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UST in Bengaluru is seeking a skilled professional for benchmarking AI models, optimizing performance, and analyzing system-level metrics. This role involves working with various AI models and hardware platforms, offering insights from performance comparisons.
The ideal candidate will have experience in performance benchmarking, AI/ML framework knowledge, and programming skills in C/C++ and Python. A strong understanding of Linux systems and profiling tools is required.
Benchmark AI models such as OpenVLA, YOLOv8, Whisper, Pi Droid, Groot, and 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 or 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.