Software Development Engineer II, Amazon SageMaker
Software Development Engineer II, Amazon SageMaker
Posted on :
23-05-2025
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1 Vacancy
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Job Description
Do you want be part of a team shaping the future of artificial intelligence and machine learning at AWS Are you passionate about building highly scalable reliable and efficient solutions that empower developers data scientists and enterprises to innovate
Our team owns DeepLearning AMI and Deep Learning containers AWS products. We build base frameworks layer to integrate open source frameworks and related machine learning libraries to work on EC2 SageMaker Graviton and Neuron. Our goal is to make AWS the best place to run Deep Learning.
Key job responsibilities
Deliver HighImpact Solutions: Collaborate with internal teams (e.g. Amazon SageMaker EKS EC2) to deliver seamless integrations that improve the customer experience and optimize performance for ML workloads.
Engage with Customers: Partner with customers to understand their needs gather feedback and ensure DLCs meet and exceed expectations for usability performance and reliability.
Build and Lead Teams: Mentor and coach a diverse team of talented engineers. Foster a culture of technical excellence collaboration and innovation.
About the team
In this role you will work on building Deep Learning images based on PyTorch JAX TensorFlow to AWS customers and internal SageMaker teams. You will work with partners like Nvidia EC2 Graviton teams to build images and run performance benchmarks using LLM models. The role provides opportunity to influence across teams like HyperPod SM Training and Notebooks. You will also work on contributing to AWS open source packages like DLAMI and DLC.
3 years of noninternship professional software development experience
2 years of noninternship 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Our team owns DeepLearning AMI and Deep Learning containers AWS products. We build base frameworks layer to integrate open source frameworks and related machine learning libraries to work on EC2 SageMaker Graviton and Neuron. Our goal is to make AWS the best place to run Deep Learning.
Key job responsibilities
Deliver HighImpact Solutions: Collaborate with internal teams (e.g. Amazon SageMaker EKS EC2) to deliver seamless integrations that improve the customer experience and optimize performance for ML workloads.
Engage with Customers: Partner with customers to understand their needs gather feedback and ensure DLCs meet and exceed expectations for usability performance and reliability.
Build and Lead Teams: Mentor and coach a diverse team of talented engineers. Foster a culture of technical excellence collaboration and innovation.
About the team
In this role you will work on building Deep Learning images based on PyTorch JAX TensorFlow to AWS customers and internal SageMaker teams. You will work with partners like Nvidia EC2 Graviton teams to build images and run performance benchmarks using LLM models. The role provides opportunity to influence across teams like HyperPod SM Training and Notebooks. You will also work on contributing to AWS open source packages like DLAMI and DLC.
3 years of noninternship professional software development experience
2 years of noninternship 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
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