The role involves conducting performance characterization and analysis on large multi-GPU and multi ... programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) • Experience ...
The role involves conducting performance characterization and analysis on large multi-GPU and multi ... programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) • Experience ...
Senior Staff Software Engineer, GPU System Software
Sunnyvale, CA · On-site
$262 - $364/hr
Senior Staff Software Engineer, GPU System Software * link Copy link Google Sunnyvale, CA, USA Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing ...
Senior Staff Software Engineer, GPU System Software
Sunnyvale, CA · On-site
$262 - $364/hr
Senior Staff Software Engineer, GPU System Software * link Copy link Google Sunnyvale, CA, USA Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing ...
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ... We are looking for a motivated Performance engineer to influence the roadmap of our communication ...
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ... We are looking for a motivated Performance engineer to influence the roadmap of our communication ...
Senior Software Engineer - GPU Local AI Platforms
Santa Clara, CA · On-site
$143K - $189K/yr
Strong Python or C++ programming, software design, and software engineering skills. * Hands-on experience with GPU kernel development or optimization (CUDA/C++, Triton, or equivalent) - you ...
Senior Software Engineer - GPU Local AI Platforms
Santa Clara, CA · On-site
$143K - $189K/yr
Strong Python or C++ programming, software design, and software engineering skills. * Hands-on experience with GPU kernel development or optimization (CUDA/C++, Triton, or equivalent) - you ...
Sr. AI Software Engineer (GPU/C++)
$166K - $283K/yr
Medical
Dental
Vision
Life
Retirement
PTO
Strong C++ programming skills and solid software engineering fundamentals. * Solid experience and hands-on knowledge with GPU programming (e.g., CUDA) and Linux development environments.
Sr. AI Software Engineer (GPU/C++)
$166K - $283K/yr
Medical
Dental
Vision
Life
Retirement
PTO
Strong C++ programming skills and solid software engineering fundamentals. * Solid experience and hands-on knowledge with GPU programming (e.g., CUDA) and Linux development environments.
Systems Research Engineer Intern - GPU Programming (Fall 2026)
San Francisco, CA · On-site
$58 - $63/hr
About The Role As a Systems Research Engineer Intern specialized in GPU Programming, you will play ... Collaborating with the hardware and software teams, you will contribute to the co-design of ...
Systems Research Engineer Intern - GPU Programming (Fall 2026)
San Francisco, CA · On-site
$58 - $63/hr
About The Role As a Systems Research Engineer Intern specialized in GPU Programming, you will play ... Collaborating with the hardware and software teams, you will contribute to the co-design of ...
Systems Research Engineer Intern - GPU Programming (Fall 2026)
San Francisco, CA · On-site
$58 - $63/hr
About The Role As a Systems Research Engineer Intern specialized in GPU Programming, you will play ... Collaborating with the hardware and software teams, you will contribute to the co-design of ...
Systems Research Engineer Intern - GPU Programming (Fall 2026)
San Francisco, CA · On-site
$58 - $63/hr
About The Role As a Systems Research Engineer Intern specialized in GPU Programming, you will play ... Collaborating with the hardware and software teams, you will contribute to the co-design of ...
Senior Software Engineer (GPU Kernel Authoring & Optimization)
Sunnyvale, CA · On-site
$182 - $242/hr
Medical
Dental
Vision
Life
Retirement
PTO
... GPU/accelerator software, or performance-critical systems. * Hands-on CUDA experience is required--you have written and optimized custom kernels and are fluent with the CUDA programming and memory ...
Senior Software Engineer (GPU Kernel Authoring & Optimization)
Sunnyvale, CA · On-site
$182 - $242/hr
Medical
Dental
Vision
Life
Retirement
PTO
... GPU/accelerator software, or performance-critical systems. * Hands-on CUDA experience is required--you have written and optimized custom kernels and are fluent with the CUDA programming and memory ...
