Sr. Compiler Engineer III - Machine Learning, Annapurna Labs
Company: Annapurna Labs (U.S.) Inc.
Location: Pacific
Posted on: May 12, 2024
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Job Description:
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.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 (preferred), Seattle, Austin.Key job
responsibilitiesOur engineers collaborate across diverse teams,
projects, and environments to have a firsthand impact on our global
customer base. You'll bring a passion for innovation, data, search,
analytics, and distributed systems. You'll also: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.A day in the lifeAs you design and code
solutions to help our team drive efficiencies in software
architecture, you'll create metrics, implement automation and other
improvements, and resolve the root cause of software defects.
You'll also: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.About the
teamOur 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 ExperiencesAWS 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. About AWSAmazon Web Services (AWS) is the world's most
comprehensive and broadly adopted cloud platform. We pioneered
cloud computing and never stopped innovating - that's why customers
from the most successful startups to Global 500 companies trust our
robust suite of products and services to power their
businesses.Inclusive Team CultureHere at AWS, 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 (gender
diversity) conferences, inspire us to never stop embracing our
uniqueness.Work/Life BalanceWe 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. Mentorship & Career
GrowthWe're continuously raising our performance bar as we strive
to become Earth's Best Employer. That's why you'll find endless
knowledge-sharing, mentorship and other career-advancing resources
here to help you develop into a better-rounded professional. Hybrid
WorkWe value innovation and recognize this sometimes requires
uninterrupted time to focus on a build. We also value in-person
collaboration and time spent face-to-face. Our team affords
employees options to work in the office every day or in a flexible,
hybrid work model near one of our US Amazon offices. Our hybrid
models allow you the freedom to work from home whenever in-office
collaboration isn't necessary.We are open to hiring candidates to
work out of one of the following locations:Austin, TX, USA -
Cupertino, CA, USA - Seattle, WA, USA
BASIC QUALIFICATIONS- 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
PREFERRED QUALIFICATIONS- 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, TVMAmazon 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. For
individuals with disabilities who would like to request an
accommodation, please visit
https://www.amazon.jobs/en/disability/us.Our compensation reflects
the cost of labor across several US geographic markets. The base
pay for this position ranges from $134,500/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.
Keywords: Annapurna Labs (U.S.) Inc., South Hill , Sr. Compiler Engineer III - Machine Learning, Annapurna Labs, Engineering , Pacific, Washington
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