IP Enablement Application Engineer
Intel Corporation
PerlPython
Job Level
JuniorMid-Level
Tech Stack
PerlPython
About the role
- 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
- Collaborate with the Deep Learning Automotive team to build real-time, cost-effective computing platforms
Requirements
- BE/BTech or MS/MTech in relevant area (PhD is a plus)
- 2+ 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
- Expert 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
