ML Compiler Engineer, Neuron Kernel Interface

Amazon Inc.; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon is seeking an ML Compiler Engineer for the Neuron team in Seattle. You will design and ship compiler features across the stack, work with PyTorch/JAX workloads, and optimize performance on Trainium hardware.

Candidates should have multiple years in software development and a background in ML accelerators; relocation to Seattle or Cupertino is encouraged. You will mentor engineers and collaborate with hardware teams to push silicon and software together.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture of new and existing systems.
• 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.
• 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.

Responsibilities

• Design and build compiler features for the Neuron compilers across frontend to code generation for 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 workloads.
• Give hardware teams compiler and programmability feedback on upcoming chips.
• Review code and designs, and mentor newer engineers.

Skills

3+ years of non-internship software

2+ years of design or architecture

1+ years of SWE or related experience

1+ years designing large-scale, multi‑

1+ years of Object Oriented Design

Bachelor's degree or foreign equival.

Experience programming in at least one

Education

Bachelor's degree in Computer Science, Engineering, Mathematics

Bachelor's degree in computer science or equivalent

Job description

ML Compiler Engineer, Neuron Kernel Interface

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

• https://awsdocs-neuron.readthedocs-hosted.com/en/latest/nki/index.html

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.

Learn more about our history

• https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success

Explore the Product

• https://aws.amazon.com/machine-learning/neuron/

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.

Basic Qualifications

• 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

Preferred Qualifications

• 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 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.

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 https://amazon.jobs/en/benefits .

USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.