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Senior Staff AI Accelerator Performance Architect

Cerebras· Hardware
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Sunnyvale, CA$175k - $275kFull-timePosted 1mo ago

About the role

Senior staff performance architect focusing on guiding the evolution of Cerebras' next-generation wafer-scale AI systems through rigorous performance analysis, modeling and collaboration with architecture, compiler, kernel, runtime and systems teams.

Responsibilities

  • 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.
  • Study how models and kernels map onto the underlying compute, memory and communication architecture.
  • Partner with architecture, compiler, kernel, runtime and systems teams to evaluate alternative mappings and optimizations.
  • Develop workload projections and competitive performance analyses grounded in transparent assumptions.
  • Create concise recommendations that translate complex performance results into architectural and product decisions.
  • Improve modeling methodology, validation and correlation with RTL, emulation and silicon measurements.
  • Help define representative workloads, performance targets and success criteria for future products.

Qualifications

  • 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.
  • Experience profiling workloads, forming performance hypotheses and validating them with quantitative evidence.
  • Understanding of how software mapping and programmability affect realized hardware performance.
  • Ability to communicate modeling assumptions, uncertainty, bottlenecks and recommendations clearly.
  • MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent practical experience.

Skills

Required:Performance modelingWorkload analysisHardware architecturePython / C++
Last updated Oct 4, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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