Senior Software Development Engineer Annapurna Labs Trainium Collectives Elastic Collectives

We are seeking an experienced engineer to work on distributed AI/ML systems. This role involves working on collective operations the fundamental operations that enable AI to scale across multiple accelerators & servers. Most of our stack is C/C and relatively low level so solid knowledge of Linux kernels and performant code is important. Experience with embedded systems is valued and experience with highspeed networking or HPC interconnects is valued highly.

If you like solving hard problems want to work with HPC and ML customers iterate fast and deliver meaningful solutions at scale then come join us! This truly is a role on the forefront of AI/ML youll be working on features for the largest clusters with the largest customers for the largest AI models.

The org you would be joining is Annapurna Labs an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed in Annapurna Labs. We specialize in designing software systems and chips that optimize the AWS customer experience.


A day in the life
Annapurna Labs a crucial part of AWS is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and HighPerformance Computing (HPC) workloads on AWS.

We have mixed discipline orgs youd be working side by side with infrastructure experts hardware engineers RTL engineers scientists & architects. Our workforce spans the globe and is truly international youll find yourself working side by side with individuals from numerous countries. We take mentorship seriously you can both expect senior mentorship and will be expected to mentor new and junior engineers.

The pace is fast as we work on the latest advancements of AI/ML but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours and respect WLB as a core org tenet. The team enjoys working with numerous principallevel engineers and closely with directors career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning the AI/ML field is fast moving and constantly evolving.

About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone 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.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

5 years of noninternship 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

Masters degree in computer science or equivalent

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.