Durham, NC · On-site
$125K - $170K/yr
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 ...
Durham, NC · On-site
$125K - $170K/yr
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 ...
This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world ... Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer ...
This GPU memory architecture team creates new, innovative products tailored to NVIDIA's world ... Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer ...
Strong C/C++ and Python programming skills. * Exposure to GPU architecture, CUDA kernels, GPU compute workloads, or related accelerator programming is strongly preferred. * Working knowledge of ...
Strong C/C++ and Python programming skills. * Exposure to GPU architecture, CUDA kernels, GPU compute workloads, or related accelerator programming is strongly preferred. * Working knowledge of ...
Durham, NC · On-site
$167K - $198K/yr
Strong C/C++ and Python programming skills. * Exposure to GPU architecture, CUDA kernels, GPU compute workloads, or related accelerator programming is strongly preferred. * Working knowledge of ...
Durham, NC · On-site
$167K - $198K/yr
Strong C/C++ and Python programming skills. * Exposure to GPU architecture, CUDA kernels, GPU compute workloads, or related accelerator programming is strongly preferred. * Working knowledge of ...
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 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 ...
Strong C/C++ and Python programming skills. * Experience with Linux device drivers, CUDA kernels, GPU compute workloads, or related accelerator programming is strongly preferred. * Understanding ...
Strong C/C++ and Python programming skills. * Experience with Linux device drivers, CUDA kernels, GPU compute workloads, or related accelerator programming is strongly preferred. * Understanding ...
Durham, NC · On-site
$118K - $156K/yr
Strong C/C++ and Python programming skills. * Experience with Linux device drivers, CUDA kernels, GPU compute workloads, or related accelerator programming is strongly preferred. * Understanding of ...
Durham, NC · On-site
$118K - $156K/yr
Strong C/C++ and Python programming skills. * Experience with Linux device drivers, CUDA kernels, GPU compute workloads, or related accelerator programming is strongly preferred. * Understanding of ...
... and GPU's. This position offers the opportunity to have real impact in a dynamic, technology ... Expertise with C/C++ programming language Ways to stand out: from the crowd: * Prior experience ...
... and GPU's. This position offers the opportunity to have real impact in a dynamic, technology ... Expertise with C/C++ programming language Ways to stand out: from the crowd: * Prior experience ...
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 ...
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 ...
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 ...
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 ...
Durham, NC · On-site
$100K - $135K/yr
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Strong programming/scripting experience in Python or C++. Applying suitable algorithms, data ...
Durham, NC · On-site
$100K - $135K/yr
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Strong programming/scripting experience in Python or C++. Applying suitable algorithms, data ...
Durham, NC · On-site
$100K - $135K/yr
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Strong programming/scripting experience in Python or C++. Applying suitable algorithms, data ...
Durham, NC · On-site
$100K - $135K/yr
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Strong programming/scripting experience in Python or C++. Applying suitable algorithms, data ...
Durham, NC · On-site
NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high ... Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory ...
Durham, NC · On-site
NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high ... Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory ...
Raleigh, NC · Remote
$119K - $157K/yr
GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design; Database engines - SQLite, MongoDB, DynamoDB; Moq Unit testing framework * Protocols Experience: MQTT;
Raleigh, NC · Remote
$119K - $157K/yr
GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design; Database engines - SQLite, MongoDB, DynamoDB; Moq Unit testing framework * Protocols Experience: MQTT;
Durham, NC · Remote
$118K - $156K/yr
GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design; Database engines - SQLite, MongoDB, DynamoDB; Moq Unit testing framework * Protocols Experience: MQTT;
Durham, NC · Remote
$118K - $156K/yr
GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design; Database engines - SQLite, MongoDB, DynamoDB; Moq Unit testing framework * Protocols Experience: MQTT;
The role involves working on production systems for large scalable GPU clusters and implementing ... systems programming language (Go, Python) and a solid understanding of data structures and ...
The role involves working on production systems for large scalable GPU clusters and implementing ... systems programming language (Go, Python) and a solid understanding of data structures and ...
Durham, NC · On-site
$135K - $167K/yr
Collaborate with GPU architects, driver engineers, SDK teams, and graphics developers to understand future needs and influence product direction. * Drive technical initiatives across multiple ...
Durham, NC · On-site
$135K - $167K/yr
Collaborate with GPU architects, driver engineers, SDK teams, and graphics developers to understand future needs and influence product direction. * Drive technical initiatives across multiple ...
$49.25 - $67.50/hr
As a DevOps Engineer, you will ... Maintain GPU-based infrastructure including optimizing GPU utilization for largescale deep learning ...
$49.25 - $67.50/hr
As a DevOps Engineer, you will ... Maintain GPU-based infrastructure including optimizing GPU utilization for largescale deep learning ...
Cary, NC · On-site
$49.25 - $67.50/hr
As a DevOps Engineer, you will ... Maintain GPU-based infrastructure including optimizing GPU utilization for large-scale deep ...
Cary, NC · On-site
$49.25 - $67.50/hr
As a DevOps Engineer, you will ... Maintain GPU-based infrastructure including optimizing GPU utilization for large-scale deep ...
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 ...
$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
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.
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.
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.
9.3
Based on 5 frontline employees who took The Breakroom Quiz
15th of 209 rated software companies
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.
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.
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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.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993
