GPU Performance Architect
1 month ago
NVIDIA is a pioneer in the field of visual processing, high-performance computing, and artificial intelligence. We are seeking a highly motivated and creative engineer to join our HW architecture team, where you will work on projects that will shape the future of visual computing, automotive, and GPU systems.
Key Responsibilities:
- Conduct system-level performance analysis and bottleneck analysis of complex, high-performance GPUs and System-on-Chips (SoCs).
- Develop and work on hardware models of different levels of abstraction, including performance models, RTL test benches, emulators, and silicon to analyze performance and identify bottlenecks.
- Understand key performance use-cases of our products and develop workloads and test suits targeting graphics, machine learning, automotive, video, and compute vision applications.
- 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 datasets, and enabling performance analysis early in the product development cycle.
Requirements:
- BE/BTech, or MS/MTech in a relevant area, 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). Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.
- Strong debugging and analysis skills, including data and statistical analysis, and 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.
NVIDIA is a leader in the technology industry, and we are committed to creating a diverse and inclusive work environment. 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.
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