Software Engineer- AI/ML, AWS Neuron Distributed Training
Company: Annapurna Labs (U.S.) Inc.
Location: Kent
Posted on: September 24, 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 machine
learning 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
responsibilities
This 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 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
AWS 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 AWS
Amazon 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
Culture
Here 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
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. Mentorship & Career Growth
We'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
Work
We 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 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 This position will remain posted until
filled. Applicants should apply via our internal or external career
site.
Keywords: Annapurna Labs (U.S.) Inc., Kent , Software Engineer- AI/ML, AWS Neuron Distributed Training, IT / Software / Systems , Kent, Washington
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