Accelerated Compute Systems Performance Architect - Intern null

Your Role

NVIDIA is developing software and hardware system architectures for accelerated high-performance computing, scientific computing, machine learning, artificial intelligence, datacenter, and automotive computing. 

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.
• 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.
• Write up and present your work by writing white papers, conference publications, official blog posts, patent applications, etc.

About You

What NVIDIA needs to see:

• A passion for performance analysis and 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.
• Solid background in GPU and computer systems architecture.
• Strong knowledge of C and C++ with a solid understanding of software design, programming techniques, and algorithms. 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.

Benefits

NVIDIA helps interns succeed and grow through comprehensive benefits such as:

• Intern Experience
• Healthcare Programs
• Time Off & Holidays
• Well-Being
• Learning & Development

Training & Development

The NVIDIA Deep Learning Institute (DLI) offers resources for diverse learning needs—from learning materials to self-paced and live training to educator programs. Individuals, teams, organizations, educators, and students can now find everything they need to advance their knowledge in AI, accelerated computing, accelerated data science, graphics and simulation, and more.

Career Progression

Interns at NVIDIA are employees. They do real work, on real projects, side by side with some of the industry's brightest minds. Interns get hands-on with never-before-seen technologies and the latest software and hardware developments.

How to Apply

NVIDIA hiring process:

• Search and apply
• Meet
• Join the team

Sources

The following sources were used in researching this page:

• nvidia.com/en-us/about-nvidia/careers/how-we-hire/
• nvidia.com/en-us/about-nvidia/careers/university-recruiting/
• nvidia.com/en-us/benefits/interns/
• learn.nvidia.com/
• youtube.com/@NVIDIA