PhD ML Infrastructure Engineer - Distributed Training AWS Neuron Annapurna Labs
PhD ML Infrastructure Engineer - Distributed Training AWS Neuron Annapurna Labs
Posted on :
19-04-2025
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1 Vacancy
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Yearly Salary
$ 129300 - 223600
Vacancy
1 Vacancy
Posted on :
19-04-2025
Job Description
By applying to this position your application will be considered for all locations we hire for in the United States.
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips accelerators and software stacks enable us to take on technical challenges that have never been seen before and deliver results that help our customers change the world.
AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2 and Inferentia (Inf1/Inf2 our cloudscale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron responsible for development enablement and performance tuning of a wide variety of ML model families including massivescale 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 (FullySharded Data Parallel) Deepspeed Nemo and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.
Key job responsibilities
Youll help develop and improve distributed training capabilities in popular machine learning frameworks (PyTorch and JAX) using AWSs specialized AI hardware. Working with our compiler and runtime teams youll learn how to optimize ML models to run efficiently on AWSs custom AI chips (Trainium and Inferentia). This is a great opportunity to bridge the gap between ML frameworks and hardware acceleration while building strong foundations in distributed systems.
Were looking for someone with solid programming skills enthusiasm for learning complex systems and basic understanding of machine learning concepts. This role offers excellent growth opportunities in the rapidly evolving field of ML infrastructure.
About the team
Annapurna Labs was a startup company acquired by AWS in 2015 and is now fully integrated. If AWS is an infrastructure company then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering hardware design and verification software and operations. AWS Nitro ENA EFA Graviton and F1 EC2 Instances AWS Neuron Inferentia and Trainium ML Accelerators and in storage with scalable NVMe are some of the products we have delivered over the last few years.
To qualify applicants should have earned (or will earn) a PhD between December 2023 and September 2025.
Working knowledge of C and Python
Experience with ML frameworks particularly PyTorch and/or JAX
Understanding of parallel computing concepts and CUDA programming
Open source contributions or research publications to ML frameworks or tools compilers or distributed computing
Experience optimizing ML workloads for performance
Direct experience with PyTorch internals or CUDA optimization
Handson experience with LLM infrastructure tools (e.g. vLLM TensorRT)
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips accelerators and software stacks enable us to take on technical challenges that have never been seen before and deliver results that help our customers change the world.
AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2 and Inferentia (Inf1/Inf2 our cloudscale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron responsible for development enablement and performance tuning of a wide variety of ML model families including massivescale 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 (FullySharded Data Parallel) Deepspeed Nemo and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.
Key job responsibilities
Youll help develop and improve distributed training capabilities in popular machine learning frameworks (PyTorch and JAX) using AWSs specialized AI hardware. Working with our compiler and runtime teams youll learn how to optimize ML models to run efficiently on AWSs custom AI chips (Trainium and Inferentia). This is a great opportunity to bridge the gap between ML frameworks and hardware acceleration while building strong foundations in distributed systems.
Were looking for someone with solid programming skills enthusiasm for learning complex systems and basic understanding of machine learning concepts. This role offers excellent growth opportunities in the rapidly evolving field of ML infrastructure.
About the team
Annapurna Labs was a startup company acquired by AWS in 2015 and is now fully integrated. If AWS is an infrastructure company then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering hardware design and verification software and operations. AWS Nitro ENA EFA Graviton and F1 EC2 Instances AWS Neuron Inferentia and Trainium ML Accelerators and in storage with scalable NVMe are some of the products we have delivered over the last few years.
To qualify applicants should have earned (or will earn) a PhD between December 2023 and September 2025.
Working knowledge of C and Python
Experience with ML frameworks particularly PyTorch and/or JAX
Understanding of parallel computing concepts and CUDA programming
Open source contributions or research publications to ML frameworks or tools compilers or distributed computing
Experience optimizing ML workloads for performance
Direct experience with PyTorch internals or CUDA optimization
Handson experience with LLM infrastructure tools (e.g. vLLM TensorRT)
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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
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