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.

- Solid 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.