Graphics/AI Performance Engineer - Staff / Senior

BuildxPartners; Bengaluru; On-site; INR 1,000,000 - 3,000,000; Full time

Job summary

BuildxPartners is hiring for a Graphics/AI Performance Engineer to join a leading semiconductor company in Bengaluru, India. The role requires 6 to 15 years of experience with a strong focus on GPU architectures and performance optimizations.

The candidate will be responsible for developing GPU models, analyzing architecture for performance improvements, and collaborating with multiple engineering teams. A degree in engineering with relevant work experience is essential.

Qualifications

• Experience in performance analysis and workload characterization.
• Strong understanding of CPU/GPU architecture.
• Proficient in C/C++ and Python, along with AI/ML frameworks.

Responsibilities

• Develop and maintain GPU power and performance models.
• Analyze GPU architecture for optimization opportunities.
• Collaborate with architecture, hardware, and software teams.

Skills

Performance analysis

Workload characterization

System optimization

C/C++ proficiency

Python proficiency

AI/ML frameworks

GPU computing technologies

Education

Bachelor's degree in relevant field with 6+ years experience

Master's degree with 5+ years experience

PhD with 4+ years experience

Tools

CUDA

TensorFlow

PyTorch

Power analysis tools

Job description

Graphics/AI Performance Engineer - Staff / Senior

Bangalore North, India | Posted on 18/06/2026

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.
• GPU architecture and performance modelling.