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Senior High Performance Computing Jobs in California

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Senior High Performance Computing information

What is the difference between Senior High Performance Computing vs High Performance Computing Engineer?

AspectSenior High Performance ComputingHigh Performance Computing Engineer
CredentialsBachelor's or Master's in Computer Science, often with certifications in HPCBachelor's or Master's in Computer Science or related field, with HPC experience
Work EnvironmentResearch labs, universities, large data centersData centers, research institutions, tech companies
Industry UsageAcademic, research, government projectsCommercial, research, technology sectors
Primary FocusLeadership in HPC projects, strategic planningDesigning, developing, optimizing HPC systems and applications

While both roles involve high-performance computing, Senior High Performance Computing professionals typically focus on leadership and strategic oversight, whereas High Performance Computing Engineers are more involved in technical development and system optimization. The roles often overlap in skills and environment but differ in scope and responsibilities.

What are the most commonly searched types of High Performance Computing jobs in California? The most popular types of High Performance Computing jobs in California are:
What are popular job titles related to Senior High Performance Computing jobs in California? For Senior High Performance Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior High Performance Computing jobs in California look for? The top searched job categories for Senior High Performance Computing jobs in California are:
What cities in California are hiring for Senior High Performance Computing jobs? Cities in California with the most Senior High Performance Computing job openings:
Senior High Performance Computing jobs near you
Senior Accelerated Computing Architect

Senior Accelerated Computing Architect

Nvidia

Santa Clara, CA

Full-time

Posted 28 days ago

Job description

We are now looking for a Senior Accelerated Computing Architect!

NVIDIA is developing software and system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.

What you'll be doing:

  • Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.

  • Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.

  • Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.

  • Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.

  • Diving into accelerated computing applications to facilitate software-hardware co-design.

  • Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.

What we need to see:

  • An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience

  • 6+ years of relevant work experience

  • Strong mathematical fundamentals, including linear algebra and numerical methods.

  • A passion for performance optimization.

  • Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.

  • Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms. Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs is a plus.

  • Familiarity with Python is a plus.

  • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of pushing an architecture to its limits? If so, 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 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.

Applications for this job will be accepted at least until April 18, 2026.

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.
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

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