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Senior Crowd Compute Jobs (NOW HIRING)

Nvidia

Senior Debugger Software Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

We are looking for a senior software engineer to join our efforts to advance our compute debugger ... Ways to stand out from the crowd: * Expert knowledge in GPU architectures and GPU programming.

Nvidia

Senior DevOps Engineer - Robotics

Santa Clara, CA · On-site

$152K - $196K/yr

Practical experience using AWS or similar cloud platforms to support CI or compute workloads ... Ways to Stand Out from the Crowd: * Proven experience working with ROS 2, and ideally direct ...

Nvidia

OR · On-site

You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring ... Ways to stand out from the crowd: * Deep Learning framework skills. * Exposure to using and ...

Nvidia

You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring ... Ways to stand out from the crowd: * Deep Learning framework skills. * Exposure to using and ...

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All JobsSenior Crowd Compute Jobs

Senior Crowd Compute information

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$25K

$80.3K

$163.5K

How much do senior crowd compute jobs pay per year?

As of Jun 29, 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 Debugger Software Engineer

Senior Debugger Software Engineer

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 18 days ago

Job description

Join the NVIDIA Developer Tools team and empower engineers throughout the world developing groundbreaking products in Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers use your products to debug, profile and analyze the performance of their systems/applications. Watch with satisfaction as 3rd-party developers use the debug API that you helped develop to create custom debug tools to tackle complex customer debugging problems. Innovate as you develop the debug and performance analysis capability of future generations of NVIDIA GPUs. Be a part of the team that brings new GPU technologies to market with sophisticated simulation/emulation systems and be among the first to breathe life into new silicon.

We are looking for a senior software engineer to join our efforts to advance our compute debugger products to the next level. The position will be part of a dynamic, worldwide team that develops and maintains and enhances a portfolio of debug tools and libraries that are hosted and targeting OSes including Windows, Linux, and other embedded system real time OSes (RTOS).

What you'll be doing:

You will apply your knowledge of debuggers, binary instrumentation and computer architecture to enhance existing compute debugger tools and libraries, and extend them to new use cases. You should be comfortable working in C, C++, Python and assembly on a wide range of supported platforms: Windows, Linux, and embedded real time OSes. You should also be comfortable interacting with different development teams, and have an eagerness to learn about new compute and graphics drivers, GPU architectures and operating systems. You will:

  • Architect, design, and implement solutions to integrate new debugger features into existing NVIDIA developer tools products.

  • Collaborate closely with research, libraries, and product teams at NVIDIA to identify debugger features that can effectively improve developer productivity and efficiency.

  • Document requirements and designs, and review documents with teams throughout NVIDIA.

  • Develop the compute debugger tools for GPUs running on Linux, Windows, and embedded operating systems.

  • Effectively estimate and prioritize tasks in order to create realistic delivery schedules.

  • Provide peer reviews to other engineers, including feedback on performance, scalability and correctness.

  • Mentor junior engineers.

What we need to see:

  • 8+ years of experience

  • BS or MS in Computer Science or equivalent experience

  • Strong computer science fundamentals - algorithms and data structures, programming languages, parallel computing, and system software.

  • Strong programming ability in C, C++, Assembly Language and scripting languages

  • Excellent knowledge of computer architecture

  • Ability to self-manage, communicate, and adapt in a fast paced, high demand environment with changing priorities and direction

  • Excellent communication and interpersonal skills along with the ability to work in a dynamic and distributed team.

Ways to stand out from the crowd:

  • Expert knowledge in GPU architectures and GPU programming.

  • Knowledge of CUDA programming

  • Experience and/or interests in creating developer tools like debuggers and profilers.

  • Masters or PhD in Computer Science, Mathematics, or related engineering fields.

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, driven, and passionate about software tools, 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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 14, 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

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