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Added 3 hours ago
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference
Amazon
Cupertino, CA
As a Software Engineer II - AI/ML, you will design and implement business-critical features and own the performance of models on AWS Trainium end to end. We operate in spaces that are very…
Added 20 hours ago
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference
Annapurna Labs (U.S.) Inc.
Cupertino, CA
As a Software Engineer II - AI/ML, you will design and implement business-critical features and own the performance of models on AWS Trainium end to end. We operate in spaces that are very…
Added 2 days ago
Sr. Software Development Engineer, ML Infrastructure Team
Amazon
Cupertino, CA
We seek a Senior Software Development Engineer for the Machine Learning (ML) Infrastructure team to own and evolve the platforms used to guarantee top performance of AWS ML and High…
Added 3 days ago
Lead Engineer for Manufacturing and Datacenter Lab, Trainium Manufacturing, Quality and Reliability
Amazon
Austin, TX
This role will report to the leader of Trainium Manufacturing Quality & Reliability and serve as the essential feedback loop between our ODM/JDM/CM manufacturing operations and AWS…
Added 3 days ago
Senior Forward Deployed Engineer (Model Customization and Optimization)
Amazon Web Services, Inc.
Boston, MA · Arlington, VA · Seattle, WA · New York, NY · East Palo Alto, CA
Lead optimization on AWS AI chips: Lead migrations of training and inference workloads to AWS Trainium using the AWS Neuron SDK. Diagnose performance and accuracy-parity gaps against GPU…
Added 4 days ago
M
AI Infrastructure Engineer
Mercor
San Francisco, CA
- $200,000 to $400,000 USD / year
…impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that…
Added 4 days ago
SDE II, ML Infra Services, Annapurna Labs
Amazon.com Services LLC
Seattle, WA
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…
Added 4 days ago
Sr. Systems Development Engineer, Trainium Systems
Annapurna Labs (U.S.) Inc.
Austin, TX · Seattle, WA · San Diego, CA · Cupertino, CA
Annapurna Labs is the part of Amazon that designs the custom silicon behind the cloud, including Trainium for AI training, Graviton CPUs, and the AWS Nitro system. Nearly every server in…
Added 4 days ago
Sr. Software Development Engineer, ML Infrastructure Team
Annapurna Labs (U.S.) Inc.
Cupertino, CA
We seek a Senior Software Development Engineer for the Machine Learning (ML) Infrastructure team to own and evolve the platforms used to guarantee top performance of AWS ML and High…
Added 6 days ago
Software Development Engineer, Neuron Collectives, Annapurna Labs
Amazon
Cupertino, CA
The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the…
Added 8 days ago
Software Development Engineer, Neuron Collectives, Annapurna Labs
Annapurna Labs (U.S.) Inc.
Cupertino, CA
The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the…
Added 8 days ago
Infrastructure Engineer – Managed Inference
Morgan Pinnacle Group
San Francisco · San Francisco, CA
We are seeking a Staff-level or higher Infrastructure Engineer with deep, hands-on experience operating production LLM inference infrastructure. This role focuses on scaling highly…
Added 9 days ago
Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability
Amazon
Florence, KY
Annapurna Labs is building the next generation cloud server infrastructure. Our success depends on delivering world-class server infrastructure; we're handling massive scale and rapid…
Added 9 days ago
Software Development Engineer, Neuron Collectives, Annapurna Labs
Amazon
Cupertino, CA
The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the…
Added 9 days ago
Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
Amazon
Seattle, WA
AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) our cloud-scale Machine Learning accelerators. This role is for a Senior Machine…
Added 9 days ago
Senior Forward Deployed Engineer (Model Customization and Optimization)
Amazon Web Services, Inc.
Boston, MA · Seattle, WA · Arlington, VA · New York, NY · East Palo Alto, CA
Lead optimization on AWS AI chips: Lead migrations of training and inference workloads to AWS Trainium using the AWS Neuron SDK. Diagnose performance and accuracy-parity gaps against GPU…
Added 13 days ago
Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs
Amazon
Cupertino, CA
Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure.…
Added 13 days ago
Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training
Amazon
Cupertino, CA
…and deliver solutions that help customers change the world. AWS Neuron is the complete software stack powering AWS Trainium (Trn2/Trn3), our cloud scale Machine Learning accelerators and we…
Added 13 days ago
Neuron Collectives Software Engineer, Trainium Collectives
Amazon
Cupertino, CA
Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for…
Added 13 days ago
Senior AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS
Amazon
Cupertino, CA
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and…
Added 13 days ago
AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS
Amazon
Cupertino, CA
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and…
Added 13 days ago
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Amazon
Cupertino, CA
Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting-edge infrastructure. In order to…
Added 13 days ago
Sr Software Development Engineer, Neuron Collectives, Annapurna Labs
Amazon
Cupertino, CA
The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the…
Added 13 days ago
Sr. Software Development Engineer AI/ML, Inference Model Enablement, AWS Neuron
Amazon
Cupertino, CA
As a Sr. Software Development Engineer on the Inference Model Enablement team, you will onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for…
Added 13 days ago
Software Development Engineer, AI/ML, AWS Neuron, Model Inference
Amazon
Cupertino, CA
The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning…

Amazon

Sr. Software Development Engineer AI/ML, Inference Model Enablement, AWS Neuron

Cupertino, CA, United States

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Job details

Posting language: English
Posted: Jul 30, 2026

Original job description

Description

We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Join us to optimize the latest models to run really fast on the Trainium hardware.

As a Sr. Software Development Engineer on the Inference Model Enablement team, you will onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation.

Key job responsibilities

Deliver high-performance models using distributed inference libraries
Drive technical excellence in performance optimization and system reliability across the Neuron ecosystem
Mentor team members and provide technical leadership across multiple work streams
Drive architectural decisions that impact the entire Neuron serving stack
Collaborate with customers, product owners, and engineering teams to define technical strategy
Author technical documentation, design proposals, and architectural guidelines

A day in the life

You'll lead critical technical initiatives while mentoring team members. You'll collaborate with cross-functional teams of applied scientists, system engineers, and product managers to architect and deliver state-of-the-art inference capabilities. Your day might involve:

Leading design reviews and architectural discussions
Debugging complex performance issues across the stack in collaboration with the compiler and runtime teams
Mentoring junior engineers on system design and model optimization across model enablement teams
Driving technical decisions that shape the future of Neuron's inference stack

About the team

The inference model enablement team releases its models in the vLLM Neuron plugin: https://github.com/vllm-project/vllm-neuron

Basic Qualifications

5+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
5+ years of non-internship professional software development experience
Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

Master's degree in computer science or equivalent
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

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More about this job

Skills

Software development
ML
AWS
Leadership
Documentation
Coaching
Debugging
Oracle Java
C++
C#
Computer science
Machine learning
Customer service
Recruitment
Mental health

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