Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that have never been imagined before. Our custom chips, accelerators, and software stacks enable us to take on technical challenges and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) ML accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Python is a must. FSDP (Fully-Sharded Data Parallel), Deepspeed, Nemo and other distributed training libraries are central to this effort and extending all of this for the Neuron-based system is key. Key job responsibilities You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and Inferentia, as well as Trn2, Trn1, Inf1, and Inf2 servers. Demonstrate strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and maintain a solid foundation in Machine Learning. About the team Annapurna Labs was a startup company acquired by AWS in 2015 and is now fully integrated. If AWS is an infrastructure company, then Annapurna Labs is the infrastructure provider of AWS. Our org covers 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 scalable NVMe storage are among the products we have delivered in recent years. 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 provide one-on-one mentoring and thorough, but kind, code reviews. We care about career growth and strive to assign projects that help team members develop engineering expertise for more complex tasks in the future. Diverse Experiences: AWS values diverse experiences. Even if you do not meet all qualifications listed, 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 AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneer cloud computing and continue to innovate, trusted by startups to Global 500 companies. Inclusive Team Culture: AWS fosters a culture of inclusion with affinity groups and ongoing events and learning experiences that celebrate differences. Work/Life Balance: We value work-life harmony and strive for flexibility to support personal well-being. Mentorship & Career Growth: We offer knowledge-sharing and mentorship to help you develop as a professional. BASIC QUALIFICATIONS Bachelor's degree in computer science or equivalent 5 years of non-internship professional software development experience 5 years of programming with at least one software programming language 5 years of leading design or architecture of new and existing systems 5 years of full software development life cycle experience Experience as a mentor, tech lead or leading an engineering team Experience in machine learning, data mining, information retrieval, statistics or natural language processing PREFERRED QUALIFICATIONS Master's degree in computer science or equivalent Experience in computer architecture Previous software engineering experience with PyTorch/JAX/TensorFlow, distributed libraries and frameworks, end-to-end model training Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include safe and cooperative work with colleagues; adhere to standards of excellence under stress; communicate effectively and respectfully; and follow all laws and company policies. Criminal history may affect eligibility for duties and responsibilities. We will consider qualified applicants with arrest and conviction records per the Los Angeles County Fair Chance Ordinance. If you need a workplace accommodation or adjustment during the application and hiring process, please visit 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay range for this position is $151,300/year to $261,500/year, depending on market, knowledge, skills, and experience. Amazon is a total compensation company; equity, sign-on payments, and other compensation may be provided as part of a total package. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Important FAQs for current Government employees: Before proceeding, please review the FAQs at https://www.amazon.jobs/en/faqsfaqs-for-us-government-employees. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. J-18808-Ljbffr