Amazon
Software Engineer - AI/ML, AWS Neuron Distributed Training
Amazon, Seattle, Washington, us, 98127
AWS Neuron is the complete software stack for the AWS Inferentia (Inf1/Inf2) and Trainium (Trn1), our cloud-scale Machine Learning accelerators. This role is for a machine learning engineer in the Distributed 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 side by side 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, and other distributed training libraries are central to this and extending all of this for the Neuron-based system is key.
Key Job Responsibilities
You will help lead the efforts building distributed training support into Pytorch and Tensorflow using XLA and the Neuron compiler and runtime stacks. You will help tune these models to ensure the highest performance and maximize the efficiency of them running on the custom AWS Trainium and Inferentia silicon and the Trn1, Inf1/2 servers. Strong software development and Machine Learning knowledge are both critical to this role.
Minimum Requirements
Bachelor's degree in computer science or equivalent3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patterns, reliability, and scaling) of new and existing systems experienceExperience programming with at least one software programming languageExperience in machine learning, data mining, information retrieval, statistics, or natural language processing
Preferred Qualifications
Master's degree in computer science or equivalent3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceExperience in computer architecturePrevious software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model TrainingPrevious experience with training multi-modal models for understanding and generating images/videos/audios
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please 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.
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The ML Distributed Training team works side by side 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, and other distributed training libraries are central to this and extending all of this for the Neuron-based system is key.
Key Job Responsibilities
You will help lead the efforts building distributed training support into Pytorch and Tensorflow using XLA and the Neuron compiler and runtime stacks. You will help tune these models to ensure the highest performance and maximize the efficiency of them running on the custom AWS Trainium and Inferentia silicon and the Trn1, Inf1/2 servers. Strong software development and Machine Learning knowledge are both critical to this role.
Minimum Requirements
Bachelor's degree in computer science or equivalent3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patterns, reliability, and scaling) of new and existing systems experienceExperience programming with at least one software programming languageExperience in machine learning, data mining, information retrieval, statistics, or natural language processing
Preferred Qualifications
Master's degree in computer science or equivalent3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceExperience in computer architecturePrevious software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model TrainingPrevious experience with training multi-modal models for understanding and generating images/videos/audios
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please 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.
#J-18808-Ljbffr