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.