Senior Software Development Engineer AI/ML, Inference Model Enablement
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+8 more
Job 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
Requirements
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
Benefits & conditions
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 .
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
MLOps And AI Driven Development
What Are Large Language Models?
What is Software Engineering in the Age of AI?
Highest Paying Tech Companies for Developers