1,861,925open jobs
110,065companies
260,476added this week
Browse all
Salary
$193k – $262k per year
Location
In office (Cupertino)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 16,768 · for this role: 10,545 · green card filings: 56
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Jul 29, 2026. Amazon scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Amazon is an American technology and retail conglomerate founded by Jeff Bezos in 1994 as an online bookstore and headquartered in Seattle, Washington. It operates the world's largest online marketplace together with a global logistics network, physical grocery stores and a third-party seller platform that accounts for most units sold. Amazon Web Services, launched in 2006, is the leading public cloud provider and generates the majority of the group's operating profit, while advertising, Prime Video, Alexa devices and Kuiper satellite broadband round out the business.

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

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,861,925 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Cupertino
$110k – $115k per year • In office • 3+ years exp • Master's Degree • United States
Python
SQL
Databases
Snowflake
AI/ML
MLFlow
dbt
Amazon SageMaker
Feature Store
Knowledge Graph
DevOps
Terraform
GitHub Actions
Datadog
CI/CD
AWS
Apply
$211k – $249k per year • Remote (United States) • Full-Time • 5+ years exp • PhD
Python
SQL
AI/ML
Spark
DevOps
Terraform
CI/CD
Kubernetes
Apply
$140k – $176k per year • Equity • Hybrid • 5+ years exp • Bachelor's Degree • Boston
Python
JavaScript
Python
FastAPI
AI/ML
LangGraph
LangChain
Claude Code
Model Context Protocol
AI Agents
Langfuse
LLM
Anthropic
LLM Guardrails
DevOps
Terraform
AWS
Cybersecurity
Keycloak
Apply
≈ $142k – $271k per year (Estimated) • In office • Full-Time • 5+ years exp • Los Altos
Python
C++
AI/ML
vLLM
Multimodal AI
SGLang
TensorRT
TensorRT-LLM
LLM
Speculative Decoding
KV Cache
Apply
$240k – $254k per year • Equity • Remote (United States) • 8+ years exp • Master's Degree • San Francisco
Python
Java
C++
Apply
≈ $224k – $495k per year (Estimated) • In office • Cupertino
Python
Java
C++
Apply
≈ $274k – $549k per year (Estimated) • In office • 7+ years exp • Master's Degree • Cupertino
Python
AI/ML
Reinforcement Learning
JAX
Multimodal AI
Function Calling
AI Agents
VLM
TensorFlow
PyTorch
LLM
SFT
Post-training
Edge AI
Tool Use
Machine Learning
Apply
$172k – $222k per year • Equity • In office • Full-Time • 4+ years exp • Master's Degree • Cupertino
Python
Java
C++
C++
PyTorch C++
Databases
Databricks
AI/ML
JAX
AWS Bedrock
PyTorch
LLM
Anthropic
Post-training
Pre-training
AWS Trainium
Machine Learning
DevOps
AWS
Apply
$192k – $260k per year • Equity • In office • Full-Time • 6+ years exp • Master's Degree • Cupertino
Python
Java
C++
C++
TensorFlow C++
PyTorch C++
AI/ML
Hadoop
Spark
Scikit-learn
JAX
SciPy
TensorFlow
NumPy
PyTorch
LLM
Post-training
Pre-training
AWS Trainium
Machine Learning
DevOps
AWS
Apply
≈ $216k – $419k per year (Estimated) • In office • 3+ years exp • Master's Degree • Cupertino
Python
AI/ML
Machine Learning
Apply
See all jobs
This is one of many
1,861,925 more open roles from verified company boards, updated every day.