Graphics/AI Performance Engineer - Staff / Senior

We are hiring on behalf of our client, a leading global semiconductor and technology company, for a Graphics/AI Performance Engineer to work on next -generation GPU architectures and AI workloads. The role focuses on performance analysis, power optimization, workload characterization, and architectural improvements for graphics and AI applications.

Key Responsibilities

• Develop and maintain GPU power and performance models for graphics and AI workloads.
  
• Analyze GPU architecture and microarchitecture to identify performance and power optimization opportunities.
  
• Evaluate AI workload behavior and correlate performance metrics with power consumption.
  
• Identify system bottlenecks and propose hardware, software, or algorithmic optimizations.
  
• Collaborate with architecture, hardware, software, compiler, driver, and ML teams.
  
• Perform power -performance tradeoff studies and provide data -driven recommendations.
  
• Contribute to future GPU architecture and roadmap planning.
  

Required Qualifications

• Bachelor's degree with 6+ years, Master's degree with 5+ years, or PhD with 4+ years of relevant experience.
  
• Strong understanding of CPU/GPU architecture and microarchitecture.
  
• Experience in performance analysis, workload characterization, and system optimization.
  
• Experience with low -power ASIC design techniques.
  
• Proficiency in C/C++ and Python.
  
• Experience with AI/ML frameworks such as TensorFlow or PyTorch.
  
• Knowledge of GPU computing technologies such as CUDA, OpenCL, Vulkan, OpenGL, or DirectX.
  
• Experience with power analysis tools such as PrimeTime PX, Power Artist, or similar tools.
  
• Understanding of GPU drivers, compilers, and runtime software is a plus.
  
• Exposure to Verilog/SystemVerilog is desirable.
  

Preferred Skills

• Graphics performance analysis.
  
• AI workload optimization.
  
• GPU architecture and performance modelling.
  
• Low -power design methodologies.
  
• Hardware -software co -optimization.
  
• Performance benchmarking and profiling.