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Parallel Jobs in Raleigh, NC (NOW HIRING)

Senior GPU Architect

Durham, NC

$125K - $170K/yr

A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly ...

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the ...

Playwright Automation Tester

Cary, NC · On-site

$95K - $115K/yr

Parallel Execution * Trace Viewer * Browser Context Management * Auto-Waiting Mechanisms * Network Mocking & Interception * Test Reporting and Analytics API & Service Testing * REST API Testing

Product Owner

Cary, NC · On-site

$100K - $120K/yr

... parallel initiatives/projects, requiring strong prioritization, tracking, and execution discipline • Maintain strong organization through structured tracking (status, risks, dependencies, and ...

Architect

Raleigh, NC · On-site

$118K - $219K/yr

Parallel and Distributed Processing Systems, Information Retrieval, Data Mining, Natural Language Processing, Very Large Scale Databases, Declarative Languages, and High-Performance Computing. Solid ...

Architect

Raleigh, NC · On-site

$118K - $219K/yr

Parallel and Distributed Processing Systems, Information Retrieval, Data Mining, Natural Language Processing, Very Large Scale Databases, Declarative Languages, and High-Performance Computing. Solid ...

Architect

Raleigh, NC

$118K - $219K/yr

Parallel and Distributed Processing Systems, Information Retrieval, Data Mining, Natural Language Processing, Very Large Scale Databases, Declarative Languages, and High-Performance Computing. Solid ...

Manage multiple priorities and advance several tasks in parallel Must be flexible to perform all the following functions and other tasks, as needed: * Ability to work with and troubleshoot complex ...

Algorithm design, parallel and distributed algorithm concepts. * Large-scale data analysis concepts. * Advanced programming concepts and data structures. * Operating system concepts supporting ...

Architect

Raleigh, NC · On-site

$118K - $219K/yr

Parallel and Distributed Processing Systems, Information Retrieval, Data Mining, Natural Language Processing, Very Large Scale Databases, Declarative Languages, and High-Performance Computing. • ...

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Parallel information

See Raleigh, NC salary details

$24.3K

$50.9K

$88K

How much do parallel jobs pay per year?

As of Aug 8, 2026, the average yearly pay for parallel in Raleigh, NC is $50,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,900.00 and $57,800.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in parallel computing roles, and how can they be addressed?

Professionals in parallel computing roles often encounter challenges such as debugging complex, concurrent code and optimizing performance across multiple processors. These issues require a solid understanding of parallel algorithms and experience with tools designed for performance profiling and debugging. Collaboration with team members is essential, as projects typically involve working closely with software engineers, system architects, and hardware specialists. To address these challenges, it's helpful to stay current with best practices, participate in code reviews, and leverage community resources and documentation.

What is the difference between Parallel vs Network Engineer?

AspectParallelNetwork Engineer
Required CertificationsCompTIA A+, Cisco CCNA, Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, server rooms, cloud environmentsCorporate offices, data centers, ISPs
Industry UsageIT, cloud services, data managementTelecommunications, IT, enterprise networks
Common Search/ComparisonParallel vs Network Engineer

Parallel and Network Engineer roles share similar certifications and work environments, often overlapping in IT and data management sectors. However, Parallel roles focus more on parallel processing and computing tasks, while Network Engineers specialize in designing and maintaining network infrastructure. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What is a parallel?

In the context of computing and technology, 'Parallel jobs' refer to tasks or processes that are executed simultaneously across multiple processors or computers. This approach is commonly used in high-performance computing (HPC), data processing, and scientific research to speed up complex computations by breaking them into smaller, concurrent tasks. Parallel jobs can significantly reduce the time required to process large datasets or perform intensive calculations. They are managed using parallel computing frameworks and often require specialized software and hardware to coordinate the execution of multiple processes. Understanding how to design and manage parallel jobs is essential for roles in data science, engineering, and research fields.

What skills and qualifications are needed to thrive as a parallel?

To thrive as a Parallel Computing Engineer, you need a strong background in computer science, mathematics, and parallel algorithms, often supported by a relevant degree. Proficiency with parallel programming languages (such as CUDA, OpenMP, or MPI), high-performance computing (HPC) clusters, and debugging tools is essential. Strong analytical thinking, collaborative teamwork, and effective problem-solving skills help you stand out in this field. These skills are vital for optimizing computational processes and ensuring efficient, scalable solutions in complex computing environments.
What cities near Raleigh, NC are hiring for Parallel jobs? Cities near Raleigh, NC with the most Parallel job openings:
Infographic showing various Parallel job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $50,895 per year, or $24.5 per hour.

$125K - $170K/yr

Full-time

Re-posted 26 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

We are now looking for a Senior GPU Architect!

The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in graphics features, graphics performance, parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators and infrastructure to design and validate these new features.

What you'll be doing:

  • Design new hardware features for future graphics and parallel processing architectures.

  • Develop or enhance graphics or parallel processing algorithms and advance the state of parallel computation.

  • Be knowledgeable about future parallel programming models and their impact to hardware.

  • Develop software for various hardware simulators, test infrastructures or metrics systems including databases.

  • Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.

  • Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures

  • Be hungry to learn and work on simulators, RTL and real silicon.

What we need to see:

  • MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.

  • 8+ years of relevant industry experience in GPU or CPU architecture (or other equivalent experience).

  • Strong programming ability inC, C++, Perl andPython.

  • Background in computer architecture, graphics algorithms, parallel processing, signal processing and/or high performance computing.

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, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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 April 4, 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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