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Crowd Compute Jobs (NOW HIRING)

Nvidia

Senior HPC and LSF Operations Engineer

Austin, TX · Hybrid

$103K - $141K/yr

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support ... crowd: * Experience implementing reliability engineering practices within HPC scheduling ...

Nvidia

Senior HPC and LSF Operations Engineer

Durham, NC · Hybrid

$101K - $138K/yr

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support ... crowd: * Experience implementing reliability engineering practices within HPC scheduling ...

Nvidia

Senior HPC and LSF Operations Engineer

Westford, MA · Hybrid

$108K - $148K/yr

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support ... crowd: * Experience implementing reliability engineering practices within HPC scheduling ...

Nvidia

We are seeking a motivated Senior HPC Support Engineer - Compute/GPU (DGX Platform) passionate ... Ways to stand out from the crowd: * Knowledge and working experience with InfiniBand, RDMA/RoCEv2 ...

Nvidia Corporation

Senior Deep Learning Engineer

Redmond, WA · 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 ...

Nvidia

Senior Deep Learning Engineer

Santa Clara, CA · On-site

$65 - $83.75/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 ...

Nvidia

Senior Deep Learning Engineer

Redmond, WA · 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 ...

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How much do crowd compute jobs pay per hour?

As of Jul 16, 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 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 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 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 July 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $43,576 per year, or $20.9 per hour.
Senior HPC and LSF Operations Engineer

Senior HPC and LSF Operations Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $167K/yr

Full-time

Re-posted 7 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. Success in this role requires both operational precision along with developing and supporting forward-looking resource management solutions that address evolving compute demands. Beyond day-to-day operations, the role drives improvements in observability, service reliability, and automation, ensuring the EDA compute environment remains resilient, measurable, and aligned with long-term engineering demands.
What you'll be doing:
  • Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads
  • Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time
  • Lead problem solving across scheduler, OS, and workload layers, ensuring timely resolution of service-impacting issues
  • Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents
  • Help define and track reliable metrics and SLOs for service performance and reliability, partnering with customers to ensure expectations are realistic and measurable
  • Contribute to operational standards, documentation, and best practices to improve consistency across sites
  • Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure

What we need to see:
  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • Minimum 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure
  • Strong hands-on experience supporting and tuning job scheduling systems (LSF, Slurm, etc.) in HPC or silicon design environments
  • Proficiency in Linux systems administration (CentOS/RHEL)
  • Strong problem solving skills and the ability to independently analyze complex system behavior under load
  • Clear and effective communication skills, including the ability to articulate technical tradeoffs and reliability metrics to engineering stakeholders

Ways to stand out from the crowd:
  • Experience implementing reliability engineering practices within HPC scheduling environments
  • Deep knowledge of job scheduling systems (LSF, Slurm, etc.) configuration tuning, scheduler internals, and advanced troubleshooting techniques
  • Experience building or enhancing observability systems, including metrics collection, monitoring pipelines, alerting strategies, and performance dashboards
  • Background with container technologies such as Docker, Singularity, or Podman in HPC environments
  • Experience influencing adoption of new infrastructure standards across multiple teams or sites

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 15, 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.

What Nvidia employees say

Hours and flexibility

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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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