Sr. Software Development Engineer, Inference Team - AWS Neuron
Amazon
- Location
- Onsite (Seattle, Washington)
- Compensation
- $168k - $227k/yr
- Employment
- Full-time
- Level
- Senior Level
Posted 3 days ago
About the Role
Join the AWS Neuron team to lead the development and optimization of high-performance large language model inference solutions on AWS Inferentia and Trainium accelerators. You will customize open-source frameworks like vLLM and SGLang to deliver scalable, production-ready serving performance for customer workloads.
Skills
Software development
Machine learning
Inference optimization
AWS Neuron
vLLM
SGLang
Kernel development
Parallel computation
Distributed systems
PyTorch
JAX
LLM deployment
CUDA
Triton
System architecture
Technical leadership
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) matching
- Paid time off
- Parental leave
- Life insurance
Perks
- Restricted stock units
- Sign-on payments
Full job details
AWS Neuron is the complete software stack for AWS Inferentia and Trainium, AWS purpose-built accelerators for cloud-scale machine learning. This senior software engineering role is part of the Machine Learning Inference Applications team and focuses on delivering high-performance model inference solutions for customer workloads running on Inferentia- and Trainium-powered instances.
The engineer will lead the development of core serving technologies within open-source frameworks (such as vLLM and SGLang) to enable customers to serve large-scale inference efficiently on AWS Neuron. The engineer will also drive excellence in inference framework optimization and engineering best practices.
The engineer will work closely with model development engineers, performance engineers, compiler engineers, and runtime engineers to ensure end-to-end model performance and deliver production-ready accuracy, scalability, and efficiency across a broad range of models and customer use cases.
Key job responsibilities
The engineer will lead the customization and optimization of open-source inference frameworks (vLLM, SGLang) on AWS Neuron—including core framework logic such as scheduling and model execution—applying state-of-the-art techniques in kernel development, parallel computation, distributed KV cache, speculative decoding, and systems engineering to deliver best-in-class LLM serving performance.
The engineer will also influence the team's technical roadmap by evaluating emerging inference research and translating it into production-ready features, and raise the bar through design leadership and mentorship. This role requires close collaboration across model development, compiler, runtime, and performance engineering teams.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications: - 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language 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
- Experience as a mentor, tech lead or leading an engineering team
- Fundamentals of Machine learning models, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model performance. Preferred Qualifications: - Bachelor's degree in computer science or equivalent
- Hands-on experience with PyTorch or JAX, preferably involving developing and deploying LLMs in production on GPUs, AWS Neuron, TPUs, or other AI accelerator hardware
- Experience extending or contributing to inference frameworks such as vLLM or SGLang
- Kernel development experience (e.g., CUDA, Triton)
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.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
The engineer will lead the development of core serving technologies within open-source frameworks (such as vLLM and SGLang) to enable customers to serve large-scale inference efficiently on AWS Neuron. The engineer will also drive excellence in inference framework optimization and engineering best practices.
The engineer will work closely with model development engineers, performance engineers, compiler engineers, and runtime engineers to ensure end-to-end model performance and deliver production-ready accuracy, scalability, and efficiency across a broad range of models and customer use cases.
Key job responsibilities
The engineer will lead the customization and optimization of open-source inference frameworks (vLLM, SGLang) on AWS Neuron—including core framework logic such as scheduling and model execution—applying state-of-the-art techniques in kernel development, parallel computation, distributed KV cache, speculative decoding, and systems engineering to deliver best-in-class LLM serving performance.
The engineer will also influence the team's technical roadmap by evaluating emerging inference research and translating it into production-ready features, and raise the bar through design leadership and mentorship. This role requires close collaboration across model development, compiler, runtime, and performance engineering teams.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications: - 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language 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
- Experience as a mentor, tech lead or leading an engineering team
- Fundamentals of Machine learning models, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model performance. Preferred Qualifications: - Bachelor's degree in computer science or equivalent
- Hands-on experience with PyTorch or JAX, preferably involving developing and deploying LLMs in production on GPUs, AWS Neuron, TPUs, or other AI accelerator hardware
- Experience extending or contributing to inference frameworks such as vLLM or SGLang
- Kernel development experience (e.g., CUDA, Triton)
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, WA, Seattle - 168,100.00 - 227,400.00 USD annually