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 their cloud services.
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. As a Lab Engineer in the Machine Learning Acceleration team, you'll be responsible for:
We are looking for candidates who thrive in a fast-paced start-up like environment and can work independently to deliver multiple projects in parallel. You need to be highly motivated and detail-oriented while meeting the highest standards, time to market, cost, and quality goals.
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. 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 engineering expertise.
AWS values diverse experiences and encourages candidates to apply even if they don't meet all qualifications listed in the job description.
Key Responsibilities:
This role offers opportunities for ongoing learning, mentorship, and career growth within AWS, which strives to become Earth's Best Employer.