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AI Compiler Engineering Lead

2 months ago

Portland, Oregon, United States Ampere Computing Full time
About the Role

Ampere Computing is seeking a highly skilled AI Compiler Engineering Lead to spearhead the design and development of advanced compilers for our upcoming AmpereOne Aurora products.

Key Responsibilities
  • Manage the compiler architecture and make substantial contributions to its backend development.
  • Develop a functional AI compiler (either ahead-of-time or just-in-time) along with an associated runtime environment, ensuring robust performance and reliability.
  • Lead the Ampere Computing AI compiler software efforts, driving innovation and excellence in Ampere's compiler technology.
  • Work hand-in-hand with the silicon design team to enhance the Ampere Aurora AI accelerator, contributing to cutting-edge hardware-software integration.
  • Design and implement advanced solutions and enhancements for prominent machine learning libraries, including PyTorch, JAX, vLLM, and ONNX (C++), significantly boosting their performance and capabilities.
  • Conduct in-depth analyses of neural network models, identifying and proposing optimizations at multiple levels including model architecture, framework efficiency, compilation process, and execution speed, leading to substantial performance improvements.
Requirements
  • Master's or PhD degree in Computer Science, Electrical Engineering, Mathematics, or a similar quantitative field and 15 years of overall software engineering experience.
  • Strong Proficiency in Python and C/C++ Languages: Bring your expertise and passion for programming with at least 4 years of hands-on experience in Python and C/C++, driving innovative solutions through powerful code.
  • Experience with Large-Scale Software Systems: Showcase your background working on substantial software projects, especially in the realm of compilers or domain-specific compilers, contributing to robust, high-performance systems.
  • Knowledge of Essential Tools: Demonstrate your command of vital development tools such as Linux, Git, GCC, and LLVM, ensuring smooth, efficient workflows and high-quality results.
  • Adaptability in a Startup Environment: Thrive in our fast-paced, dynamic startup culture where your ability to take initiative and achieve impactful results is highly valued and rewarded.
  • Familiarity with Machine Learning and Deep Learning: Leverage your expert knowledge of machine learning and deep learning, with hands-on experience in popular frameworks like TensorFlow, PyTorch,, and vLLM, to drive groundbreaking advancements in AI technologies.
What We Offer
  • A competitive total rewards package that includes base pay, bonus, equity, and comprehensive benefits.
  • A full base pay range for this role is between $195,400 and $325,600, except in the San Francisco Bay Area where the range is between $201,400 and $335,600.
  • An annual bonus program tied to internal company goals and annual meritocratic equity awards that enable our employees to participate in the success of the company.
  • Health, wellness, and financial programs that support employees through every stage of life, with full benefits eligibility at 20 hours per week.