AI Benchmarking & Performance Engineer

We are looking for an experienced AI Benchmarking & Performance Engineer to measure, analyze, and optimize AI model performance across modern computing platforms (CPU, GPU, and NPU). This role focuses on real-world AI workloads including vision, speech, and robotics models.

Key Responsibilities

• Benchmark AI , OpenVLA, YOLOv8, Whisper, Pi Droid, Groot,  MLPerf Client and similar workloads
• Measure performance metrics including latency, throughput (FPS), memory usage, and power efficiency
• Set up and run repeatable benchmarking pipelines across different hardware platforms
• Perform system-level analysis to identify bottlenecks in CPU, GPU, memory, and data pipelines
• Optimize AI models and pipelines using profiling tools and performance tuning techniques
• Integrate AI models into application pipelines (e.g., robotics , edge AI workflows) and measure end-to-end performance
• Compare performance across platforms (AMD, NVIDIA, Qualcomm, etc.) and generate competitive insights
• Automate benchmark execution, data collection, and reporting
• Prepare clear technical reports and performance summaries for stakeholders

Required Skills

• Strong experience in performance benchmarking and system analysis
• Good understanding of AI/ML models and inference frameworks (PyTorch, ONNX,linux systems, AMD, NVIDIA, Qualcomm, robotics , edge AI workflows etc.)
• Experience with Linux systems and performance tools
• Knowledge of CPU/GPU/NPU architectures and memory systems
• Experience with profiling tools such as perf, VTune, Nsight or similar
• Programming proficiency in C/C++, Python/Peral.

Preferred Skills

• Experience with robotics or edge AI pipelines
• Experience with simulation environments or real-world deployment

Preferred candidate profile

Perks and benefits