Senior Staff AI Accelerator Performance Architect

Job summary

Responsibilities

We are looking for a performance architect to guide the evolution of our next-generation AI systems. You will connect real workloads to architectural behavior, identify the bottlenecks that matter, quantify potential improvements and influence hardware and software roadmaps through rigorous…

• Own and evolve performance models and modeling methodologies for next-generation accelerator and system architectures.
• Build and extend analytical, simulation-based or trace-driven models across workloads, architectural features and product generations.
• Analyze important AI workloads, from individual kernels through end-to-end inference and training execution, to determine where time, bandwidth, compute and capacity are spent.
• Identify hardware and software bottlenecks and quantify opportunities to improve latency, throughput, utilization and energy efficiency.
• Evaluate proposed architectural features and determine their expected performance return across representative workloads.

What they're looking for

• 7+ years of experience in performance analysis, performance modeling or architecture exploration for CPUs, GPUs, AI accelerators or other high-performance computing systems.
• Strong understanding of hardware architecture developed through hardware, compiler, kernel, runtime or system-performance work.
• Experience developing analytical, simulation-based or trace-driven performance models using Python, C++ or similar environments.
• Solid understanding of processor architecture, memory systems, interconnects, parallel execution and hardware resource constraints.
• Ability to move between kernel-level behavior and end-to-end application or system performance.

Tech stack

• Python
• C++