Software Development Engineer II, AWS SageMaker HyperPod
Software Development Engineer II, AWS SageMaker HyperPod
Posted on :
22-06-2025
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1 Vacancy
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Job Description
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.
At AWS AI we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our customers rapidly adopt LLMs and Generative AI for their business were building the next-generation AI platform to accelerate their development. Were seeking a dedicated software engineer to drive building our next-generation AI compute platform thats optimized for LLMs and distributed AWS AI we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our customers rapidly adopt LLMs and Generative AI for their business were building the next-generation AI platform to accelerate their development. Were seeking a dedicated software engineer to drive building our next-generation AI compute platform thats optimized for LLMs and distributed training.
Key job responsibilities
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 teams roadmap. Youll 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 or Go development. You have prior experience in one of: resource orchestrators like slurm/kubernetes high performance computing building scalable systems experience in large language model training.
This is a great team to come to have a huge impact on AWS and the worlds customers we serve!
A day in the life
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
* 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
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
- 3 years of non-internship professional software development experience
- 2 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 full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
At AWS AI we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our customers rapidly adopt LLMs and Generative AI for their business were building the next-generation AI platform to accelerate their development. Were seeking a dedicated software engineer to drive building our next-generation AI compute platform thats optimized for LLMs and distributed AWS AI we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our customers rapidly adopt LLMs and Generative AI for their business were building the next-generation AI platform to accelerate their development. Were seeking a dedicated software engineer to drive building our next-generation AI compute platform thats optimized for LLMs and distributed training.
Key job responsibilities
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 teams roadmap. Youll 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 or Go development. You have prior experience in one of: resource orchestrators like slurm/kubernetes high performance computing building scalable systems experience in large language model training.
This is a great team to come to have a huge impact on AWS and the worlds customers we serve!
A day in the life
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
* 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
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
- 3 years of non-internship professional software development experience
- 2 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 full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
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