Hardware Architecture Engineer

NVIDIA is seeking a Hardware Architecture Engineer to join our HW architecture team. As part of this team, you will work on projects that will help make our next-generation visual computing, automotive, GPU, and HPC systems better.

Responsibilities:

• Perform system-level performance analysis and bottleneck analysis of complex, high-performance GPUs and System-on-Chips (SoCs)
• Work on hardware models of different levels of abstraction, including performance models, RTL test benches, emulators, and silicon to analyze performance and find performance bottlenecks in the system
• Understand key performance use-cases of the product and develop workloads and test suites targeting graphics, machine learning, automotive, video, and compute vision applications running on these products
• Collaborate 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
• Drive methodologies for improving turnaround time, finding representative data-sets, and enabling performance analysis early in the product development cycle

Requirements:

• BE/BTech, or MS/MTech in a relevant area, PhD is a plus, or equivalent experience
• 3+ years of experience with exposure to performance analysis and complex system on chip and/or GPU architectures
• Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, memory subsystem architecture, and Network-on-Chip (NoC)/Interconnect architecture
• Expert hands-on competence in programming (C/C++) and scripting (Perl/Python), with exposure to Verilog/System Verilog, SystemC/TLM being a strong plus
• Strong debugging and analysis skills, including use of RTL dumps to debug failures
• Hands-on experience developing performance simulators, cycle accurate/approximate models for pre-silicon performance analysis is a strong plus