Graphics/AI Performance Engineer - Staff / Senior

Senior Engineer: 6 - 12 years

Staff Engineer: 8 - 15 years

About the Opportunity

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.