# Hardware Architecture Engineer

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Architect---GPU-Performance_JR2025445?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9ac50ba3-08b

## Description

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

## Skills

### Required
- C/C++
- Perl/Python
- Verilog/System Verilog
- SystemC/TLM
- GPU architecture
- SoC architecture

### Nice to have
- performance analysis
- RTL testing
- data analysis
- statistical analysis

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Architect---GPU-Performance_JR2025445?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)