Join to apply for the Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs role at Amazon Web Services (AWS) 2 weeks ago Be among the first 25 applicants Join to apply for the Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs role at Amazon Web Services (AWS) Get AI-powered advice on this job and more exclusive features. Description

AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium delivers the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and JAX. AWS Neuron is used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. Description

AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium delivers the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and JAX. AWS Neuron is used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments.

The Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations.

The Neuron Compiler team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and JAX, and converts them into code suitable for execution. 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.

As a Machine Learning Compiler Engineer II in 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.

A background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required.

In order to be considered for this role, candidates must be currently located or willing to relocate to Cupertino (perferred), Seattle, Austin.

Basic Qualifications

5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience 2+ years of experience in developing compiler features and optimizations Proficiency with 1 or more of the following programming languages: C++ (preferred), C, Python

Preferred Qualifications

Master or PhD degree in computer science or equivalent Proficiency with resource management, scheduling, code generation, and compute graph optimization Experience optimizing Tensorflow, PyTorch or JAX deep learning models Experience with multiple toolchains and Instruction Set Architectures

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company - Annapurna Labs (U.S.) Inc.

Job ID: A2933318 Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Consulting, and Engineering Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x Get notified about new Machine Learning Engineer jobs in Seattle, WA . Kirkland, WA $141,000.00-$202,000.00 2 days ago Seattle, WA $99,500.00-$187,000.00 6 days ago Data Scientist, Energy Analytics, Google Cloud Seattle, WA $166,000.00-$244,000.00 1 week ago Software Development Engineer in Test (SDET) Kirkland, WA $141,000.00-$202,000.00 2 weeks ago Seattle, WA $126,000.00-$181,000.00 1 week ago Software Developer-Artificial Intelligent/Machine Learning Seattle, WA $100,000.00-$220,000.00 4 months ago Bellevue, WA $130,000.00-$170,000.00 2 weeks ago Seattle, WA $127,000.00-$240,000.00 2 weeks ago Data Scientist – AI/ML Recommendations & Personalization Redmond, WA $100,600.00-$215,400.00 2 days ago Senior Business Data Scientist, Global Affairs Seattle, WA $166,000.00-$244,000.00 2 weeks ago Bellevue, WA $130,000.00-$200,000.00 1 week ago Machine Learning Engineer, Identity Product Seattle, WA $212,000.00-$318,000.00 1 week ago Seattle, WA $147,000.00-$259,000.00 3 days ago Bellevue, WA $147,000.00-$259,000.00 3 days ago Seattle, WA $141,000.00-$202,000.00 2 weeks ago Senior Business Data Scientist, Global Affairs Kirkland, WA $166,000.00-$244,000.00 2 weeks ago Machine Learning Engineer, Computer Vision Senior ML Engineer, Applied Machine Learning Seattle, WA $167,000.00-$185,500.00 14 minutes ago Machine Learning Engineer Graduate (Search E-Commerce - Seattle) - 2025 Start (BS/MS) Seattle, WA $118,657.00-$168,150.00 6 days ago Seattle, WA $141,000.00-$202,000.00 2 hours ago Machine Learning Engineer, Forecast Platform Staff Data Scientist, Product, Workspace Seattle, WA $183,000.00-$271,000.00 2 days ago Software Engineer III, Pixel, Data Analytics Greater Seattle Area $155,000.00-$175,000.00 3 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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