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Cuda Gpu Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Senior System Simulation Architect

Durham, NC · On-site

... CUDA Experience with CPU/GPU application development and optimization in Pytorch, TensorFlow, and similar frameworks NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI ...

Nvidia

Senior System Simulation Architect

Durham, NC

Familiarity with CUDA * Experience with CPU/GPU application development and optimization in Pytorch, TensorFlow, and similar frameworks NVIDIA is a global leader in accelerated computing, delivering ...

Nvidia

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. Hands on experience doing low-level performance optimizations. In-depth expertise with CPU and GPU ...

Nvidia

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

... CUDA, OpenACC, OpenMP, MPI, pthreads, etc. * Hands on experience doing low-level performance optimizations. * In-depth expertise with CPU and GPU architecture fundamentals. * Good communication and ...

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All JobsCuda Gpu JobsCuda Gpu Jobs in Raleigh, NC

Cuda Gpu information

See Raleigh, NC salary details

$108.4K

$200.2K

How much do cuda gpu jobs pay per year?

As of Sep 4, 2026, the average yearly pay for cuda gpu in Raleigh, NC is $194,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $199,300.00 and $199,300.00 per year, depending on experience, location, and employer.

What is the difference between Cuda Gpu vs Data Scientist?

AspectCuda GpuData Scientist
Required CredentialsKnowledge of GPU programming, CUDA toolkit, C/C++Statistics, programming (Python, R), data analysis
Work EnvironmentTech companies, research labs, hardware developmentBusiness, tech, finance, healthcare sectors
Industry UsageHigh-performance computing, AI, machine learningData analysis, predictive modeling, data visualization

While Cuda Gpu specialists focus on GPU programming and hardware optimization, Data Scientists analyze data to extract insights. Both roles require technical skills but serve different purposes within technology and data-driven industries.

What are popular job titles related to Cuda Gpu jobs in Raleigh, NC?

For Cuda Gpu jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Cuda Gpu jobs in Raleigh, NC look for?

The top searched job categories for Cuda Gpu jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Cuda Gpu jobs?

Cities near Raleigh, NC with the most Cuda Gpu job openings:

Cuda Gpu jobs near you
Infographic showing various Cuda Gpu job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $194,912 per year, or $93.7 per hour.

Senior Software Architect - Deep Learning and HPC Communications

NVIDIA AI

Durham, NC • On-site

$125K - $170K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
NVIDIA AI is at the forefront of innovations in Artificial Intelligence and High Performance Computing. They are seeking a Senior Software Architect to design and implement new communication technologies that enhance AI and HPC workloads, while also investigating performance improvements in communication systems.
Responsibilities:
• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.
• Design and implement new communication technologies to accelerate AI and HPC workloads.
• Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.
• Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.
• Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)
Qualifications:
Required:
• M.S./Ph.D. degree in CS/CE or equivalent experience.
• 5+ years of relevant experience.
• Excellent C/C++ programming and debugging skills.
• Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).
• Deep understanding of operating systems, computer and system architecture.
• Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.
• Strong experience with Linux.
• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Preferred:
• Expertise in related technology and passion for what you do.
• Experience with CUDA programming and NVIDIA GPUs.
• Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
• Knowledge of deep learning parallelisms and mapping to the communication subsystem.
• Experience with HPC applications.
• Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.

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