Sr. AI Software Engineer (GPU/C++)
Milpitas, CA · On-site
$166K - $283K/yr
Medical
Dental
Vision
Life
Retirement
PTO
Strong C++ programming skills and solid software engineering fundamentals. * Solid experience and hands-on knowledge with GPU programming (e.g., CUDA) and Linux development environments.
Sr. AI Software Engineer (GPU/C++)
Milpitas, CA · On-site
$166K - $283K/yr
Medical
Dental
Vision
Life
Retirement
PTO
Strong C++ programming skills and solid software engineering fundamentals. * Solid experience and hands-on knowledge with GPU programming (e.g., CUDA) and Linux development environments.
Senior Software Engineer - GPU Local AI Platforms
Santa Clara, CA · On-site
$143K - $189K/yr
Strong Python or C++ programming, software design, and software engineering skills. * Hands-on experience with GPU kernel development or optimization (CUDA/C++, Triton, or equivalent) - you ...
Senior Software Engineer - GPU Local AI Platforms
Santa Clara, CA · On-site
$143K - $189K/yr
Strong Python or C++ programming, software design, and software engineering skills. * Hands-on experience with GPU kernel development or optimization (CUDA/C++, Triton, or equivalent) - you ...
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ... We are looking for a motivated Performance engineer to influence the roadmap of our communication ...
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ... We are looking for a motivated Performance engineer to influence the roadmap of our communication ...
Sr. AI Software Engineer (GPU/C++)
$166K - $283K/yr
Medical
Dental
Vision
Life
Retirement
PTO
Strong C++ programming skills and solid software engineering fundamentals. * Solid experience and hands-on knowledge with GPU programming (e.g., CUDA) and Linux development environments.
Sr. AI Software Engineer (GPU/C++)
$166K - $283K/yr
Medical
Dental
Vision
Life
Retirement
PTO
Strong C++ programming skills and solid software engineering fundamentals. * Solid experience and hands-on knowledge with GPU programming (e.g., CUDA) and Linux development environments.
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ... We are looking for a motivated Performance engineer to influence the roadmap of our communication ...
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our ... We are looking for a motivated Performance engineer to influence the roadmap of our communication ...
To excel in this role, we seek a candidate with exceptional technical expertise, who can bridge deep proficiency in high-performance C++ software engineering and low-level GPU programming with a ...
To excel in this role, we seek a candidate with exceptional technical expertise, who can bridge deep proficiency in high-performance C++ software engineering and low-level GPU programming with a ...
They are seeking a Senior Systems Software Engineer to drive innovation in AI and GPU computing, focusing on performance practices in large-scale GPU infrastructure. Responsibilities : • Lead the ...
They are seeking a Senior Systems Software Engineer to drive innovation in AI and GPU computing, focusing on performance practices in large-scale GPU infrastructure. Responsibilities : • Lead the ...
... GPU/accelerator software, or performance-critical systems. * Hands-on CUDA experience is required--you have written and optimized custom kernels and are fluent with the CUDA programming and memory ...
Quick apply
... GPU/accelerator software, or performance-critical systems. * Hands-on CUDA experience is required--you have written and optimized custom kernels and are fluent with the CUDA programming and memory ...
Sr. Staff/Principal Engineer -- GPU Driver & Systems Software
San Diego, CA · On-site
$179 - $286/hr
Medical
Life
Retirement
PTO
Sr. Staff/Principal Engineer -- GPU Driver & Systems Software Category Chip Design Location San Diego, CA or San Jose, CA Experience More than 8 Years Work Experience About the Role: Bring your GPU ...
Sr. Staff/Principal Engineer -- GPU Driver & Systems Software
San Diego, CA · On-site
$179 - $286/hr
Medical
Life
Retirement
PTO
Sr. Staff/Principal Engineer -- GPU Driver & Systems Software Category Chip Design Location San Diego, CA or San Jose, CA Experience More than 8 Years Work Experience About the Role: Bring your GPU ...
Performance Engineer, GPU
San Francisco, CA · On-site
$280K - $850K/yr
PTO
As a GPU Performance Engineer, you'll architect and implement the foundational systems that power ... Working at the intersection of hardware and software, you'll implement state-of-the-art techniques ...
