Senior Accelerated Computing Architect

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Accelerated Computing Architect to develop software and system architectures for various computing applications. The role involves optimizing performance on NVIDIA GPUs and collaborating with design and research teams to guide accelerated computing advancements.

The ideal candidate will have at least 6 years of experience, a MS or Ph.D. in a relevant field, and strong skills in GPU programming, C, and C++. The position includes competitive salary ranges and benefits, fostering a diverse work environment.

Qualifications

• 6+ years of relevant work experience.
• Hands-on experience with GPU programming models.
• Good communication, organization, and problem-solving skills.

Responsibilities

• Analyze and optimize performance on NVIDIA GPUs.
• Collaborate with design and research teams.
• Present work through publications and blog posts.

Skills

Performance optimization

CUDA or OpenCL

C and C++ programming

Mathematical fundamentals

Communication skills

Education

MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering

Tools

APIs for multi-node communication

Python

Job description

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:

• 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.

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.

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.