Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
Company: Annapurna Labs (U.S.) Inc.
Location: Auburn
Posted on: August 28, 2024
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Job Description:
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 Apps 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 and inference support into Pytorch,
Tensorflow, Jax 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 teamAbout UsInclusive Team
CultureHere 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
BalanceOur 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 GrowthOur 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- - Machine Learning knowledge in frameworks and end
to end model training.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 $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.
Keywords: Annapurna Labs (U.S.) Inc., Auburn , Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training, IT / Software / Systems , Auburn, Washington
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