Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs

Do you want to be part of AI revolution? At Amazon our vision is to make deep

learning pervasive for everyday developers and to democratize access to AI

hardware and software infrastructure. In order to deliver on that vision, we’ve

created innovative software and hardware solutions that make it possible. AWS

Neuron is the SDK that optimizes the performance of complex ML models executed

on AWS Inferentia and Trainium, our custom chips designed to accelerate

deep-learning workloads.

This role is for a software engineer in the Compiler team for AWS Neuron. As

part of this role, you will be responsible for building next generation Neuron

compiler which transforms ML models written in ML frameworks (e.g, PyTorch,

TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in

the Amazon cloud. You will be responsible for solving hard compiler optimization

problems to achieve optimum performance for variety of ML model families

including massive scale large language models like Llama, Deepseek, and beyond

as well as stable diffusion, vision transformers and multi-model models. You

will be required to understand how these models work inside-out to make informed

decisions on how to best coax the compiler to generate optimal implementation

instruction. You will leverage your technical communications skill to partner

with internal and external customers/stakeholders and will be involved in

pre-silicon design, bringing new products/features to market, ultimately, making

Neuron compiler highly performant and easy-to-use.

Experience in object-oriented languages like C++/Java is a must, experience with

compilers or building ML models using ML frameworks on accelerators (e.g., GPUs)

is preferred but not required.

Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus!

Explore the product and our history!

https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index

htmlhttps://aws.amazon.com/machine-learning/neuron/

https://github.com/aws/aws-neuron-sdk

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

AWS Utility Computing (UC) provides product innovations — from foundational

services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute

Cloud (EC2), to consistently released new product innovations that continue to

set AWS’s services and features apart in the industry. As a member of the UC

organization, you’ll support the development and management of Compute,

Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps

services in AWS, including support for customers who require specialized

security solutions for their cloud services.

Key job responsibilities

You will design, implement, test, deploy and maintain innovative software

solutions to transform Neuron compiler’s performance, stability and

user-interface. You will work side by side with chip architects, runtime/OS

engineers, scientists and ML Apps teams to seamlessly deploy state of the art ML

models from our customers on AWS accelerators with optimal cost/performance

benefits. You will have opportunity to work with open-source software (e.g.,

StableHLO, OpenXLA, MLIR) to pioneer optimizing advanced ML workloads on AWS

software and hardware. You will also work on building innovative features that

will deliver best possible experiences for our customers – developers across the

globe.

A day in the life

As you design and code solutions to help our team drive efficiencies in compiler

architecture, you’ll create compiler optimization and verification passes, build

features surface features and peculiarities of AWS accelerators to developers,

implement tools to analyze numerical errors, and resolve the root cause of

compiler defects. You’ll also participate in design discussions, code review,

and communicate with internal (other Neuron SDK and Amazon wide teams) and

external stakeholders (open-source communities). Lastly, work in a startup-like

development environment, where you’re always working on the most important

stuff.

About the Team

Our team is dedicated to supporting new members. We have a broad mix of

experience levels and tenures, and we’re building an environment that celebrates

knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring

and thorough, but kind, code reviews. We care about your career growth and

strive to assign projects that help our team members develop your engineering

expertise so you feel empowered to take on more complex tasks in the future.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the

qualifications and skills listed in the job description, we encourage candidates

to apply. If your career is just starting, hasn’t followed a traditional path,

or includes alternative experiences, don’t let it stop you from applying.

Inclusive Team Culture

Here at Amazon, it’s in our nature to learn and be curious. Our employee-led

affinity groups foster a culture of inclusion that empower us to be proud of our

differences. Ongoing events and learning experiences, including our

Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us

to never stop embracing our uniqueness.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the

expense of sacrifices at home, which is why we strive for flexibility as part of

our working culture. When we feel supported in the workplace and at home,

there’s nothing we can’t achieve in the cloud.

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
• - Experience programming with at least one software programming language

Preferred Qualifications

• - Master's degree or PhD in Computer Science, or a
• related technical field.
• - 3+ years of experience writing production grade code in object-oriented
• languages such as C++/Java.
• - Experience in compiler design for CPU/GPU/Vector engines/ML-accelerators.
• - Experience with OpenSource compiler toolset like LLVM/MLIR.
• - Experience with the following technologies: PyTorch, OpenXLA, StableHLO, JAX,
• TVM, deep learning models, and algorithms.
• - Experience with modern build systems like Bazel/CMake.
• 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
• [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
• [https://amazon.jobs/en/benefits].
• USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually