# Lead AI Power & Performance Engineer Source: https://realanalystjobs.com/job/lead-ai-power-and-performance-engineer-amd-28f1451f Lead AI Power & Performance Engineer at AMD, an on-site role based in Bengaluru, India. Experience level: 14+ Years. Posted on 5 November 2026, read from AMD's own careers page (Jibe), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [AMD](https://realanalystjobs.com/companies/amd) - Location: Bengaluru, India - Work mode: On-site - Posted: Nov 5, 2026 - Employment type: Full time - Experience level: 14+ Years - Source: AMD's careers page (Jibe), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python) ## Visa sponsorship The posting does not say. AMD had H-1B petitions approved for 568 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/amd#h1b-record) ## About this role ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career. Lead AI Power & Performance Engineer Role Overview We are seeking an experienced AI Power & Performance Engineer, Lead to join our AI System Power and Performance team. The candidate will lead the evaluation, benchmarking, profiling, and optimization of AI inference workloads across modern CPU, GPU, APU, NPU, and heterogeneous computing platforms. This senior technical role requires deep expertise in AI workload performance, platform architecture, and system-level optimization. The candidate will independently drive benchmarking strategy, complex root-cause analysis, competitive evaluation, and technical recommendations while collaborating with engineering, product, customer, and executive stakeholders. Key Responsibilities • Define and drive the AI performance benchmarking and workload characterization strategy across CPU, GPU, APU, NPU, and heterogeneous platforms. • Benchmark AI inference workloads using PyTorch, ONNX Runtime, vLLM, llama.cpp, TensorFlow, and related frameworks and runtimes. • Analyze key performance metrics, including latency, throughput, time to first token, tokens per second, memory utilization, power consumption, and performance per watt. • Profile workloads and identify bottlenecks across AI frameworks, runtimes, libraries, drivers, operating systems, firmware, memory subsystems, and hardware. • Lead complex root-cause analysis and recommend optimizations related to quantization, graph execution, kernels, memory usage, workload scheduling, and heterogeneous compute utilization. • Conduct competitive benchmarking across AMD and competing CPU, GPU, APU, and AI accelerator platforms. • Collaborate with SoC architects, framework, runtime, compiler, driver, firmware, and system software teams to improve AI workload performance. • Develop and improve automation for benchmark execution, data collection, regression analysis, and results visualization. • Translate benchmarking data into actionable technical recommendations that influence software optimization, hardware design, product strategy, and customer engagements. • Present technical findings and recommendations to engineering teams, customers, executives, and other cross-functional stakeholders. • Provide technical leadership, mentor engineers, and drive alignment across multiple teams. Required Skills & Experience • 10 to 14+ years of relevant experience in AI performance engineering, system performance analysis, workload optimization, benchmarking, or post-silicon performance validation. • Hands-on experience evaluating, benchmarking, and characterizing AI inference workloads on CPU, GPU, APU, NPU, or heterogeneous computing platforms. • Strong experience with PyTorch, ONNX Runtime, vLLM, llama.cpp, TensorFlow, or equivalent AI frameworks and inference runtimes. • Deep expertise in platform architecture, hardware performance, and system-level optimization, including CPU, GPU, NPU, memory, power, and thermal subsystems. • Strong Linux systems expertise, including performance profiling, workload tracing, memory management, workload scheduling, automation, and system-level debugging. • Experience with profiling tools such as Linux perf, AMD uProf, ROCm Profiler, Nsight Systems, VTune, Perfetto, or equivalent tools. • Strong understanding of hardware architecture, memory hierarchy, data movement, power and thermal behavior, and performance trade-offs. • Experience with AI optimization techniques such as quantization, mixed-precision inference, graph optimization, operator fusion, kernel tuning, and memory optimization. • Proficiency in Python and Bash for benchmark automation, data analysis, and reporting. • Working knowledge of C or C++ for performance debugging and low-level workload analysis. • Ability to independently drive benchmarking strategy, competitive analysis, root-cause investigation, and technical recommendations. • Excellent executive, customer-facing, and cross-functional communication skills. • Ability to convert complex performance data into clear technical reports, dashboards, presentations, and actionable recommendations. • Proven ability to provide technical leadership and drive complex initiatives across multiple engineering teams. Preferred Qualifications • Experience with ROCm, Ryzen AI Software, Vitis AI, MIGraphX, or related AI technologies. • Experience with MLPerf Inference or comparable AI benchmarking methodologies. • Knowledge of INT8, INT4, FP16, BF16, and mixed-precision execution. • Experience with large language model inference, including batching, KV-cache management, model parallelism, and memory optimization. • Experience with Docker, virtualization, and containerized AI environments. • Exposure to post-silicon bring-up, early silicon testing, competitive benchmarking, or customer-facing performance analysis. • Experience influencing platform architecture, software roadmaps, product strategy, or customer solutions through data-driven performance analysis. Education Bachelor’s or master’s degree in Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related technical field. \#LI-PK1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to Description from AMD's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/lead-ai-power-and-performance-engineer-amd-28f1451f) and use Apply now there to reach the employer's application. The listing is re-checked against AMD's careers page daily and removed when it closes. ## AMD 20 open analyst roles on Real Analyst Jobs. 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