Job DescriptionJob Description – AI Benchmarking & Performance Engineer
nJob Title: AI Benchmarking & Performance Engineer
nExperience: 8-12 Years
nLocation: Bangalore
nEducation: Bachelor's or Master's Degree in Computer Science, Electronics, Electrical Engineering, AI/ML, Robotics, or related field
nRole Overview
nWe are seeking a highly skilled AI Benchmarking & Performance Engineer to evaluate, analyze, and optimize AI workloads across modern computing platforms including CPU, GPU, and NPU architectures. The ideal candidate will have solid expertise in AI model benchmarking, system-level performance analysis, profiling, and optimization for real-world AI applications spanning computer vision, speech processing, robotics, and edge AI deployments.
nThis role requires close collaboration with software, hardware, and AI engineering teams to deliver actionable performance insights and drive optimal utilization of computing resources.
nKey Responsibilities
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- n
- Benchmark AI models such as OpenVLA, YOLOv8, Whisper, Pi Droid, Groot, MLPerf Client,



and similar AI workloads.n
- Analyze key performance metrics including:Latencyn
- Throughput (FPS)n
- Memory Utilizationn
- Power Efficiencyn
- Resource Consumptionn
- Design and execute repeatable benchmark pipelines across multiple hardware platforms.n
- Perform system-level performance analysis to identify bottlenecks in:CPUn
- GPUn
- NPUn
- Memory Subsystemsn
- Data Movement Pipelinesn
- Optimize AI inference pipelines through profiling and performance tuning techniques.n
- Integrate AI models into robotics, edge AI, and production application workflows and evaluate end-to-end performance.n
- Conduct competitive performance comparisons across platforms such as AMD, NVIDIA, Qualcomm, Intel, and ARM-based architectures.n
- Develop automation frameworks for benchmark execution, result collection, and reporting.n
- Generate technical reports, comparative analysis, and performance recommendations f

📌 AI Benchmarking (Vasanthanagar)
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