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Cuda Engineer Jobs in Raleigh, NC (NOW HIRING)

Teledyne FLIR LLC

Research Scientist

Durham, NC · On-site

Experience with CUDA and GPU programming (strongly desired) * Excellent communication, writing, and interpersonal skills * U.S. Citizenship and the ability to obtain a security clearance What We ...

Teledyne

Research Scientist

Durham, NC

Experience with CUDA and GPU programming (strongly desired) * Excellent communication, writing, and interpersonal skills * U.S. Citizenship and the ability to obtain a security clearance What We ...

Nvidia

Senior GPU Memory Architect

Durham, NC · On-site

NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the ...

Nvidia

Senior System Simulation Architect

Durham, NC

Support CPU architects and performance engineers in their use of functional models, performance ... Familiarity with CUDA * Experience with CPU/GPU application development and optimization in Pytorch ...

SAS

Data Scientist (Emerging Careers)

Cary, NC · On-site

Partner with our engineering and product management teams to refine SAS model offerings. * Foster ... Experience in deployment using Nvidia CUDA Toolkit * Experience with containers and Kubernetes

SAS

Data Scientist (Emerging Careers)

Cary, NC · Hybrid

Partner with our engineering and product management teams to refine SAS model offerings. * Foster ... Experience in deployment using Nvidia CUDA Toolkit * Experience with containers and Kubernetes

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Cuda Engineer information

See Raleigh, NC salary details

$35.5K

$104.3K

$133.7K

How much do cuda engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for cuda engineer in Raleigh, NC is $104,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

How much do Cuda engineers make?

Cuda engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and parallel computing tend to have higher salaries. Certifications and a strong understanding of CUDA tools can also influence compensation.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly valued by employers across technology, research, and industry sectors.
What are popular job titles related to Cuda Engineer jobs in Raleigh, NC? For Cuda Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer jobs in Raleigh, NC look for? The top searched job categories for Cuda Engineer jobs in Raleigh, NC are:
Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $104,286 per year, or $50.1 per hour.

Senior Solution Engineer for NVIDIA Experience, Compute Software

Nvidia

Durham, NC

$53.50 - $68.75/hr

Full-time

Posted 22 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

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

The NVIDIA Experience (NVEX) Solutions Engineering team is looking for an experienced software engineer focused on customer support of NVIDIA products including AI Enterprise, Omniverse and vGPU! Your will apply the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted. You must have excellent problem-solving abilities and communication skills and be able to chip in to multiple projects and tasks. This position is for a software engineer who will work with their team on creative solutions to improve situations and processes. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including solving customer cases and developing software, both products and internal tools.

What you will be doing:

  • Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues.

  • Work with engineering teams on customer issues, providing logs, reproduction, and other triage information.

  • Apply AI to create/update products and/or support tools.

  • Take ownership and drive customer issues from inception to resolution.

  • Document customer interactions to better enhance our knowledge base.

  • Participate in the creation, maintenance, and versioning of documentation related to customer support processes, procedures, and associated guidelines.

  • Apply agentic AI skills to solving customer issues and software development

  • Occasional work on weekends and holidays to support customers

What we need to see:

  • Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience.

  • At least 10 years of software engineering experience.

  • AI/ML expertise.

  • Professional-level communication skills, including the ability to adjust communication to the technical level of the audience, and stay calm and focused in negative situations.

  • Excellent follow-up and organizational skills, with a passion or love for solving problems.

Ways to stand out from the crowd:

  • Software engineering experience

  • Customer support experience

  • Technical expertise in technologies related to NVIDIA AI Enterprise, Omniverse, vGPU

  • Experience with parallel programming or GPU acceleration (e.g., CUDA)

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 18, 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

Pay

Benefits

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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