# Principal GPU Memory Architect

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-GPU-Memory-Architect_JR2014031?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d715645d-6ca

## Description

We are seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware.

Ideal candidates will have a strong track record of understanding and analysing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm).

A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable.

As a Principal GPU Memory Architect, you will develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency.

Key responsibilities include:

- Developing architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimising along the axes of perf/W, perf/mm, and perf/\$.

- Developing and enhancing architecture prototype models for power and noise analysis.

- Participating in performance and power simulation of features to analyse, define, and improve energy per byte.

- Analysing benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimisations.

- Debugging power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.

- Collaborating with outside partners on system infrastructure.

To succeed in this role, you will need:

- 18+ years of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.

- A Bachelor's degree in Electrical Engineering, Computer Science, or a related field (or equivalent experience).

- Expertise in power analysis and modelling in pipeline-based architectures.

- Good understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX, etc.

- Experience with C, C++, and some scripting languages.

Preferred qualifications include:

- MS/PhD in Electrical Engineering, Computer Science, or a related field.

- Experience with hardware design languages such as Verilog or VHDL.

- Prior experience in developing and optimising algorithms for power efficiency.

- Demonstrated ability to innovate and drive continuous improvement in system architecture.

- Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.

You will also be eligible for equity and benefits.

## Skills

### Required
- CPU/GPU architecture
- memory systems design
- power analysis and modelling
- pipeline-based architectures
- C, C++, and some scripting languages

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