Software Engineer- AI/ML, AWS Neuron Distributed Training
Company: Annapurna Labs (U.S.) Inc.
Location: Bellevue
Posted on: September 22, 2024
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Job Description:
Do you love investigating problems to develop products that
impact millions of people around the world? Would you enjoy
identifying, defining, and building software solutions that
revolutionize how businesses operate?AWS Utility Computing (UC)
provides 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, Platform, and Productivity Apps
services in AWS, including support for customers who require
specialized security solutions for their cloud services.
Additionally, this role may involve exposure to and experience with
Amazon's growing suite of generative AI services and other
cutting-edge cloud computing offerings across the AWS
portfolio.Annapurna Labs (our organization within AWS UC) designs
silicon and software that accelerates innovation. Customers choose
us to create cloud solutions that solve challenges that were
unimaginable a short time ago-even yesterday. Our custom chips,
accelerators, and software stacks enable us to take on technical
challenges that have never been seen before, and deliver results
that help our customers change the world.The Annapurna Labs team at
Amazon Web Services (AWS) is looking for a Software Development
Engineer II to build, deliver, and maintain complex products that
delight our customers and raise our performance bar. You'll design
fault-tolerant systems that run at massive scale as we continue to
innovate best-in-class services and applications in the AWS Cloud.
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.
AWS Neuron is the complete software stack for the AWS Inferentia
and Trainium cloud-scale machinelearning accelerators and the Trn1
and Inf1 servers that use them. This role is for a senior software
engineer in the Machine Learning Applications (ML Apps) team for
AWS Neuron. This role is responsible for development, enablement
and performance tuning of a wide variety of ML model families,
including massive scale large language models like GPT2, GPT3 and
beyond, as well as stable diffusion, Vision Transformers and many
more. The ML Distributed Training team works side by side with chip
architects, compiler engineers and runtime engineers to create ,
build and tune distributed training solutions with Trn1. Experience
training these large models using Python is a must. FSDP, Deepspeed
and other distributed training libraries are central to this and
extending all of this for the Neuron based system is key.Key job
responsibilitiesThis role will help lead the efforts building
distributed training support into Pytorch, Tensorflow using XLA and
the Neuron compiler and runtime stacks. This role will help tune
these models to ensure highest performance and maximize the
efficiency of them running on the customer AWS Trainium and
Inferentia silicon and the TRn1 , Inf1 servers. Strong software
development and ML knowledge are both critical to this role.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.
BASIC QUALIFICATIONS- 3+ years of non-internship professional
software development experience- 3+ 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- Deep Learning industry
experience
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-
Preferred previous software engineer expertise with
Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks,
End-to-end Model Training. The group presents lot of opportunity
for optimization and scaling large deep learning models on Trainium
architecture.Amazon 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 $129,300/year in our
lowest geographic market up to $223,600/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., Bellevue , Software Engineer- AI/ML, AWS Neuron Distributed Training, IT / Software / Systems , Bellevue, Washington
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