Job description

AWS Machine Learning accelerators are at the forefront of AWS innovation. Trainium delivers best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, the Neuron Kernel Interface (NKI) compiler, and a runtime that natively integrates into popular ML frameworks such as PyTorch and JAX. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming AWS Trainium instances. You can use NKI to develop, optimize, and run new operators directly on hardware while making full use of available compute and memory resources. Explore NKI: - awsdocs-neuron.readthedocs-hosted.com AWS Neuron is used at scale by customers such as Epic Games, Snap, Airbnb, Autodesk, Amazon Alexa, and Amazon Rekognition, along with many others across a range of segments. Amazon's Annapurna Labs is responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation, combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. With such breadth of talent, there is opportunity to learn all the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it makes for a unique learning culture. Learn more about our history: - amazon.science Explore the Product: - aws.amazon.com As an ML Compiler Engineer with the Annapurna Neuron team, you develop and scale compilers to handle the world's largest ML workloads on AWS Trainium. You design and ship features across the compiler stack, work directly with Amazon ML partner teams to unblock their workloads, and grow your skills alongside senior engineers. You want to work close to the hardware, help bring new products and features to market, and ship high-quality code. A background in Machine Learning, AI accelerators, or Kernel performance is helpful, but not required. In order to be considered for this role, candidates must be located near or willing to relocate to Seattle or Cupertino. Key job responsibilities - Design and build compiler features for the Neuron compilers. Your work may span the frontend, intermediate representations, optimization passes, and code generation for the hardware. - Own features from design through production: design, implement, test on hardware and simulation, and support customers. - Work with Amazon ML teams (PyTorch, JAX, and internal model teams) to understand their workloads and unblock them. - Give hardware teams compiler and programmability feedback on upcoming chips. - Review code and designs, and mentor newer engineers. A day in the life You start the day reviewing a teammate's code for a new compiler feature, leaving feedback before it merges. Mid-morning, you work with a model team whose kernel isn't reaching peak performance on Trainium, and you trace the bottleneck through the compiler's passes. After lunch, you write and test the feature you designed last week, then run it on hardware to confirm correctness. The team moves quickly and you are always in the details. About the team We are the compiler teams behind AWS Neuron, the software that runs machine learning models on Amazon Trainium. Our ML compiler takes a full model from PyTorch or JAX and compiles the graph to run across the chip. The Neuron Kernel Interface (NKI) is a bare-metal language and compiler that lets customers program Trainium directly, down to the compute and memory, for a new operator or a faster kernel. Together we own the path from framework model to silicon. Our mission is to make Trainium fast and fully programmable. Our teams are small and agile, and there is opportunity to learn all the time. We work closely with the hardware, runtime and framework teams, and with the Amazon ML teams who use our compilers. - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at amazon.jobs . USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

Requirements

Must-haves

AWS Neuron is used at scale by customers such as Epic Games, Snap, Airbnb, Autodesk, Amazon Alexa, and Amazon Rekognition, along with many others across a range of segments.
A background in Machine Learning, AI accelerators, or Kernel performance is helpful, but not required.
In order to be considered for this role, candidates must be located near or willing to relocate to Seattle or Cupertino.
Key job responsibilities
Design and build compiler features for the Neuron compilers. Your work may span the frontend, intermediate representations, optimization passes, and code generation for the hardware.
Own features from design through production: design, implement, test on hardware and simulation, and support customers.
Work with Amazon ML teams (PyTorch, JAX, and internal model teams) to understand their workloads and unblock them.
Give hardware teams compiler and programmability feedback on upcoming chips.
Review code and designs, and mentor newer engineers.
A day in the life
About the team
Our teams are small and agile, and there is opportunity to learn all the time. We work closely with the hardware, runtime and framework teams, and with the Amazon ML teams who use our compilers.
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
1+ years of software development engineer or related occupational experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

Nice-to-haves

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Keywords to mirror

awsmachine learningmlagileaijava

Platform: amazon
Effort: medium

Benefits

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Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave