Software Engineer II - AI/ML, AWS Neuron
Job Description
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators. 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 state of art GEN-AI models and massive scale large language models like llama-4, Deepseeq and beyond, as well as stable diffusion, Vision Transformers and many more. The ML Apps team works side by side with chip architects, compiler engineers and runtime engineers to create , build and optimize performance and accuracy of state-of-art models. The team automates the ML techniques to evaluate, detect, debug and resolve accuracy issues raising from migration of model to AI accelerators. The team develops AI tool chain for optimizing performance and accuracy of state-of-art models. Key job responsibilitiesThis role will help lead efforts in building distributed inference support into PyTorch using XLA and the Neuron compiler and runtime stacks. Strong software development skills in C++/Python and ML knowledge are both critical to this role. The position will identify optimization opportunities by performing comparative analysis and benchmarking with alternative solutions. The role will develop and automate solutions to ensure the accuracy of AI accelerators while optimizing their performance. This position will develop a set of deep AI toolchains to simplify and abstract the low-level AI accelerator modules.A day in the lifeWork/Life BalanceOur 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. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.About the teamAbout the teamOur 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. 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.
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 280,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experienceintermediate
- - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experienceintermediate
- - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceintermediate
- - Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.intermediate
Required Qualifications
- - 3+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience (experience, 3 years)
- - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience (experience, 3 years)
- - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience (experience, 3 years)
- - Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. (experience)
Preferred Qualifications
- - Bachelor's degree in computer science or equivalent (degree in computer science or equivalent)
- 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. (experience)
Responsibilities
- This role will help lead efforts in building distributed inference support into PyTorch using XLA and the Neuron compiler and runtime stacks. Strong software development skills in C++/Python and ML knowledge are both critical to this role. The position will identify optimization opportunities by performing comparative analysis and benchmarking with alternative solutions. The role will develop and automate solutions to ensure the accuracy of AI accelerators while optimizing their performance. This position will develop a set of deep AI toolchains to simplify and abstract the low-level AI accelerator modules.
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Software Engineer II - AI/ML, AWS Neuron
Job Description
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators. 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 state of art GEN-AI models and massive scale large language models like llama-4, Deepseeq and beyond, as well as stable diffusion, Vision Transformers and many more. The ML Apps team works side by side with chip architects, compiler engineers and runtime engineers to create , build and optimize performance and accuracy of state-of-art models. The team automates the ML techniques to evaluate, detect, debug and resolve accuracy issues raising from migration of model to AI accelerators. The team develops AI tool chain for optimizing performance and accuracy of state-of-art models. Key job responsibilitiesThis role will help lead efforts in building distributed inference support into PyTorch using XLA and the Neuron compiler and runtime stacks. Strong software development skills in C++/Python and ML knowledge are both critical to this role. The position will identify optimization opportunities by performing comparative analysis and benchmarking with alternative solutions. The role will develop and automate solutions to ensure the accuracy of AI accelerators while optimizing their performance. This position will develop a set of deep AI toolchains to simplify and abstract the low-level AI accelerator modules.A day in the lifeWork/Life BalanceOur 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. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.About the teamAbout the teamOur 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. 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.
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 280,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experienceintermediate
- - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experienceintermediate
- - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceintermediate
- - Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.intermediate
Required Qualifications
- - 3+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience (experience, 3 years)
- - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience (experience, 3 years)
- - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience (experience, 3 years)
- - Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. (experience)
Preferred Qualifications
- - Bachelor's degree in computer science or equivalent (degree in computer science or equivalent)
- 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. (experience)
Responsibilities
- This role will help lead efforts in building distributed inference support into PyTorch using XLA and the Neuron compiler and runtime stacks. Strong software development skills in C++/Python and ML knowledge are both critical to this role. The position will identify optimization opportunities by performing comparative analysis and benchmarking with alternative solutions. The role will develop and automate solutions to ensure the accuracy of AI accelerators while optimizing their performance. This position will develop a set of deep AI toolchains to simplify and abstract the low-level AI accelerator modules.