NVIDIA

4 weeks ago

Architect - Performance Verification and Analysis

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Architect focused on performance verification and analysis for GPUs/SoCs, driving scalable improvements across AI, automotive, and HPC products. Analyze bottlenecks, develop performance models and test benches, and collaborate with architecture/design teams to evaluate trade-offs in performance, area, and power. Build workloads, simulators, and analysis tools to accelerate pre-silicon validation in a hybrid, globally-collaborative setting.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Performance analysis/bottleneck analysis of complex, high performance GPUs and SoCs
•Develop hardware models of different levels of extraction, including performance models, RTL test benches and emulators to find performance bottlenecks
•Collaborate with architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption
•Develop workloads and test suites targeting graphics, machine learning, automotive, video, compute vision applications
•Develop infrastructure including performance simulators, testbench components and analysis tools

Key Requirements

•BE/BTech or MS/MTech, or equivalent experience in relevant area, PhD is a plus
•2+ years of relevant experience dealing with system level architecture and performance issues
•Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, CPU architecture, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture
•Solid programming (C/C++) and scripting (Bash/Perl/Python) skills. Exposure to Verilog/SystemVerilog, SystemC/TLM is a strong plus
•Strong debugging and analysis (including data and statistical analysis) skills, including use of RTL dumps to debug failures

Experience:2+ yearsSemiconductorsGPUAIHPC

Education:Bachelor's

Skills:CommunicationOrganizationProblem-solvingTeam collaborationAnalytical thinking

Tech Stack:CC++PythonBashPerlVerilogSystemVerilogSystemCTLMRTLCUDAOpenGLDirectX

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 weeks ago

Architect - Performance Verification and Analysis

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Performance analysis/bottleneck analysis of complex, high performance GPUs and SoCs
•Develop hardware models of different levels of extraction, including performance models, RTL test benches and emulators to find performance bottlenecks
•Collaborate with architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption
•Develop workloads and test suites targeting graphics, machine learning, automotive, video, compute vision applications
•Develop infrastructure including performance simulators, testbench components and analysis tools

Key Requirements

•BE/BTech or MS/MTech, or equivalent experience in relevant area, PhD is a plus
•2+ years of relevant experience dealing with system level architecture and performance issues
•Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, CPU architecture, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture
•Solid programming (C/C++) and scripting (Bash/Perl/Python) skills. Exposure to Verilog/SystemVerilog, SystemC/TLM is a strong plus
•Strong debugging and analysis (including data and statistical analysis) skills, including use of RTL dumps to debug failures

Experience:2+ yearsSemiconductorsGPUAIHPC

Education:Bachelor's

Skills:CommunicationOrganizationProblem-solvingTeam collaborationAnalytical thinking

Tech Stack:CC++PythonBashPerlVerilogSystemVerilogSystemCTLMRTLCUDAOpenGLDirectX

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor