Westford, MA · On-site
$134K - $182K/yr
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.
Westford, MA · On-site
$134K - $182K/yr
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.
Santa Clara, CA · On-site
$152K - $206K/yr
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.
Santa Clara, CA · On-site
$152K - $206K/yr
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.
Santa Clara, CA · On-site
$152K - $206K/yr
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.
Santa Clara, CA · On-site
$152K - $206K/yr
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.
This position requires deep expertise in compiler internals, parallel programming models, and performance optimization on modern SoCs. Responsibilities * Lead design and development of LLVM-Ripple ...
This position requires deep expertise in compiler internals, parallel programming models, and performance optimization on modern SoCs. Responsibilities * Lead design and development of LLVM-Ripple ...
This position requires deep expertise in compiler internals, parallel programming models, and performance optimization on modern SoCs. Responsibilities * Lead design and development of LLVM‑Ripple ...
This position requires deep expertise in compiler internals, parallel programming models, and performance optimization on modern SoCs. Responsibilities * Lead design and development of LLVM‑Ripple ...
Fort Belvoir, VA · On-site
Proficient in object-oriented programming, multithreaded/parallel programming (OpenMP, CUDA, or OpenCL a plus) * Familiarity with GUI/UI/UX development and networking protocols (REST APIs, WebSocket)
Fort Belvoir, VA · On-site
Proficient in object-oriented programming, multithreaded/parallel programming (OpenMP, CUDA, or OpenCL a plus) * Familiarity with GUI/UI/UX development and networking protocols (REST APIs, WebSocket)
Fort Belvoir, VA · On-site
Proficient in object-oriented programming, multithreaded/parallel programming (OpenMP, CUDA, or OpenCL a plus) * Familiarity with GUI/UI/UX development and networking protocols (REST APIs, WebSocket)
Fort Belvoir, VA · On-site
Proficient in object-oriented programming, multithreaded/parallel programming (OpenMP, CUDA, or OpenCL a plus) * Familiarity with GUI/UI/UX development and networking protocols (REST APIs, WebSocket)
Waukesha, WI · On-site
Work with CPU-GPU parallel programming models and optimize data transfer. * Leverage NVIDIA libraries (CUDA, cuBLAS, cuDNN, NCCL as applicable). * Collaborate with system, compute, or AI/ML teams to ...
Quick apply
Waukesha, WI · On-site
Work with CPU-GPU parallel programming models and optimize data transfer. * Leverage NVIDIA libraries (CUDA, cuBLAS, cuDNN, NCCL as applicable). * Collaborate with system, compute, or AI/ML teams to ...
Canonsburg, PA · On-site
Responsibilities : • Design, implement, and optimize parallel programming methods within Ansys Mechanical solver products using MPI, GPU programming models like CUDA, HIP, SYCL, OpenMP, and other ...
Canonsburg, PA · On-site
Responsibilities : • Design, implement, and optimize parallel programming methods within Ansys Mechanical solver products using MPI, GPU programming models like CUDA, HIP, SYCL, OpenMP, and other ...
Cupertino, CA · On-site
Experience with high performance parallel programming, GPU programming experience Preferred Qualifications Excellent programming and problem-solving skills. Strong communication skills. Strong ...
Cupertino, CA · On-site
Experience with high performance parallel programming, GPU programming experience Preferred Qualifications Excellent programming and problem-solving skills. Strong communication skills. Strong ...
Cupertino, CA · On-site
Experience with high performance parallel programming, GPU programming experience Preferred Qualifications Excellent programming and problem-solving skills. Strong communication skills. Strong ...
Cupertino, CA · On-site
Experience with high performance parallel programming, GPU programming experience Preferred Qualifications Excellent programming and problem-solving skills. Strong communication skills. Strong ...
Pasadena, CA · On-site
NET skills in Payment acquiring - ISO messages Parallel programming , async programming , multi-threading Total no. of exp: 6 + years Any visa Mode of interview - Skype Additional Information Thanks ...
Pasadena, CA · On-site
NET skills in Payment acquiring - ISO messages Parallel programming , async programming , multi-threading Total no. of exp: 6 + years Any visa Mode of interview - Skype Additional Information Thanks ...
$103K - $142K/yr
Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL Direct experience in computer vision is not required!
Quick apply
$103K - $142K/yr
Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL Direct experience in computer vision is not required!
