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GPU Performance Modeling & Optimization Engineer

CareerNet Technologies Pvt Ltd

 

Bangalore, Karnataka, India

Posted On: 7 days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: PERFORMANCE & POWER OPTIMIZATION ENGINEER
Tenure: No Preference/Any
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Description

Own GPU performance modeling, optimization, and silicon characterization for next-generation architectures.

This role is on-site.

Responsibilities

  • Maintain and extend cycle-accurate or approximate simulators for Shader Engines, Cache Hierarchies, Memory Subsystems, and Interconnects.
  • Execute simulation experiments to evaluate GPU configurations, scaling limits, and trade-offs, providing data-driven recommendations.
  • Profile and optimize performance for generative AI, LLM, and graphics workloads, identifying bottlenecks in compute engines and SoC fabrics.
  • Lead early silicon validation, capturing telemetry and correlating results with pre-silicon models to root-cause hardware-software mismatches.
  • Partner with compiler and runtime teams to implement microarchitectural optimizations that maximize execution unit utilization.

Required Skills

  • 5-10 years of industry experience in silicon performance engineering, GPU modeling, or microarchitecture design.
  • Strong proficiency in C++ and Python for simulation and analysis tools.
  • Deep understanding of GPU architecture, including SIMD/SIMT models, cache hierarchy, and memory technologies.
  • Experience with hardware simulation, silicon characterization, and performance analysis tools.
  • Familiarity with Linux tracing frameworks, performance counters, and register dumps.
  • Understanding of PCIe, high-bandwidth interconnects, and kernel execution graphs.

Preferred Skills

  • Experience with AI/LLM workloads, Transformer models, PyTorch, or Triton.
  • Knowledge of graphics pipelines, compute shaders, ray tracing, and rasterization.

Education

Any Graduate

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