Sr. Software Engineer, Annapurna Labs, ML Acceleleration

Amazon • Cupertino, CA

1d

About The Position

The Machine Learning Platform Software Team is looking for a Senior Software
Engineer who wants to develop industry leading acceleration platforms with an
affinity towards efficient, robust, and highly available systems.

AWS Utility Computing (UC) provides product innovations — from foundational
services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute
Cloud (EC2), to consistently released new 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, Internet of Things (Iot), Platform, and Productivity Apps
services in AWS, including support for customers who require specialized
security solutions for customers who require specialized security solutions for
their cloud services.

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 team is focused on our organization's ability to scale. Automation, software
best practices, and good architectural abstractions are key to this endeavor.

You will have the opportunity to develop software in a highly cross-functional
environment, working side by side with software and hardware teams to optimize
customer experience. You will be responsible for building scalable software
systems that can be tested throughout the stages of product development
including manufacturing and production. You will leverage automation, continuous
integration, and fleet metrics to deploy and monitor your changes.

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.

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.

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/accommodations
[https://amazon.jobs/content/en/how-we-hire/accommodations] for more
information. If the country/region you’re applying in isn’t listed, please
contact your Recruiting Partner.

Requirements

• 6+ years of programming with at least one software programming language experience
• 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Nice To Haves

• Bachelor's degree in computer science or equivalent

Responsibilities

• You will develop software that initializes machine learning accelerators and monitor server health by collecting sensor data, logs, and device metrics.
• Evaluate and optimize firmware performance
• Develop tests to validate firmware
• Develop systems software
• Build data collection and aggregation systems at AWS scale
• Build error detection and recovery mitigation systems at AWS scale

Benefits

• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level