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Compiler Architect

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Onsite

Compiler Architect

SambaNova Systems

Compiler Architect

Skills

Deep LearningPyTorchTensorFlowMachine Learning

2 months ago

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Important information


Contract type:

Permanent

Salary:

$210,000 – $280,000 / year

Location:

San Jose, CA, USA

Work mode:

Onsite

Published on:

20 August 2026

What they need


  • As a Compiler Architect you will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova
  • It is a critical role responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art ML model performance on the SambaNova platform
  • This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware
  • Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution
  • Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions
  • Develop, integrate, and implement products
  • Provide support for proposals in key areas aligned with core team competencies

Benefits

  • Flexible PTO in US
  • Parental Leave
  • Benefits (medical, dental and vision)
  • Flexible Spending Accounts
  • 401k/Pensions
  • Gym Access
  • Flexible Working Hours- Experience with common compiler development practices and methodologies
  • An appreciation for process and developing cross-disciplinary collaboration
  • Deep theoretical understanding of compiler fundamentals
  • Experience building and deploying software products
  • Excitement about high-performance systems engineering and performance debugging
  • Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent with 5-10 years of industry experience
  • Experience with one or more deep learning frameworks (i.e. TensorFlow, PyTorch) is a plus
  • Familiarity with machine learning models and frameworks
  • Familiarity with accelerated computing
  • Exposure to dataflow architectures
  • Experience with MLIR

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