System Development Engineer, Annapurna Labs, Machine Learning Accelerator Systems - Fleet Triage
Company: Annapurna Labs (U.S.) Inc.
Location: Raleigh
Posted on: April 30, 2024
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Job Description:
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.In Annapurna Labs we are at the forefront of
hardware/software co-design not just in Amazon Web Services (AWS)
but across the industry. The Machine Learning System Operations and
Automation Team is looking for candidates interested in writing
automation software for our "fleet" of Machine Learning servers
deployed around the world. Do you like solving mysteries? Great!
Figuring out what that light switch with no obvious function
actually does? Me too! Are you wearing a smartwatch to monitor your
sleep and activity over time to optimize your routines? You'll fit
right in. Does the word exabyte excite you? Let's get to work. Our
team writes truly massive scale autonomous software to monitor,
optimize, and remediate hardware in the most advanced servers in
the world. Come join us!Key job responsibilities- Member of a team
responsible for system remediation, operational excellence, and
customer experience on bleeding edge ML products- Utilize data to
root cause hardware failures and identify live trends on the most
complex systems in AWS- Implement and improve system level testing
across the product lifecycle- Develop software which can be
maintained, improved upon, documented, tested, and reused- Dive
deep on issues at the intersection of hardware and softwareA 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 teamThe MLA Systems Fleet Triage team is
responsible for identifying and responding to the most challenging
hardware and software failures from ML optimized servers at scale.
We work in tandem with hardware design, firmware, and validation
teams to improve test coverage and detection in production
environments. Why AWS?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 flexible work hours and arrangements are part of
our 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
engineers 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:Raleigh, NC, USA
BASIC QUALIFICATIONS- 2+ years of non-internship professional
software development experience- 1+ years of designing or
architecting (design patterns, reliability and scaling) of new and
existing systems experience- 3+ years of administrative experience
in networking, storage systems, operating systems and hands-on
systems engineering experience- Knowledge of systems engineering
fundamentals (networking, storage, operating systems)- Experience
programming with at least one modern language such as C++, C#,
Java, Python, Golang, PowerShell, Ruby
PREFERRED QUALIFICATIONS- 3+ years of experience designing,
validating, or debugging, one of the following hardware areas:
PCIe, HBM, Power Management, I2C- 3+ years of experience with one
or more scripting language: Bash, Python, Lua, PerlAmazon 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.
Keywords: Annapurna Labs (U.S.) Inc., Cary , System Development Engineer, Annapurna Labs, Machine Learning Accelerator Systems - Fleet Triage, Professions , Raleigh, North Carolina
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