Architect - GPU Performance

NVIDIA; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

NVIDIA in Bengaluru is seeking an experienced engineer for performance analysis of next-gen GPU and SoC architectures. The successful candidate will work on high-performance hardware models to identify and resolve performance bottlenecks in various applications.

Applicants should have at least 3 years of experience and a relevant degree. Strong skills in programming (C/C++) and data analysis are essential. This role offers exciting challenges in a diverse and inclusive environment.

Qualifications

• 3+ years of experience with performance analysis and complex SoC/GPU architectures.
• Strong understanding of SoC architecture, graphics pipeline, and memory subsystem.
• Hands-on experience developing performance simulators and cycle accurate models.

Responsibilities

• System level performance analysis of complex, high performance GPUs and SoCs.
• Work on hardware models including performance models and emulators.
• Develop workloads and test suites for applications running on products.

Skills

Performance analysis

C/C++ programming

Data analysis

Debugging skills

Statistical analysis

Education

BE/BTech or MS/MTech in relevant area

Tools

Verilog/System Verilog

SystemC/TLM

Job description

You will be working on projects that will help make our next generation visual computing, automotive, GPU, HPC systems better. You will get to work on high performance CPU and Memory sub-systems, Next‑Gen GPUs, NOC based Interconnect Fabric etc.

What you'll be doing:

• System level performance analysis/ 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. Develop workloads and test suits targeting graphics, machine learning, automotive, video, compute vision applications running on these products.
• Work closely 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.

What we need to see:

• BE/BTech, or MS/MTech in 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). 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.
• Hands on experience developing performance simulators, cycle accurate/approximate models for pre‑silicon performance analysis is a strong plus.

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.