Palo Alto, CA · On-site +1
$144K - $189K/yr
Your expertise in GPU computing, performance optimization, and parallel programming will be instrumental in driving the development of high-performance, energy-efficient solutions that redefine the ...
Palo Alto, CA · On-site +1
$144K - $189K/yr
Your expertise in GPU computing, performance optimization, and parallel programming will be instrumental in driving the development of high-performance, energy-efficient solutions that redefine the ...
Redwood City, CA · On-site
$127K - $175K/yr
Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL Direct experience in computer vision is not required!
Quick apply
Redwood City, CA · On-site
$127K - $175K/yr
Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL Direct experience in computer vision is not required!
Palo Alto, CA · On-site +1
$144K - $189K/yr
Your expertise in GPU computing, performance optimization, and parallel programming will be instrumental in driving the development of high-performance, energy-efficient solutions that redefine the ...
Palo Alto, CA · On-site +1
$144K - $189K/yr
Your expertise in GPU computing, performance optimization, and parallel programming will be instrumental in driving the development of high-performance, energy-efficient solutions that redefine the ...
$100K - $137K/yr
Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL Direct experience in computer vision is not required!
$100K - $137K/yr
Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL Direct experience in computer vision is not required!
Albuquerque, NM · On-site
$79K - $120K/yr
Implement scalable solutions leveraging modern parallel programming. * Build Python interfaces, bindings, and workflow tooling around high-performance C++ cores. * Design modular, maintainable, and ...
Albuquerque, NM · On-site
$79K - $120K/yr
Implement scalable solutions leveraging modern parallel programming. * Build Python interfaces, bindings, and workflow tooling around high-performance C++ cores. * Design modular, maintainable, and ...
Chantilly, VA · On-site
The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...
Chantilly, VA · On-site
The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...
Tysons, VA · On-site
The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...
Tysons, VA · On-site
The ideal candidate has a strong background in parallel programming, an understanding of HPC architectures, and a passion for tackling technical challenges. If you are excited by the opportunity to ...
$81K - $85.5K
3% of jobs
$85.5K - $89.9K
5% of jobs
$89.9K - $94.4K
5% of jobs
$94.4K - $98.8K
5% of jobs
$101.9K is the 25th percentile. Wages below this are outliers.
$98.8K - $103.3K
9% of jobs
$103.3K - $107.7K
7% of jobs
$107.7K - $112.2K
13% of jobs
The median wage is $112.7K / yr.
$112.2K - $116.6K
18% of jobs
$118.9K is the 75th percentile. Wages above this are outliers.
$116.6K - $121.1K
18% of jobs
$121.1K - $125.5K
11% of jobs
$125.5K - $130K
5% of jobs
$81K
$110.8K
$130K
A Parallel Programming job involves developing software that can execute multiple tasks or computations simultaneously to improve performance and efficiency. Professionals in this field work with multi-core processors, distributed systems, and GPU computing to optimize software for speed and scalability. They typically use programming models like MPI, OpenMP, or CUDA to implement parallelism. Industries such as high-performance computing, data science, and machine learning heavily rely on parallel programming to handle large-scale computations.
Professionals in parallel programming often face challenges such as identifying code sections that can be effectively parallelized, managing data dependencies, and handling synchronization between parallel tasks. Debugging and optimizing performance in multi-threaded or distributed environments can also be complex, requiring patience and attention to detail. Collaboration with data scientists, hardware engineers, and other software developers is common, as projects frequently involve cross-functional teamwork. Overcoming these challenges is a rewarding part of the job, leading to faster, more efficient software solutions that can have a significant impact in fields like scientific computing, finance, and machine learning.
To excel in Parallel Programming, you need a solid background in computer science, strong proficiency in languages such as C/C++, Python, or Java, and experience with parallel computing frameworks. Familiarity with tools like OpenMP, MPI, CUDA, or parallel processing libraries, as well as relevant certifications or coursework, is highly valuable. Analytical thinking, collaboration, and effective problem-solving are essential soft skills for success in this role. These competencies enable professionals to efficiently develop, debug, and optimize scalable applications in high-performance computing environments.
Cities with the most Parallel Programming job openings:
The most popular types of Parallel Programming jobs are:
States with the most job openings for Parallel Programming jobs include:
The top searched job categories for Parallel Programming jobs are:
Other pages related to Parallel Programming:
Westford, MA • On-site
$134K - $182K/yr
Full-time
Re-posted 29 days ago
9.6
Based on 18 frontline employees who took The Breakroom Quiz
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
