The Product: 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 will deliver 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 MxNet. AWS Neuron and
Inferentia are used at scale with customers like Snap, Autodesk,
Amazon Alexa, Amazon Rekognition and more customers in various
other segments. The Team: As a whole, 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 AWS Neuron team
works to optimize the performance of complex neural net models on
our custom-built AWS hardware. More specifically, the AWS Neuron
team is developing a deep learning compiler stack that takes neural
network descriptions created in frameworks such as TensorFlow,
PyTorch, and MXNET, and converts them into code suitable for
execution. As you might expect, 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 team, you
will be a thought leader 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 mentoring 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 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, or Toronto. About the
team Inclusive Team Culture Here at AWS, we embrace our
differences. We are committed to furthering our culture of
inclusion. We have ten employee-led affinity groups, reaching
40,000 employees in over 190 chapters globally. We have innovative
benefit offerings, and host annual and ongoing learning
experiences, including our Conversations on Race and Ethnicity
(CORE) and AmazeCon (gender diversity) conferences. Amazon’s
culture of inclusion is reinforced within our 16 Leadership
Principles, which remind team members to seek diverse perspectives,
learn and be curious, and earn trust. Work/Life Balance Our team
puts a high value on work-life balance. It isn’t about how many
hours you spend at home or at work; it’s about the flow you
establish that brings energy to both parts of your life. We believe
striking the right balance between your personal and professional
life is critical to life-long happiness and fulfillment. We offer
flexibility in working hours and encourage you to find your own
balance between your work and personal lives. Mentorship &
Career Growth 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. We care about your career growth and strive to assign
projects based on what will help each team member develop into a
better-rounded professional and enable them to take on more complex
tasks in the future. BASIC QUALIFICATIONS - 5+ years of
non-internship professional software development experience - 5+
years of programming with at least one software programming
language experience - 5+ years of leading design or architecture
(design patterns, reliability and scaling) of new and existing
systems experience - 5+ years of full software development life
cycle, including coding standards, code reviews, source control
management, build processes, testing, and operations experience -
Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS - 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/accommodationsfor 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. Posted: March 4, 2025
(Updated about 2 hours ago) Posted: February 12, 2025 (Updated
about 2 hours ago) Posted: January 14, 2025 (Updated about 2 hours
ago) Posted: May 7, 2025 (Updated about 3 hours ago) Posted: May 7,
2025 (Updated about 3 hours ago) Share this job Important FAQs for
current Government employees Before proceeding, please review the
following FAQs
https://amazon.jobs/en/faqs#faqs-for-us-government-employeesAmazon
is an equal opportunity employer and does not discriminate on the
basis of protected veteran status, disability, or other legally
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