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Join a dynamic team within a forward-thinking company focused on enhancing the AWS customer experience through innovative hardware and software solutions. This role seeks an experienced engineer with a strong background in HPC interconnects and a passion for machine learning. You will play a crucial role in developing networking solutions that improve performance for high-performance computing workloads. The inclusive culture fosters mentorship and career growth, ensuring you can thrive both personally and professionally. If you're ready to make a significant impact in a collaborative environment, this opportunity is perfect for you.
Annapurna Labs is an integral part of AWS and develops HW and SW components that are critical building blocks for EC2 infrastructure. We specialize in designing semi-conductors, systems, chips, and software that optimize the AWS customer experience.
More and more customers run their HPC and ML workloads on AWS to reap the benefits of elasticity and flexibility of the cloud. We work on building networking solutions (Elastic Fabric Adapter) to improve network speed and performance so that customers can scale their network intensive HPC and ML workloads over thousands of CPUs and GPUs and get blazing fast performance.
We are seeking an experienced engineer with HPC interconnects background preferably in ML domain, with good understanding of collective operations and networking (RDMA networking preferred). The ideal candidate will also have a deep understanding of computer architecture and operating systems (Linux especially), while being comfortable in server and embedded environments and programming sophisticated embedded devices for AWS.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
- 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
- Bachelor's degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.