Senior GPU Architect

Nvidia Corporation; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Nvidia Corporation is seeking a Senior Architect to lead performance analysis for high-performance GPUs and SoCs. You will model hardware at various levels, run workloads, and partner with architecture teams to trade off performance, area, and power. Strong hands-on C/C++, Verilog/SystemVerilog, and data analysis skills are essential.

The role requires 5+ years in performance analysis with SoC/GPU exposure, plus leadership experience. A PhD is a plus.

Qualifications

• BE/BTech or MS/MTech in relevant area, PhD is a plus.
• 5+ years of experience with exposure to performance analysis and complex SoC and/or GPU architectures.
• Demonstrated history of technical leadership.
• Strong understanding of SoC architecture, graphics pipeline, memory subsystem architecture and NoC/Interconnect architecture.
• Strong hands on competence in programming (C/C++) and scripting (Perl/Python). Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.
• Strong debugging and analysis skills, including data and statistical analysis for rtl dumps to debug failures.

Responsibilities

• Performance analysis/bottleneck analysis of complex, high performance GPUs and SoCs.
• Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators, to find performance bottlenecks in the system.
• Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.
• Understand key performance usecases or the product. Develop workloads and test suites targeting graphics, machine learning, automotive, video, compute vision applications running on these products.
• Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.
• Develop required infrastructure including performance simulators, testbench components and analysis tools.

Skills

C/C++

Python/Perl

Verilog/SystemVerilog

SystemC/TLM

SoC/GPU architecture

NoC/Interconnect

Data analysis

Technical leadership

Education

BE/BTech or MS/MTech in relevant area

PhD is a plus

Tools

SystemC/TLM

Job description

We are now looking for a Senior Architect!

What you'll be doing:

• Performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs).
• Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators, to find performance bottlenecks in the system.
• Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.
• Understand key performance usecases or the product. Develop workloads and test suits targeting graphics, machine learning, automotive, video, compute vision applications running on these products.
• Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.
• Develop required infrastructure including performance simulators, testbench components and analysis tools.

What we need to see:

• BE/BTech or MS/MTech in relevant area, PhD is a plus.
• 5+ years of experience with exposure to performance analysis and complex system on chip and/or GPU architectures.
• Demonstrated history of technical leadership.
• Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture.
• Strong hands on competence in programming (C/C++) and scripting (Perl/Python). Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.
• Strong debugging and analysis (including data and statistical analysis) skills, including use for rtl dumps to debug failures.

NVIDIA is widely considered to be one of the technology worlds most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you.

Come, join our Deep Learning Automotive team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

<<