SDE II, ML Infra Services, Annapurna Labs

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 AWS. Our org covers multiple disciplines including silicon engineering hardware design and verification software and operations. AWS Nitro ENA EFA Graviton and F1 EC2 Instances AWS Neuron Inferentia and Trainium ML Accelerators and in storage with scalable NVMe are some of the products we have delivered over the last few years.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This position is for a Software Engineer that will lead the development of machine learning tools to run optimize and analyze machine learning workloads. This candidate must have had experience leading machine learning tool projects preferably starting from architecture through several generations of delivery to customers. Deep knowledge of profiling and optimization resource management scheduling code generation are needed. The ideal candidate will have worked on new instruction set architectures which may include CPU NPU GPU and other forms of compute.

Key job responsibilities
This engineer will lead the design and implementation of this new toolset will work with developers system architects hardware engineers and users both within and external to Amazon to ensure compatibility of this new toolset with existing and next-generation AI accelerators.


A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture youll create metrics implement automation and other improvements and resolve the root cause of software defects. Youll also:

Build high-impact solutions to deliver to our large customer base.
Participate in design discussions code review and communicate with internal and external stakeholders.
Work cross-functionally to help drive business decisions with your technical input.
Work in a startup-like development environment where youre always working on the most important stuff.

About the team
About the team
* High-impact high-visibility: Youll directly accelerate every Neuron teams ability to ship your work multiplies the output of 100 engineers
* Greenfield opportunities: Were actively building new capabilities with significant design ownership for SDEs
* Small senior team: where every person owns major components and drives architectural decisions
* Cutting edge of AI infrastructure: Work at the intersection of Kubernetes custom silicon and large-scale ML workloads

Diverse Experiences
We value diverse experiences and non-traditional career paths. If your career is just starting or includes alternative experiences we encourage you to apply.

Inclusive Team Culture
Our employee-led affinity groups foster inclusion. Events like CORE and AmazeCon inspire us to embrace our uniqueness.

Work/Life Balance
We strive for flexibility as part of our working culture supporting you both at work and at home.

Mentorship & Career Growth
We offer knowledge-sharing mentorship and one-on-one code reviews to help you grow as a professional.

Hybrid Work
This role is onsite with flexibility to work remotely when youre unable to make it into the office.

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Experience with AWS Services including EC2 Lambda S3 DynamoDB SQS
- Experience in Kubernetes Docker or containers ecosystem or experience managing full application stacks from the OS up through custom applications and experience in any Bigdata architecture
- Experience with version control systems and CI/CD pipeline implementation
- Strong proficiency in Go/Java Python and Javascript/Typescript
- Application and kernel performance profiling and optimization
- Proficiency in integrated software/hardware performance analysis and optimization
- Experience designing and operating production services

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 143700.00 - 194400.00 USD annually