Principal AI Accelerator Performance Architect

Cerebras; Sunnyvale (CA); On-site; USD 175,000 - 275,000; Full time

Job summary

Cerebras Systems seeks a Senior Staff AI Accelerator Performance Architect in Sunnyvale to guide evolution of next-gen AI systems. You will connect workloads to architectural behavior and identify bottlenecks that matter.

Work across architecture, compiler, kernel, runtime and systems teams to deliver trusted models, workload insights and architectural recommendations while shaping product roadmaps. Competitive compensation.

Qualifications

• 7+ years of experience in performance analysis or architecture exploration for CPUs, GPUs, AI accelerators or similar HPC systems.
• Strong understanding of hardware architecture through hardware, compiler, kernel, runtime or system-performance work.
• Experience developing analytical, simulation-based or trace-driven models using Python, C++ or similar.
• Solid understanding of processor architecture, memory systems, interconnects and parallel execution.
• Ability to move between kernel-level behavior and end-to-end performance.
• Experience profiling workloads and validating with quantitative evidence.
• Ability to communicate modeling assumptions and bottlenecks clearly.
• MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent practical experience.

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 kernels through end-to-end inference and training execution to determine bottlenecks.
• 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.

Skills

Performance analysis

Performance modeling

Architecture exploration

Python

C++

Hardware knowledge

Kernel and system-performance

Education

MS or PhD in Electrical Engineering, Computer Engineering, Computer Science

Tools

Python

C++

Job description

Cerebras Systems seeks a Senior Staff AI Accelerator Performance Architect in Sunnyvale to guide evolution of next-gen AI systems. You will connect workloads to architectural behavior and identify bottlenecks that matter.

Work across architecture, compiler, kernel, runtime and systems teams to deliver trusted models, workload insights and architectural recommendations while shaping product roadmaps. Competitive compensation.