Tungsten Compiler Engineer for Wafer-Scale AI

Cerebras Systems, Inc.

Sunnyvale (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Open-source research opportunities
Startup culture with job stability
High autonomy and minimal bureaucracy

Job summary

Cerebras Systems, Inc. in Sunnyvale, California is seeking Compiler Engineers for their innovative Tungsten programming language. This role involves designing efficient compilers for wafer-scale AI hardware, collaborating with various technical teams to shape the future of AI computing.

Candidates should ideally have a PhD in Computer Science or Engineering and substantial experience in compiler development. With a commitment to groundbreaking AI advancements, Cerebras offers a unique opportunity to work on technology that surpasses traditional architectures.

Qualifications

  • Strong grasp of instruction sets, memory models, and dataflow execution.
  • Excellent communication and interpersonal skills for team collaboration.
  • Ability to approach compilation as a design problem.

Responsibilities

  • Design and implement compiler passes across the Tungsten toolchain.
  • Collaborate closely with ASIC architects and application researchers.
  • Analyze performance bottlenecks for complex workloads.

Skills

Compiler development
C programming
Computer architecture
Machine Learning frameworks

Education

PhD in Computer Science or Computer Engineering

Tools

MLIR
XLA
TVM

Job description

Cerebras Systems, Inc. in Sunnyvale, California is seeking Compiler Engineers for their innovative Tungsten programming language. This role involves designing efficient compilers for wafer-scale AI hardware, collaborating with various technical teams to shape the future of AI computing.

Candidates should ideally have a PhD in Computer Science or Engineering and substantial experience in compiler development. With a commitment to groundbreaking AI advancements, Cerebras offers a unique opportunity to work on technology that surpasses traditional architectures.

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