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Senior Crowd Compute Jobs (NOW HIRING)

Nvidia

Senior AI and ML HPC Cluster Engineer

Austin, TX

$103K - $142K/yr

As an expert, you will help us with the strategic challenges we encounter including: compute ... Ways to stand out from the crowd: * Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf ...

Nvidia

Senior AI and ML HPC Cluster Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

As an expert, you will help us with the strategic challenges we encounter including: compute ... Ways to stand out from the crowd: * Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf ...

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

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

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 Supplier Quality Engineer

Dallas, TX · On-site

... compute system manufacturing for datacenter/server/storage applications with a shown ability to ... Ways to stand out from the crowd: * Thrive in a fast moving, daring and highly multi-functional ...

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All JobsSenior Crowd Compute Jobs

Senior Crowd Compute information

See salary details

$25K

$80.3K

$163.5K

How much do senior crowd compute jobs pay per year?

As of Jun 30, 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.

What jobs make 10000 a month without a degree?

Senior Crowd Compute roles typically do not pay $10,000 a month without specialized skills or extensive experience. High-paying jobs that can reach this level without a degree often include sales, real estate, or entrepreneurship, but they usually require strong networks, skills, or certifications rather than formal education. Most roles with such income levels emphasize performance, expertise, or business acumen over formal degrees.

What jobs pay 2000 a day?

Senior Crowd Compute roles typically do not pay $2000 a day; such high daily rates are more common in specialized consulting, executive positions, or freelance work in fields like software development, finance, or consulting. These roles often require advanced skills, certifications, or extensive experience, and compensation can vary based on project scope and client budgets.

Which 3 jobs will survive AI?

Senior Crowd Compute roles involve managing human-in-the-loop tasks that AI cannot fully automate, such as complex problem-solving, creative work, and tasks requiring nuanced judgment. Jobs that require emotional intelligence, critical thinking, and adaptability are more likely to persist alongside AI advancements. Skills in overseeing AI systems and understanding data annotation also provide job security in this field.

What kind of job is good for a 60 year old?

A senior crowd compute role involves managing and coordinating online tasks that can often be performed remotely and with flexible hours, making it suitable for older workers. Such jobs typically require basic computer skills and attention to detail, and they can provide a steady income without physical strain. Experience and reliability are valued in these roles, which often do not require extensive physical activity or rapid pace.
More about Senior Crowd Compute jobs
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:
What states have the most Senior Crowd Compute jobs? States with the most job openings for Senior Crowd Compute jobs include:
What job categories do people searching Senior Crowd Compute jobs look for? The top searched job categories for Senior Crowd Compute jobs are:
Senior Crowd Compute jobs near you
Infographic showing various Senior Crowd Compute job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 66% Full Time, 22% Part Time, 4% Contract, and 4% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.
Senior AI Performance and Efficiency Engineer

Senior AI Performance and Efficiency Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Posted 24 days ago

Job description

We are seeking a Senior AI/ML Performance and Efficiency Engineer, GPU Clusters at NVIDIA to join our AI Efficiency efforts. As an Engineer, you will have a pivotal role in enhancing efficiency for our researchers by implementing progressions throughout the entire stack. Your main task will revolve around collaborating closely with customers to pinpoint and address infrastructure and application deficiencies, facilitating groundbreaking AI and ML research on GPU Clusters. Together, we can craft potent, effective, and scalable solutions as we mold the future of AI/ML technology!
What you will be doing:
  • Collaborate closely with our AI/ML researchers to make their ML models more efficient leading to significant productivity improvements and cost savings
  • Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements for our researchers
  • Work with researchers working on a variety of innovative ML workloads across Robotics, Autonomous vehicles, LLM's, Videos and more
  • Collaborate across the engineering organizations to deliver efficiency in our usage of hardware, software, and infrastructure
  • Proactively monitor fleet wide utilization patterns, analyze existing inefficiency patterns, or discover new patterns, and deliver scalable solutions to solve them
  • Keep up to date with the most recent developments in AI/ML technologies, frameworks, and successful strategies, and advocate for their integration within the organization.

What we need to see:
  • BS or similar background in Computer Science or related area (or equivalent experience)
  • Minimum 5+ years of experience designing and operating large scale compute infrastructure
  • Strong understanding of modern ML techniques and tools
  • Experience investigating, and resolving, training & inference performance end to end
  • Debugging and optimization experience with NSight Systems and NSight Compute
  • Experience with debugging large-scale distributed training using NCCL
  • Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms.
  • Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector.
  • Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds

Ways to stand out from the crowd:
  • Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking
  • Experience with Machine Learning and Deep Learning concepts, algorithms and models
  • Familiarity with InfiniBand with IBOP and RDMA
  • Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads
  • Familiarity with deep learning frameworks like PyTorch and TensorFlow

NVIDIA offers competitive salaries and a comprehensive benefits package. Our engineering teams are growing rapidly due to outstanding expansion. If you're a passionate and independent engineer with a love for technology, 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 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 23, 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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