1

Temporary High Performance Computing Engineer Jobs in San Jose, CA

... high-performance computing • Familiarity with profiling tools, performance debugging, tracing ... both engineers and customers Preferred : • Experience with CUDA, Triton, Pallas, ROCm, XLA, or ...

... high-performance computing • Familiarity with profiling tools, performance debugging, tracing ... both engineers and customers Preferred : • Experience with CUDA, Triton, Pallas, ROCm, XLA, or ...

Showing results 21-40

Temporary High Performance Computing Engineer information

See San Jose, CA salary details

$12

$70

$114

How much do temporary high performance computing engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for temporary high performance computing engineer in San Jose, CA is $70.44, according to ZipRecruiter salary data. Most workers in this role earn between $57.74 and $79.71 per hour, depending on experience, location, and employer.

What are the most commonly searched types of High Performance Computing Engineer jobs in San Jose, CA?

The most popular types of High Performance Computing Engineer jobs in San Jose, CA are:

Senior Software Engineer, CUTLASS Platform

NVIDIA

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 19 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

Job Summary:
NVIDIA is a leader in high-performance computing platforms, driving the AI revolution across various industries. They are seeking a Senior Software Engineer for the CUTLASS platform to develop core components, contribute to the MLIR-based backend compiler, and collaborate with multiple teams to enhance GPU performance.
Responsibilities:
• Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.
• Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.
• Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance.
• Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features.
Qualifications:
Required:
• Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
• 3+ years of relevant industry experience.
• Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.
• Experience working with high-performance code generation and knowledge of compiler transformations and optimizations.
• A deep understanding of computer architecture and parallel computing programming models.
Preferred:
• Experience writing high-performance kernels at low levels of abstractions like NVVM/ PTX for GPUs or other similar parallel processing architectures.
• Hands-on compiler design experience, particularly in MLIR.
• Understanding of deep learning models, algorithms, and frameworks.
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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

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