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Amazon.composted 4 days ago
$151,300 - $261,500/Yr
Full-time • Senior
Hybrid • Seattle, WA
General Merchandise Retailers
Resume Match Score

About the position

Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Neuron Compiler team is searching for compiler-skilled engineering talent to support the development and scaling of a compiler to enable the world's largest ML workloads to run performantly on these custom Annapurna systems. The Product: The AWS Machine Learning accelerators represent a pinnacle of AWS technologies, specifically designed for advancing AI capabilities. The Inferentia/Trainium chips specifically offer unparalleled ML inference and training performances. They are enabled through state-of-the-art software stack - the AWS Neuron Software Development Kit (SDK). This SDK comprises an ML compiler, runtime, and application framework, which seamlessly integrate into popular ML frameworks like PyTorch. AWS Neuron, running on Inferentia and Trainium, is trusted and used by leading customers such as Snap, Autodesk, and Amazon Alexa. The Team: Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered over the last few years. Within this ecosystem, the Neuron Compiler team is developing a deep learning compiler stack that takes state of the art LLM and Vision models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators. The team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance. You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron Compiler team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and contributing to a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects.

Responsibilities

  • Solve challenging technical problems, often ones not solved before, at every layer of the stack.
  • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
  • Build high-quality, highly available, always-on products.
  • Research implementations that deliver the best possible experiences for customers.
  • Build high-impact solutions to deliver to our large customer base.
  • Participate in design discussions, code review, and communicate with internal and external stakeholders.
  • Work cross-functionally to help drive business decisions with your technical input.
  • Work in a startup-like development environment, where you're always working on the most important stuff.

Requirements

  • 6+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 5+ years of experience in developing compiler features and optimizations
  • Proficiency with 1 or more of the following programming languages: C++, C, Python

Nice-to-haves

  • Masters degree or PhD in computer science or equivalent
  • Experience optimizing Tensorflow, PyTorch or JAX deep learning models
  • Experience with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM

Benefits

  • 401k
  • health_insurance
  • dental_insurance
  • vision_insurance
  • life_insurance
  • disability_insurance
  • paid_holidays
  • paid_volunteer_time
  • tuition_reimbursement
  • employee_stock_purchase_plan
  • performance_bonus
  • sign_on_bonus
  • relocation_assistance
  • flexible_scheduling
  • professional_development

Job Keywords

Hard Skills
  • Amazon Alexa
  • AWS Inferentia
  • Python
  • PyTorch
  • TensorFlow
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