With the invention of the GPU - the engine of modern visual computing - the field has expanded to ... Technical knowledge, including a systems programming language (Go, Python) and a solid ...
With the invention of the GPU - the engine of modern visual computing - the field has expanded to ... Technical knowledge, including a systems programming language (Go, Python) and a solid ...
Senior Staff Engineer - AI Data Path
Raleigh, NC · On-site
$103K - $140K/yr
The ideal candidate brings deep expertise in distributed storage, GPU data paths, and large-scale ... Partner with AI/ML engineering teams to optimize inference performance in frameworks such as ...
Senior Staff Engineer - AI Data Path
Raleigh, NC · On-site
$103K - $140K/yr
The ideal candidate brings deep expertise in distributed storage, GPU data paths, and large-scale ... Partner with AI/ML engineering teams to optimize inference performance in frameworks such as ...
Our invention-the GPU-functions as the visual cortex of modern computing and is central to ... We are now looking for a Software Engineer to help accelerate the next era of machine learning ...
Our invention-the GPU-functions as the visual cortex of modern computing and is central to ... We are now looking for a Software Engineer to help accelerate the next era of machine learning ...
Senior Software Engineer - AI Research Clusters
$118K - $156K/yr
Our invention-the GPU-functions as the visual cortex of modern computing and is central to ... We are now looking for a Senior Software Engineer to help accelerate the next era of machine ...
Senior Software Engineer - AI Research Clusters
$118K - $156K/yr
Our invention-the GPU-functions as the visual cortex of modern computing and is central to ... We are now looking for a Senior Software Engineer to help accelerate the next era of machine ...
Senior Software Engineer, CUTLASS Platform
$118K - $156K/yr
Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features. What we need to see:
Senior Software Engineer, CUTLASS Platform
$118K - $156K/yr
Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features. What we need to see:
Data Engineer
Durham, NC · On-site
$57 - $63/hr
Develop and test protocols for GPU-accelerated execution of R- and Python-based models. * Create ... Strong experience using the R programming language. * Experience designing and maintaining database ...
Quick apply
Data Engineer
Durham, NC · On-site
$57 - $63/hr
Develop and test protocols for GPU-accelerated execution of R- and Python-based models. * Create ... Strong experience using the R programming language. * Experience designing and maintaining database ...
Senior Developer Technology Engineer - AI
Durham, NC · Hybrid
$52.75 - $69.50/hr
... programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. * Hands on experience doing low-level performance optimizations. * In-depth expertise with CPU and GPU architecture fundamentals. * Good ...
Senior Developer Technology Engineer - AI
Durham, NC · Hybrid
$52.75 - $69.50/hr
... programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. * Hands on experience doing low-level performance optimizations. * In-depth expertise with CPU and GPU architecture fundamentals. * Good ...
US_East | Infrastructure Engineer_L3
Knightdale, NC · On-site
$90/hr
... programming, CPU/GPU/fabric/SoC tool development. Strong scripting, C, C++, Python experience • Extensive experience debugging designs as well as creating simulation environments • In depth ...
US_East | Infrastructure Engineer_L3
Knightdale, NC · On-site
$90/hr
... programming, CPU/GPU/fabric/SoC tool development. Strong scripting, C, C++, Python experience • Extensive experience debugging designs as well as creating simulation environments • In depth ...
A grasp of the CUDA programming model and experience employing GPU profiling tools like NVIDIA Nsight Systems/Compute to address PCIe bottlenecks and kernel stalls. * Extensive knowledge of profiling ...
A grasp of the CUDA programming model and experience employing GPU profiling tools like NVIDIA Nsight Systems/Compute to address PCIe bottlenecks and kernel stalls. * Extensive knowledge of profiling ...
Programming fluency in C/C++ with a deep understanding of algorithms and software development. * Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations * Excellent ...
Programming fluency in C/C++ with a deep understanding of algorithms and software development. * Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations * Excellent ...
EDA Workflow Optimization Engineer
Durham, NC · Hybrid
$107K - $127K/yr
Hands-on experience running GPU-based workloads in a batch computing environment and a deep understanding of distributed system principles. * Strong programming and debugging skills with C/C ...
EDA Workflow Optimization Engineer
Durham, NC · Hybrid
$107K - $127K/yr
Hands-on experience running GPU-based workloads in a batch computing environment and a deep understanding of distributed system principles. * Strong programming and debugging skills with C/C ...
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ... Experience with parallel programming on at least one communication runtime (NCCL, NVSHMEM, MPI)
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ... Experience with parallel programming on at least one communication runtime (NCCL, NVSHMEM, MPI)
Senior ASIC Power Engineer
Durham, NC · On-site
Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency * You are expected to understand the design and implementation, develop power metrics and drive ...
Senior ASIC Power Engineer
Durham, NC · On-site
Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency * You are expected to understand the design and implementation, develop power metrics and drive ...
We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will ...
We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will ...
Senior Kubernetes Platform Engineer - AI Infrastructure
Research Triangle Park, NC · On-site
$137K - $200K/yr
Define and evolve scalable, multi-tenant platform architecture supporting AI/ML and GPU-based ... Mentor engineers and contribute to defining platform engineering standards and best practices ...
Senior Kubernetes Platform Engineer - AI Infrastructure
Research Triangle Park, NC · On-site
$137K - $200K/yr
Define and evolve scalable, multi-tenant platform architecture supporting AI/ML and GPU-based ... Mentor engineers and contribute to defining platform engineering standards and best practices ...
Software Engineer
Durham, NC · On-site
Knowledge of computer architecture (GPU/FPGA/distributed computing), operating systems, networking ... S. in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering ...
Software Engineer
Durham, NC · On-site
Knowledge of computer architecture (GPU/FPGA/distributed computing), operating systems, networking ... S. in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering ...
