Senior Accelerated Computing Architect at NVIDIA
You're a seasoned architect with an MS or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience and at least six
Work type: onsite
Location: US, CA, Santa Clara
Salary: $184,000 – $356,500/yr
Type: Full-time
Summary
You're a seasoned architect with an MS or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience and at least six years of relevant work experience.
**What makes it worth a look...**
This full-time, on-site role at NVIDIA offers a competitive annual salary range of $184,000 to $356,500, depending on the specific level (4 or 5), with eligibility for equity and benefits.
**You might be a good fit if you...**
* Have hands-on experience with massively parallel GPU programming models like CUDA or OpenCL.
* Possess strong knowledge of C and C++ with solid software design and algorithm understanding.
* Have experience performing in-depth analysis and optimization for NVIDIA GPUs.
* Are familiar with multi-node communication APIs such as MPI or OpenSHMEM/NVSHMEM.
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](https://www.nvidia.com/en-us/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.
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