Architect - GPU Performance

NVIDIA
Bengaluru
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsEducation: mastersSkills: ["C++","Python","Perl","Verilog","SystemVerilog","SystemC","TLM"]

Architect GPU performance capabilities by analyzing system-level bottlenecks in high-performance GPUs/SoCs, developing performance models and workloads for graphics, ML, automotive and compute vision apps, and collaborating with architecture/design teams to optimize performance, area, and power in next-generation GPUs and HPC systems.

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FursaFursa
NVIDIA
NVIDIA
2 months ago

Architect - GPU Performance

âś“ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Architect GPU performance capabilities by analyzing system-level bottlenecks in high-performance GPUs/SoCs, developing performance models and workloads for graphics, ML, automotive and compute vision apps, and collaborating with architecture/design teams to optimize performance, area, and power in next-generation GPUs and HPC systems.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Perform system-level performance analysis and bottleneck analysis of high-performance GPUs and SoCs.
  • •Develop hardware models (RTL test benches, emulators, silicon) and performance models to analyze performance bottlenecks.
  • •Create workloads and test suites targeting graphics, machine learning, automotive, video and compute‑vision applications.
  • •Collaborate with architecture and design teams to explore architecture trade-offs related to performance, area, and power consumption.
  • •Develop infrastructure including performance models, testbench components, and visualization tools; drive turnaround time improvements and data-set readiness for early performance analysis.

Key Requirements

  • •BE/BTech, or MS/MTech in a relevant area; PhD is a plus, or equivalent experience.
Experience:3+ yearsGPUSoCHPCAI
Education:Master's
Skills:C++PythonPerlVerilogSystemVerilogSystemCTLM
Languages:English
Tech Stack:C++PythonPerlVerilogSystemVerilogSystemCTLM

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
Glassdoor: 4.3
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