Software Development Engineer Ii, Aws Sagemaker Training

DESCRIPTIONAWS 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 At AWS AI we want to make it easy for our customers to train their deep learning workload in the cloud With Amazon SageMaker Training we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors As our customers rapidly adopt LLMs and Generative AI for their business we re building the next-generation AI platform to accelerate their development We re seeking a dedicated software engineer to drive building our next-generation AI compute platform that s optimized for LLMs and distributed training At AWS AI we want to make it easy for our customers to train their deep learning workload in the cloud With Amazon SageMaker Training we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors As our customers rapidly adopt LLMs and Generative AI for their business we re building the next-generation AI platform to accelerate their development We re seeking a dedicated software engineer to drive building our next-generation AI compute platform that s optimized for LLMs and distributed training Key job responsibilities As an SDE you will be responsible for designing developing testing and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base In this you will collaborate closely with a team of ML scientists and customers to influence our overall strategy and define the team s roadmap You ll assist in gathering and analyzing business and functional requirements and translate requirements into technical specifications for robust scalable supportable solutions that work well within the overall system architecture You will also drive the system architecture spearhead best practices that enable a quality product and help coach and develop junior engineers A successful candidate will have an established background in engineering large scale software systems a strong technical ability great communication skills and a motivation to achieve results in a fast paced environment About You You are passionate about building platform and products for large scale deep learning model training 100 billion parameter GPT 1000s of GPU devices You have a proven track record of bringing innovative research to customers You are able to thrive and succeed in an entrepreneurial environment and not be hindered by ambiguity or competing priorities Ownership delivering results thinking big and analytical leadership are essential to success in this role You have solid experience in multi-threaded asynchronous C or Go development You have prior experience in one of resource orchestrators like slurm kubernetes high performance computing building scalable systems experience in large language model training This is a great team to come to have a huge impact on AWS and the world s customers we serve A day in the life A day in the life Every day will bring new and exciting challenges on the job while you Build and improve next-generation AI platform Collaborate with internal engineering teams leading technology companies around the world and open source community - PyTorch NVIDIA GPU Create innovative products to run at scale on the AI platform and see them launched in high volume production About the team Diverse Experiences AWS values diverse experiences Even if you do not meet all of the preferred 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 Why 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 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 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 BASIC QUALIFICATIONS- 3 years of non-internship professional software development experience - 2 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 languagePREFERRED 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