$104.40K - $143.40K/yr
CUDA or OpenCL programming experience is desired but not required. * Experience with the following ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:
$15 - $20/hr
Pursuing a Master's, or PhD in Physics, Electrical/Computer Engineering, Computer Science, or a ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...
Research Intern - AI System Architecture Modeling and Performance
Hillsboro, OR · On-site
$8.76K - $14.36K/mo
Overview Research Internships at Microsoft provide a dynamic environment for research careers with ... programming models/compilers such as CUDA and Triton. * Deep understanding of GPU and AI ...
Research Intern - AI System Architecture Modeling and Performance
Hillsboro, OR · On-site
$8.76K - $14.36K/mo
Overview Research Internships at Microsoft provide a dynamic environment for research careers with ... programming models/compilers such as CUDA and Triton. * Deep understanding of GPU and AI ...
... CUDA-Q, and NVIDIA Ising) that researchers around the world rely on to design, simulate, and scale ... Pursuing a Master's or PhD in Physics, Electrical/Computer Engineering, Computer Science, or ...
Graphics experience (GPU / CUDA) Job Type: Student / Intern Shift: Shift 1 (United States of ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...
Graphics experience (GPU / CUDA) Job Type: Student / Intern Shift: Shift 1 (United States of ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...
Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...
Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...
$104.40K - $143.40K/yr
... interns. * Working closely with product management and other internal and external customers to ... Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads. * Good ...
$122.40K - $161.30K/yr
Proficiency in GPU architecture with CUDA or OpenCL programming experience. * A track record of mentoring early career engineers and interns is a bonus With competitive salaries and a generous ...
OR · Hybrid
$100.40K - $136.40K/yr
Providing technical leadership and guidance to library engineers, QA engineers, and interns working ... CUDA, MPI, OpenMP, OpenACC, pthreads * Strong fundamentals in numerical methods such as ...
$122.40K - $161.30K/yr
CUDA or OpenCL programming experience. * Understanding of deep learning models, algorithms and ... A track record of success in mentoring early-career engineers and interns is a bonus. * Track ...
$122.40K - $161.30K/yr
CUDA or OpenCL programming experience. * Understanding of deep learning models, algorithms and ... A track record of success in mentoring early-career engineers and interns is a bonus. * Track ...
$122.40K - $161.30K/yr
Strong programming skills in CUDA including analyzing and debugging performance bottlenecks on GPUs ... A track record of success in mentoring early-career engineers and interns is a bonus. * Track ...
Experience with low-level parallel programming (e.g., CUDA). * Deep understanding of CPU/GPU ... Prior internship experience in a related field. * Experience with inference optimization techniques ...
... internships, or significant project experience. * Strong background in computer vision and deep ... Proficiency with CUDA. * Ability to convert research into product. With a competitive salary ...
$104.40K - $143.40K/yr
CUDA or OpenCL programming experience. * Experiences in systems with constrained resources, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...
OR · On-site
$122.40K - $161.30K/yr
CUDA or OpenCL programming experience. * Experiences in systems with constrained resources, such as ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...
... and or internship experiences. Minimum Qualifications: Bachelor's degree in Computer Science ... Experience with GPU APIs such as CUDA, OpenCL, ROCm, oneAPI Level Zero, or SYCL. * Familiarity with ...
... and or internship experiences. Minimum Qualifications: Bachelor's degree in Computer Science ... Experience with GPU APIs such as CUDA, OpenCL, ROCm, oneAPI Level Zero, or SYCL. * Familiarity with ...
... and or internship experiences. Minimum Qualifications: Bachelor's degree in Computer Science ... Experience with GPU APIs such as CUDA, OpenCL, ROCm, oneAPI Level Zero, or SYCL. * Familiarity with ...
... and or internship experiences. Minimum Qualifications: Bachelor's degree in Computer Science ... Experience with GPU APIs such as CUDA, OpenCL, ROCm, oneAPI Level Zero, or SYCL. * Familiarity with ...
... and or internship experiences. Minimum Qualifications: Bachelor's degree in Computer Science ... Experience with GPU APIs such as CUDA, OpenCL, ROCm, oneAPI Level Zero, or SYCL. * Familiarity with ...
... and or internship experiences. Minimum Qualifications: Bachelor's degree in Computer Science ... Experience with GPU APIs such as CUDA, OpenCL, ROCm, oneAPI Level Zero, or SYCL. * Familiarity with ...
... and or internship experiences. Minimum Qualifications: Bachelor's degree in Computer Science ... Experience with GPU APIs such as CUDA, OpenCL, ROCm, oneAPI Level Zero, or SYCL. * Familiarity with ...
... and or internship experiences. Minimum Qualifications: Bachelor's degree in Computer Science ... Experience with GPU APIs such as CUDA, OpenCL, ROCm, oneAPI Level Zero, or SYCL. * Familiarity with ...
Internship Cuda Programmer information
What is the difference between Internship Cuda Programmer vs Cuda Developer?
| Aspect | Internship Cuda Programmer | Cuda Developer |
|---|---|---|
| Credentials | Enrolled in or recent graduate of Computer Science or related field | Bachelor's or higher in Computer Science, with experience in CUDA programming |
| Work Environment | Internship setting, learning-focused, entry-level projects | Full-time professional role, developing complex GPU-accelerated applications |
| Industry Usage | Research labs, tech companies, internships for skill development | Tech firms, gaming, scientific computing, high-performance computing |
While an Internship Cuda Programmer is typically a learning position for students or recent graduates gaining foundational experience, a Cuda Developer is a full-time professional responsible for designing and optimizing GPU-accelerated software. The roles differ mainly in experience level, responsibilities, and career stage, but both require knowledge of CUDA programming and GPU architecture.
What are popular job titles related to Internship Cuda Programmer jobs in Oregon? For Internship Cuda Programmer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Internship Cuda Programmer jobs in Oregon look for? The top searched job categories for Internship Cuda Programmer jobs in Oregon are:
Job description
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".
We are looking for versatile software engineers for our XLA team. NVIDIA is at the center for the AI revolution that's transforming how people live, work, and interact with technology. Come join us to build high-performance, production-grade software that's at the core of next-generation AI systems.
What you will be doing:
In this role, develop compiler optimization algorithms for deep learning workloads. You will optimize inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You'll collaborate with our partners in deep learning framework teams and our hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts include:
Crafting and implementing compiler optimization techniques for deep learning network graphs.
Designing novel graph partitioning and tensor sharding techniques for distributed training and inference.
Performance tuning and analysis.
Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI Triton.
Designing user facing features in JAX and related libraries and other general software engineering work.
Working closely with GPU hardware engineering teams to design AI compiler software features for next-generation GPUs.
What we need to see:
Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience).
4+ years of relevant work or research experience in performance analysis and compiler optimizations.
Ability to work independently, define project goals and scope, and lead your own development effort adopting clean software engineering and testing practices.
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
Strong foundation in architecture of CPU, GPUs or other high performance hardware accelerators. Knowledge of high-performance computing and distributed programming.
CUDA or OpenCL programming experience is desired but not required.
Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and deep learning framework design.
Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. A history of mentoring junior engineers and interns is a bonus.
Ways to stand out from the crowd:
Experience working deep learning frameworks such as JAX, PyTorch or TensorFlow.
Extensive experience with CUDA or with GPUs in general.
Experience with open-source compilers such as XLA, LLVM, MLIR or TVM.
With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 152,000 USD - 241,500 USD.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.#deeplearning
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