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++/Go development. You have prior experience in resource orchestrators with kubernetes, high performance computing, building scalable systems, experience in large language model training. Key job responsibilities As a Software Development Engineer in the SageMaker team, you will be responsible for: - Developing innovative solutions for supporting Large Language Model training in a cluster of nodes; - Develop and maintain a performant, resilient and fully-managed service built to train large-scale foundation models. - Optimizing distributed training by profiling, identifying bottlenecks and addressing them by improving compute and network performance, as well as finding opportunities for better compute/communication overlap; - You will serve as a key technical resource in the full development cycle, from conception to delivery and maintenance. - You will own delivery of entire piece of the system and serve as technical lead on complex projects using best practice engineering standards - Hire/mentor junior development engineers 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 using Kubernetes as orchestration layer. * 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 BASIC QUALIFICATIONS - 1+ years of non-internship professional software development experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Santa Clara - 165,200.00 - 223,600.00 USD annually