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Crowd Compute Jobs (NOW HIRING)

Nvidia

Senior Product Quality Engineer

Santa Clara, CA

$103K - $140K/yr

This role will lead technical failure analysis for NVIDIA data center systems, compute trays, and ... Ways to stand out from the crowd: * Experience debugging high-power server or data center platforms ...

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 Debugger Software Engineer

Santa Clara, CA

$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.

Tanisha Systems, Inc.

Server Engineer

Santa Clara, CA · On-site

... the system (compute trays, switch trays, TOR switches, power shelves, etc.) ● Ability to run ... the crowd: ● Strong EE fundamentals, knowledgeable in digital design, signal integrity ...

Peabody Hotels & Resorts

HVAC/Engineering

Memphis, TN · On-site

Compute basic mathematical calculations (add, subtract, multiply and divide numbers in processing ... fire, crowd control, inclement weather, and bomb threats). * operate and control electrical ...

Nvidia

OR

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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How much do crowd compute jobs pay per hour?

As of Jul 15, 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.

More about Crowd Compute jobs
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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.
Principal System Software Engineer - AV Platform

Principal System Software Engineer - AV Platform

Nvidia

Santa Clara, CA

Full-time

Re-posted 18 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

NVIDIA is seeking a highly motivated Principal System Software Engineer to drive next-generation innovations in automotive platform software, system architecture, and performance engineering. In this highly visible technical leadership role, you will contribute directly to the architecture, development, optimization, and scaling of foundational software technologies powering NVIDIA automotive compute platforms.

You will work closely with hardware, architecture, kernel, AI, middleware, and platform teams to deliver high-performance, scalable, and safety-critical system software solutions. This role requires deep technical expertise, substantial proven hands-on engineering experience, and the ability to solve complex system-level challenges across the software stack.

What you'll be doing:

  • Drive system software architecture and technical direction for next-generation automotive compute platforms.

  • Lead performance optimization initiatives across CPU, GPU, memory, storage, networking, and platform subsystems.

  • Design, develop, debug, and optimize low-level system software including kernel, drivers, middleware, runtime frameworks, and platform services.

  • Collaborate closely with silicon, firmware, AI, and platform architecture teams to deliver optimized end-to-end solutions.

  • Analyze complex system bottlenecks and develop scalable solutions to improve performance, reliability, determinism, and efficiency.

  • Drive software bring-up, profiling, debugging, and performance tuning for new automotive platforms.

  • Contribute hands-on to critical software development, architecture reviews, debugging, and system optimization efforts.

  • Mentor engineers and help drive a culture of technical excellence, innovation, and execution.

What We Need to See:

  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).

  • 15+ years of substantial hands-on experience in systems software, embedded systems, platform software, kernel development, or performance engineering.

  • Deep expertise in Linux system internals, kernel architecture, device drivers, and low-level system software development.

  • Strong programming skills in C/C++ with experience in Python or scripting languages.

  • Proven experience debugging and optimizing complex distributed or heterogeneous computing systems.

  • Strong background in performance analysis and optimization across CPU, GPU, memory, storage, and interconnect subsystems.

  • Experience with embedded Linux, RTOS, virtualization technologies, or multi-core system architectures.

  • Demonstrated ability to lead technically while remaining deeply hands-on in development, debugging, and architecture activities.

  • Experience collaborating across hardware and software organizations in highly matrixed environments.

  • Strong communication, problem-solving, and technical leadership skills.

Ways to stand out from the crowd:

  • Experience with automotive software platforms, ADAS, or autonomous driving systems.

  • Familiarity with ISO 26262, AUTOSAR, ASPICE, or automotive cybersecurity frameworks.

  • Experience with GPU-accelerated computing and AI/ML software platforms.

  • Contributions to Linux kernel, open-source systems software, or performance tooling.

  • Experience building scalable software architectures for centralized vehicle compute 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 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 31, 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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