GPU Memory System Architect

Overview

About the job:

Key responsibilities:

1. Architecting the memory system for next-gen GPUs to support next-generation computing applications.
2. Develop detailed performance models and craft creative workloads to bring out the best of memory system components.
3. Analyzing and optimizing memory performance, ensuring our solutions are highly efficient.
4. Ensure that the hardware design perfectly meets the requirements set by high-impact features that span multiple units.
5. Collaborating closely with cross-functional teams to ensure flawless integration of memory systems into broader GPU architectures.
6. Leading and mentoring a team of engineers, encouraging an inclusive and collaborative environment that drives outstanding results.

Who can apply:

Only those candidates can apply who:

1. have minimum 2 years of experience
2. are Computer Science Engineering students

Salary:

Competitive salary

Experience:

2 year(s)

Deadline:

2025-10-22 23:59:59

Skills required:

Attention to Detail, Analytical Thinking, Problem Solving, Teamwork and Effective Communication

Other Requirements:

- A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

- At least 2 years of experience in memory system architecture or related areas.

- Proven track record of crafting and implementing high-performance memory systems.

- Strong analytical and problem-solving skills demonstrated through attention to detail.

- Excellent teamwork and communication skills, with a determination to drive projects to successful completion.

About Company:

Nvidia, founded in 1993 and headquartered in Santa Clara, California, is a global leader in graphics processing units (GPUs) and AI computing. With a market capitalization exceeding $2 trillion in 2024, Nvidia dominates AI, gaming, and data center technologies. In India, Nvidia collaborates with research institutions and businesses to accelerate AI adoption, deep learning, and cloud computing. Its innovations in autonomous vehicles, supercomputing, and AI chips make it one of the most influential technology firms shaping the future of computing.