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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 ...

Accenture

AI & HPC Infrastructure Engineer

Raleigh, NC · On-site

$104K - $137K/yr

Architect and deploy with NVIDIA platform tools including Base Command Manager (BCM), NGC, NCCL, NVLink, and CUDA along with LLM inference engines (TensorRT-LLM), production serving frameworks (vLLM ...

New

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 · On-site

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 ...

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All JobsCuda Engineer JobsCuda Engineer Jobs in Raleigh, NC

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 Jul 14, 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 are CUDA Engineers?

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.

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, and why are they important?

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.
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.
Research Scientist

Research Scientist

Teledyne FLIR LLC

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 hours ago

Job description

Be visionary
Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.
Job Description
Join Teledyne Scientific & Imaging as a Research Scientist!
Are you ready to launch your career to the next level? Join our mission-focused team, where we value technical excellence, collaboration, and agility. We're a powerhouse in R&D innovation, the home of Teledyne's Central Research Laboratory, and the world's leading provider of infrared sensors, with over 60 years of tech evolution and customers like NASA, ESA, and the U.S. Department of Defense.
TSC's Intelligent Systems Laboratory in North Carolina is a state-of-the-art research and development research facility, dedicated to R&D in the areas of computational neuroscience, deep learning, machine learning, persistent surveillance, autonomous systems, and computer vision. The laboratory currently is host to world-class scientists and engineers, with advanced degrees in computer science, mathematics, electrical engineering, neuroscience, chemistry, biomedical engineering, and mechanical engineering.
What You'll Do:
  • Define, develop, and deliver innovative solutions for advanced technology applications
  • Conduct research in artificial intelligence, autonomy, target detection & tracking, and decision systems
  • Design and implement advanced algorithms on PC, GPU, and embedded architectures
  • Perform sophisticated signal processing, statistical analysis, and systems engineering tasks
  • Support hardware/software integration, testing, and evaluation of applied technologies
  • Contribute to technical reports, presentations, and collaborative research proposals
  • Travel occasionally to support programs and collaborations (less than 5%)

What You Need:
  • Ph.D. in Applied Mathematics, Computer Science, Electrical Engineering, or a related technical discipline
  • 0-5 years of post-doctoral or equivalent research experience
  • Proficiency in scientific programming with Python
  • Hands-on experience with C and/or C++
  • Strong background in signal processing and statistical analysis
  • 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 Offer:
  • Competitive Salary & Benefits Package
  • Health, Dental, Vision, and Life Insurance from Day 1
  • Paid Vacation, Sick Time, and Holidays
  • 401(k) with Company Match
  • Employee Stock Purchase Plan
  • Educational Tuition Reimbursement
  • Fun Employee Events throughout the year

Why Teledyne?
Our innovations are "Everywhere You Look"™ - from the James Webb Space Telescope to atomic clocks. Join us and make a difference!
Ready to take the next step? Apply now and become part of a team that's pushing the boundaries of technology and innovation.
#TS&I
Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.
Teledyne is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.

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