Principal AI Accelerator Performance Architect

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

Job summary

Cerebras Systems in Sunnyvale, CA, is seeking a Senior Staff AI Accelerator Performance Architect to guide the evolution of next-generation AI systems. You will map real workloads to architectural behavior, identify bottlenecks and quantify improvements to influence hardware and software roadmaps.

This role requires deep knowledge of hardware architecture gained through hardware, compiler, kernel or system-performance work, and the ability to work at the intersection of applications, kernels,

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.

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 to end-to-end inference and training, to identify where time, bandwidth and compute are spent.
• Identify bottlenecks and quantify opportunities to improve latency, throughput, utilization and energy efficiency.
• Evaluate proposed architectural features and determine their expected performance return across workloads.
• Study how models and kernels map onto the underlying compute, memory and communication architecture.

Skills

Performance analysis

Performance modeling

Architecture exploration

Python

C++

End-to-end performance

Hardware architecture

Workloads profiling

Education

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

Tools

RTL simulation

Emulation

FPGA prototypes

Job description

Cerebras Systems in Sunnyvale, CA, is seeking a Senior Staff AI Accelerator Performance Architect to guide the evolution of next-generation AI systems. You will map real workloads to architectural behavior, identify bottlenecks and quantify improvements to influence hardware and software roadmaps.

This role requires deep knowledge of hardware architecture gained through hardware, compiler, kernel or system-performance work, and the ability to work at the intersection of applications, kernels,