Architect - GPU Performance

About the role

We are looking for passionate, highly motivated, creative engineers to be part of our HW architecture team. As part of this team, you would be working on projects that will help make our next generation visual computing, automotive, GPU, HPC systems better. You will get to work on high performance CPU and Memory sub-systems, Next-Gen GPUs , NOC based Interconnect Fabric etc. Make the choice to join us today.

What you'll do

• System level performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs)
• Work on hardware models of different levels of abstraction, including performance models
• Understand key performance use-cases of the product. Develop workloads and test suits targeting graphics, machine learning, automotive, video
• Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption
• Develop required infrastructure including performance models, testbench components, performance analysis and visualization tools

What you need

• 3–6 years in software engineering
• Python
• C++
• Deep learning
• Verilog
• Machine learning
• C
• B.Tech or B.E. or M.Tech or M.Sc or PhD

Good to have

• Perl