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# Senior Software Development Engineer AI/ML, Inference Model Enablement

- **Company:** Annapurna Labs
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, C Sharp (Programming Language), C++ (Programming Language), Code Review, Computer Programming, Software Debugging, Software Design Patterns, Machine Learning, Object-Oriented Software Development, Open Source Technology, Performance Tuning, Software Engineering, Large Language Models, Reliability of Systems, Information Technology, Build Process, Software Coding, Software Version Control
- **Published:** September 11, 2026
- **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-F267EF282ADE4F42CF/

## About the Role

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

## Description

Applicants must be eligible to work in the specified location
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


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