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Cuda Openmp Jobs (NOW HIRING)

Senior Fortran Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Deep understanding of Fortran semantics Direct experience with Flang is a huge plus Experience writing code using Modern C++ Familiarity with OpenACC, OpenMP, or CUDA You have a real passion for ...

Senior Fortran Compiler Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

Deep understanding of Fortran semantics Direct experience with Flang is a huge plus Experience writing code using Modern C++ Familiarity with OpenACC, OpenMP, or CUDA You have a real passion for ...

$104K - $143K/yr

Familiarity with OpenACC, OpenMP, or CUDA * You have a real passion for compiler development With competitive salaries and a generous benefits package, we are widely considered to be one of the ...

Senior Fortran Compiler Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Familiarity with OpenACC, OpenMP, or CUDA * You have a real passion for compiler development With competitive salaries and a generous benefits package, we are widely considered to be one of the ...

Senior Fortran Compiler Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

Familiarity with OpenACC, OpenMP, or CUDA * You have a real passion for compiler development With competitive salaries and a generous benefits package, we are widely considered to be one of the ...

Senior Fortran Compiler Engineer

OR · On-site +1

$104K - $143K/yr

Deep understanding of Fortran semantics Direct experience with Flang is a huge plus Experience writing code using Modern C++ Familiarity with OpenACC, OpenMP, or CUDA You have a real passion for ...

OpenMP/MPI/CUDA (intermediate) * Docker/Singularity or similar (intermediate) Other * ability to learn and apply new concepts rapidly * extreme attention to details Plus * familiarity with SaltStack ...

Showing results 41-60

Cuda Openmp information

See salary details

$111.5K

$206K

How much do cuda openmp jobs pay per year?

As of Sep 14, 2026, the average yearly pay for cuda openmp in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is the difference between Cuda Openmp vs C++ Developer?

AspectCuda OpenmpC++ Developer
Required CredentialsKnowledge of GPU programming, CUDA, OpenMP, parallel computingProficiency in C++, algorithms, software development
Work EnvironmentHigh-performance computing, parallel processing environmentsSoftware development across various industries
Industry UsageResearch, scientific computing, AI, HPCSoftware engineering, application development, system programming

While Cuda Openmp focuses on parallel programming for GPU and CPU acceleration, C++ Developers create software applications across multiple domains. Both roles require strong programming skills, but Cuda Openmp specialists emphasize parallel computing techniques, whereas C++ Developers focus on software design and implementation.

What other helpful pages are available for Cuda Openmp?

Other pages related to Cuda Openmp:

Infographic showing various Cuda Openmp job openings in the United States as of September 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $200,510 per year, or $96.4 per hour.

Engineering Manager, AI Developer Technology

Santa Clara, CA • Hybrid

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 8 days ago


Key responsibilities

  • Lead the team to optimize and develop algorithms for Machine Learning and Deep Learning applications

  • Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications

  • Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

We are now looking for an AI Developer Technology Engineering Manager:

Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and enhance the value of our platforms for developers. As a key member of our AI DevTech team, you'll lead a team of highly skilled engineers accelerating end-to-end performance of real-world Deep Learning and Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a Developer Technology Manager, you'll define and lead strategic technical initiatives, setting short- and long-term goals for your team. You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning. Your team will focus on optimizing performance of complex parallel algorithms and workloads on NVIDIA platforms, including GPU, CPU, and interconnects.

What you'll be doing:

  • Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications

  • Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications

  • Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models

  • Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans

  • Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges

  • Coach and grow your team, promoting a culture of engineering excellence and idea proliferation

What we need to see:

  • An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience).

  • 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role.

  • In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference

  • Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc.

  • 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 written and presentation skills.

  • Proven track record of planning and leading critical initiatives.

Ways to stand out from the crowd:

  • A PhD in a relevant field

  • Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives

  • Proven experience with recruiting top talent.

What's DevTech?

We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the forefront of technology, advancing NVIDIA's leadership in accelerated computing. Our discoveries generate learnings that benefit the Developer Community and provides guidance to help make our products better.NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and Developer Technology Engineering has been steadily growing to meet the demands for our services. We now have need for a leader to join and help continue our momentum.

NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you love building and mentoring a team and are highly technical and enthusiastic about Deep Learning and GPU accelerated AI performance optimizations, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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