No longer accepting applications

Architect – Performance Verification & Analysis

Best NanoTechalwar, India

21 hours 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.

Contact-

Create a job alert for this search

Performance Architect • alwar, India