Senior SOC Memory Subsystem Architect

Posted:
10/18/2024, 3:09:25 AM

Location(s):
Karnataka, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Software Engineering

NVIDIA is seeking a motivated memory subsystem architects to work with a team to solve complex problems while optimizing performance, area, complexity, and power on leading-edge SoC systems. This team helps build new and innovative products tailored to NVIDIA’s world changing solutions for servers, autonomous vehicles, mobile systems, and gaming systems.

What you will be doing:

  • Developing architecture and micro-architecture to improve the state-of-the-art in memory system optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.

  • Drive the feature definition

  • Performance modeling and simulation of features to improve memory system efficiency.

  • Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations.

  • Working with various cross functional teams like product architecture, system software, ASIC design and verification, and marketing in developing the comprehensive solution

What we need to see:

  • Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field (or the equivalent experience).

  • 12+ years of meaningful work experience in SoC Architecture and development specifically in one or more domains of system coherent interconnect, system caches, high speed IOs, and DRAM controllers.

  • Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team.

Ways to stand out from the crowd:

  • Practical experience with large server system product definition and development.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality