Architect – Performance Verification

18 hours ago

Bengaluru, Karnataka, India Best NanoTech Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

Contact-

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