Cerebras Systems

Cerebras Systems

Senior Staff AI Accelerator Performance Architect

Sunnyvale, CA · Staff+

Sponsorship not specified$175k-$275kDetected 33 days ago
PythonC++NLPComplianceFPGAElectrical EngineeringCommunication

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

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Green-card filing pattern in this occupation

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Files H-1B transfers

22 transfer filings in the last year, covering 22 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
  • Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
  • OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

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.
  • 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.
  • This is a performance and architecture role, not a production RTL-design position.
  • This role evaluates architectural features and recommends improvements; the AI Accelerator Architect owns the detailed feature definition and implementation-ready microarchitecture specification.
  • People who are serious about software make their own hardware.

Requirements

  • 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.
  • 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.
  • Ability to communicate modeling assumptions, uncertainty, bottlenecks and recommendations clearly.
  • MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent practical experience.

Compensation

  • The base salary range for this position is $175,000 to $275,000 annually.

Benefits

  • Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

Company info

  • Build a breakthrough AI platform beyond the constraints of the GPU.
  • Publish and open source their cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Enjoy job stability with startup vitality.
  • Our simple, non-corporate work culture that respects individual beliefs.
  • At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry.
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This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.