Principal Compiler Engineer - ML Systems

The Eeo
San Jose, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 280K

Job location

San Jose, United States of America

Tech stack

Systems Engineering
Computer Engineering
Software Debugging
Data Flow Control
Machine Learning
TensorFlow
Software Deployment
PyTorch
Deep Learning
Information Technology
Optimization Algorithms
Machine Learning Operations

Job description

The Principal Compiler Engineer - ML Systems position 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.

Requirements

  • Bachelor's or Master's Degree in Computer Science, Computer Engineering, or equivalent with5-10 years of industry experience., * Deep theoretical understanding of compiler fundamentals.
  • Experience building and deploying software products.
  • Experience with one or more deep learning frameworks (i.e. TensorFlow, PyTorch) is a plus.
  • Experience with common compiler development practices and methodologies.
  • Excitement about high-performance systems engineering and performance debugging.
  • An appreciation for process and developing cross-disciplinary collaboration.

Preferred Qualifications

  • Experience with MLIR.
  • Familiarity with machine learning models and frameworks.
  • Familiarity with accelerated computing.
  • Exposure to dataflow architectures.

Benefits & conditions

SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

About the company

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

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