Amazon
Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
Amazon, Seattle, Washington, us, 98127
Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?
The Annapurna Labs team at Amazon Web Services (AWS) is looking for a Software Development Engineer II to build, deliver, and maintain complex products that delight our customers and raise our performance bar. You’ll design fault-tolerant systems that run at massive scale as we continue to innovate best-in-class services and applications in the AWS Cloud.
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 senior software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement, and performance tuning of a wide variety of ML model families, including massive scale large language models like GPT2, GPT3, and beyond, as well as stable diffusion, Vision Transformers, 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 Trn1. Experience training these large models using Python is a must. FSDP, 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:This role will help lead the efforts building distributed training support into Pytorch, Tensorflow using XLA and the Neuron compiler and runtime stacks.This role will help tune these models to ensure the highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1, Inf1 servers.Strong software development and ML knowledge are both critical to this role.About the team:Inclusive Team Culture:
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life Balance:
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life.Mentorship & Career Growth:
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.BASIC QUALIFICATIONS
-
5+ years of non-internship professional software development experience-
3+ 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 language-
3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience-
3+ years of Deep Learning industry experiencePREFERRED QUALIFICATIONS
-
5+ 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
#J-18808-Ljbffr
Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate?
The Annapurna Labs team at Amazon Web Services (AWS) is looking for a Software Development Engineer II to build, deliver, and maintain complex products that delight our customers and raise our performance bar. You’ll design fault-tolerant systems that run at massive scale as we continue to innovate best-in-class services and applications in the AWS Cloud.
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 senior software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement, and performance tuning of a wide variety of ML model families, including massive scale large language models like GPT2, GPT3, and beyond, as well as stable diffusion, Vision Transformers, 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 Trn1. Experience training these large models using Python is a must. FSDP, 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:This role will help lead the efforts building distributed training support into Pytorch, Tensorflow using XLA and the Neuron compiler and runtime stacks.This role will help tune these models to ensure the highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1, Inf1 servers.Strong software development and ML knowledge are both critical to this role.About the team:Inclusive Team Culture:
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life Balance:
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life.Mentorship & Career Growth:
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.BASIC QUALIFICATIONS
-
5+ years of non-internship professional software development experience-
3+ 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 language-
3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience-
3+ years of Deep Learning industry experiencePREFERRED QUALIFICATIONS
-
5+ 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
#J-18808-Ljbffr