency in advanced networking emphasizing scalability, portability, security and resilience

  • Network Evaluation Expertise: Ability to evaluate diverse networks, capturing differences and conducting research on their behavior under varied workloads

  • Cloud-Native Knowledge: Possess a deep understanding of cloud-native architecture concepts and practices, especially for high availability, scalability, resilience, performance, and security in the compute domain

  • Networking Patterns Mastery: Understand and apply networking patterns at a chassis, rack, cluster and data center level in designing reference architectures

  • Effective Communication: Talent in presenting technical concepts optimally through strong written and oral skills to both technical and non-technical audiences

  • Technical Leadership in Cluster Design: Leadership in designing clusters with a technical emphasis on networking setup, network management solutions, and network specific security and remote access technologies and approaches.

  • System-Level Thinking: Demonstrate a comprehensive grasp of network design, and its impact on improving the overall quality of cluster reference designs.

Ways to stand out from the crowd:

  • Relevant vendor networking certifications : Hold relevant certifications such as Cisco certified, Arista Cloud Engineer (ACE) or Juniper Networks certifications

  • Wider Infrastructure Expertise: Demonstrate wider experience beyond Networking in Compute, Storage, Infrastructure, Platform Sizing, and Infrastructure Cost Reduction for a broad approach to system architecture

  • TCO Analysis Skills: Exhibit skills in Total Cost of Ownership (TCO) analysis specifically focused on datacenter architectures to optimize resource utilization and efficiency

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers! NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people on the planet 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 1, 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