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Architect – Performance Verification & Analysis

Architect – Performance Verification & Analysis

Best NanoTechbhubaneswar, India
1 day ago
Job description

Location : Bengaluru, India

Job Type : Full-time

Notice Period : Immediate Joiners Preferred / Up to 10 Days

We are looking for a highly analytical and experienced Performance Architect to join the Client’s GPU & SoC Architecture Group . The role focuses on performance analysis, system-level debugging, and architecture exploration for next-generation GPUs and SoCs powering AI / ML, automotive, graphics, and high-performance computing platforms.

This position offers the unique opportunity to influence hardware + software across some of the most advanced computing technologies.

Key Responsibilities

Performance & Architecture Analysis

  • Perform performance and bottleneck analysis of complex GPUs and System-on-Chips (SoCs).
  • Analyze and debug issues using performance models, RTL test benches, emulators , and cycle-accurate models.

Architecture Exploration

  • Collaborate with architecture and design teams to evaluate trade-offs across performance, area, and power .
  • Understand and evaluate key product use cases across graphics, ML, automotive, vision, and compute applications.
  • Workload & Test Development

  • Develop workloads, benchmarks, and test suites to stress and evaluate GPU / SoC subsystems.
  • Identify representative datasets and help build methodology for early performance analysis.
  • Tooling & Infrastructure

    Develop and enhance performance simulators, testbench components , and analysis tools.

    Essential Requirements (Must-Have)

  • 3+ years of experience in SoC / GPU / CPU performance architecture or analysis .
  • Strong understanding of :
  • System-on-Chip (SoC) architecture
  • GPU / graphics pipeline
  • CPU architecture
  • Memory subsystem architecture
  • Network-on-Chip (NoC) / Interconnect architecture
  • Strong programming skills in C / C++ and scripting with Python / Perl / Bash .
  • Experience debugging complex HW / SW issues using RTL dumps, performance traces , and statistical / data analysis.
  • Exposure to performance models, simulators, emulators , or pre-silicon analysis frameworks.
  • Excellent communication and ability to work in a global, cross-functional environment.

    Preferred (Nice-to-Have)

  • MS / MTech or PhD with specialization in computer architecture, SoC / GPU architecture, or related areas.
  • Experience with Verilog / SystemVerilog , SystemC / TLM .
  • Hands-on with GPU APIs such as CUDA, OpenGL, DirectX.
  • Strong data analysis & visualization experience (e.g., Pandas, Jupyter, visualization tools).
  • Domain knowledge in graphics , machine learning , or high-performance computing workloads.
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