Performance Engineer, GPU
San Francisco, CA · On-site
$280K - $850K/yr
PTO
As a GPU Performance Engineer, you'll architect and implement the foundational systems that power ... Working at the intersection of hardware and software, you'll implement state-of-the-art techniques ...
... kernel programming, embedded systems) to develop graphics validation software and integrate it into system level test environment. Description You will be writing shaders that stress the GPU and ...
... kernel programming, embedded systems) to develop graphics validation software and integrate it into system level test environment. Description You will be writing shaders that stress the GPU and ...
Staff Software Development Engineer: GPU, Computer Vision, AI/ML Ops
Santa Clara, CA · On-site
$150K/yr
To excel in this role, we seek a candidate with exceptional technical expertise, who can bridge deep proficiency in high-performance C++ software engineering and low-level GPU programming with a ...
Staff Software Development Engineer: GPU, Computer Vision, AI/ML Ops
Santa Clara, CA · On-site
$150K/yr
To excel in this role, we seek a candidate with exceptional technical expertise, who can bridge deep proficiency in high-performance C++ software engineering and low-level GPU programming with a ...
Intern Software Engineer Gpu information
What is the difference between Intern Software Engineer Gpu vs Intern Software Engineer Cloud?
| Aspect | Intern Software Engineer Gpu | Intern Software Engineer Cloud |
|---|---|---|
| Required Credentials | Computer Science degree or related, programming skills, familiarity with GPU programming | Similar credentials, with emphasis on cloud platforms and networking |
| Work Environment | Hardware-focused, GPU development labs, research teams | Cloud infrastructure, remote teams, data centers |
| Employer & Industry Usage | Tech companies, hardware manufacturers, AI research | Cloud service providers, SaaS companies, enterprise IT |
Intern Software Engineer Gpu roles focus on GPU hardware and software development, often involving parallel computing and AI workloads. Intern Software Engineer Cloud positions emphasize cloud infrastructure, deployment, and scalability. Both roles require strong programming skills and industry knowledge but differ mainly in their technical focus and work environment.
What are the most commonly searched types of Software Engineer Gpu jobs in California?
The most popular types of Software Engineer Gpu jobs in California are:
What cities in California are hiring for Intern Software Engineer Gpu jobs?
Cities in California with the most Intern Software Engineer Gpu job openings:
Full-time
Re-posted 27 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
7th of 244 rated software companies
Job description
Job Summary:
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The role involves conducting performance characterization and analysis on large multi-GPU and multi-node clusters to influence the roadmap of communication libraries.
Responsibilities:
• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
• Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack
• Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
• Triage and root-cause performance issues reported by our customers
• Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information
• Collaborate with a very dynamic team across multiple time zones
Qualifications:
Required:
• M.S. (or equivalent experience) or PhD in Computer Science, or related field with relevant performance engineering and HPC experience
• 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
• Experience conducting performance benchmarking and triage on large scale HPC clusters
• Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
• Implement micro-benchmarks in C/C++, read and modify the code base when required
• Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python
• Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker)
• Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones
Preferred:
• Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control
• Experience debugging network issues in large scale deployments
• Familiarity with CUDA programming and/or GPUs
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The role involves conducting performance characterization and analysis on large multi-GPU and multi-node clusters to influence the roadmap of communication libraries.
Responsibilities:
• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
• Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack
• Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
• Triage and root-cause performance issues reported by our customers
• Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information
• Collaborate with a very dynamic team across multiple time zones
Qualifications:
Required:
• M.S. (or equivalent experience) or PhD in Computer Science, or related field with relevant performance engineering and HPC experience
• 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
• Experience conducting performance benchmarking and triage on large scale HPC clusters
• Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
• Implement micro-benchmarks in C/C++, read and modify the code base when required
• Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python
• Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker)
• Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones
Preferred:
• Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control
• Experience debugging network issues in large scale deployments
• Familiarity with CUDA programming and/or GPUs
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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