Amazon
Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference
Amazon, Seattle, Washington, us, 98127
Overview
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. Responsibilities
Lead efforts building distributed inference support into PyTorch and TensorFlow using XLA and the Neuron compiler and runtime stacks. Tune models to ensure the highest performance and efficiency on the customer AWS Trainium and Inferentia silicon and the Trn1/Inf1 servers. Collaborate with compiler, runtime, and ML teams to build, tune, and extend distributed inference libraries (e.g., Deepspeed) for the Neuron-based system. Design, code, review, and communicate with internal and external stakeholders; build high-impact solutions for a large customer base. Work cross-functionally to drive technical decisions and optimize software architecture; participate in a startup-like development environment. Basic Qualifications
3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture experience (design patterns, reliability and scaling) of new and existing systems Experience programming in at least one software programming language Preferred Qualifications
3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. About The Team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and were 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. Company
Company - Annapurna Labs (U.S.) Inc. Job ID: A2924478 #J-18808-Ljbffr
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. Responsibilities
Lead efforts building distributed inference support into PyTorch and TensorFlow using XLA and the Neuron compiler and runtime stacks. Tune models to ensure the highest performance and efficiency on the customer AWS Trainium and Inferentia silicon and the Trn1/Inf1 servers. Collaborate with compiler, runtime, and ML teams to build, tune, and extend distributed inference libraries (e.g., Deepspeed) for the Neuron-based system. Design, code, review, and communicate with internal and external stakeholders; build high-impact solutions for a large customer base. Work cross-functionally to drive technical decisions and optimize software architecture; participate in a startup-like development environment. Basic Qualifications
3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture experience (design patterns, reliability and scaling) of new and existing systems Experience programming in at least one software programming language Preferred Qualifications
3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. About The Team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and were 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. Company
Company - Annapurna Labs (U.S.) Inc. Job ID: A2924478 #J-18808-Ljbffr