Proficiency in programming and scripting languages, such as, Perl, Tcl, Make, Python, etc. Ways to stand out from the crowd: * Background in high-performance design, such as CPU, GPU, LPU ...
Proficiency in programming and scripting languages, such as, Perl, Tcl, Make, Python, etc. Ways to stand out from the crowd: * Background in high-performance design, such as CPU, GPU, LPU ...
Software Engineer
Durham, NC · On-site
Knowledge of computer architecture (GPU/FPGA/distributed computing), operating systems, networking ... S. in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering ...
Software Engineer
Durham, NC · On-site
Knowledge of computer architecture (GPU/FPGA/distributed computing), operating systems, networking ... S. in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering ...
... GPU capabilities. • Drive joint architecture reviews and "whiteboard" sessions with CSP and ... engineering or solutions-architect background: requirements gathering, PoC ownership, roadmap ...
... GPU capabilities. • Drive joint architecture reviews and "whiteboard" sessions with CSP and ... engineering or solutions-architect background: requirements gathering, PoC ownership, roadmap ...
Senior/Staff AI Engineer
Raleigh, NC · On-site
$150K - $250K/yr
Improve performance across GPU and CPU pathways * Work on KV cache, memory, storage, and throughput ... Solve engineering problems at the intersection of AI, high-performance systems, and distributed ...
Senior/Staff AI Engineer
Raleigh, NC · On-site
$150K - $250K/yr
Improve performance across GPU and CPU pathways * Work on KV cache, memory, storage, and throughput ... Solve engineering problems at the intersection of AI, high-performance systems, and distributed ...
Gpu Programming information
See Raleigh, NC salary details
$32.1K - $37.6K
5% of jobs
$37.6K - $43.1K
10% of jobs
$43.1K - $48.6K
7% of jobs
$49.6K is the 25th percentile. Wages below this are outliers.
$48.6K - $54.2K
15% of jobs
$54.2K - $59.7K
7% of jobs
The median wage is $61.7K / yr.
$59.7K - $65.2K
15% of jobs
$65.2K - $70.7K
11% of jobs
$74.9K is the 75th percentile. Wages above this are outliers.
$70.7K - $76.3K
6% of jobs
$76.3K - $81.8K
14% of jobs
$81.8K - $87.3K
7% of jobs
$87.3K - $92.8K
2% of jobs
$32.1K
$63.2K
$92.8K
How much do gpu programming jobs pay per year?
As of Jul 14, 2026, the average yearly pay for gpu programming in Raleigh, NC is $63,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $77,800.00 per year, depending on experience, location, and employer.
What is a GPU Programming job?
A GPU Programming job involves writing and optimizing code to run on Graphics Processing Units (GPUs) for parallel computing tasks. This role is commonly found in fields like machine learning, scientific computing, gaming, and data analytics. GPU programmers use languages such as CUDA, OpenCL, or Vulkan to accelerate computations and improve performance. They work closely with software engineers and data scientists to optimize algorithms for high-performance applications.
What are the key skills and qualifications needed to thrive in the Gpu Programming position, and why are they important?
To excel in GPU Programming, you need a strong background in parallel computing concepts, mathematics, and proficiency in languages such as CUDA, OpenCL, or DirectX/OpenGL, often supported by a degree in computer science, engineering, or a related field. Familiarity with NVIDIA and AMD GPU development tools, performance profilers, and possibly certifications like NVIDIA's Deep Learning Institute courses are valuable. Teamwork, effective communication, and strong problem-solving abilities are essential soft skills in this field. These competencies enable efficient development, optimization, and integration of high-performance GPU code in real-world applications.
What types of projects or applications do GPU Programmers commonly work on?
GPU Programmers are often involved in developing or optimizing software for high-performance applications such as machine learning, scientific simulations, real-time rendering in gaming and visualization, and video/image processing tools. Their daily work may include collaborating with software engineers, data scientists, and hardware teams to create efficient, scalable parallel algorithms that leverage GPU capabilities. The role frequently requires problem-solving to maximize computational efficiency and troubleshooting complex performance bottlenecks. By working across multidisciplinary teams, GPU Programmers help deliver robust solutions for data-intensive problems in areas like healthcare, finance, automotive technology, and entertainment.
What are the most commonly searched types of Gpu Programming jobs in Raleigh, NC? The most popular types of Gpu Programming jobs in Raleigh, NC are:
What are popular job titles related to Gpu Programming jobs in Raleigh, NC? For Gpu Programming jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Gpu Programming jobs in Raleigh, NC look for? The top searched job categories for Gpu Programming jobs in Raleigh, NC are:
Principal Software Engineer, Distributed Systems Engineer - DGX Cloud
Durham, NC • On-site
Full-time
Posted 29 days ago
Nvidia rating
9.3
Based on 5 frontline employees who took The Breakroom Quiz
15th of 209 rated software companies
Job description
NVIDIA is hiring experienced software engineers with kubernetes experience to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about kubernetes and GPUs, and love having fun, please apply today!
For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
What you will be doing:
What we need to see:
Ways to stand out from the crowd:
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 on the planet working for us. If you are creative and autonomous, we want to hear from you!
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 June 29, 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.
For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
What you will be doing:
- You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to scheduling GPU resources on kubernetes.
- Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
- Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.
What we need to see:
- Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. Software development experience with kubernetes APIs and frameworks not just operating a cluster.
- Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
- 15+ years in similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques.
- You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.
- Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.
Ways to stand out from the crowd:
- Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager)
- Proven operational excellence in maintaining reliable and performant AI infrastructure.
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 on the planet working for us. If you are creative and autonomous, we want to hear from you!
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 June 29, 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.
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