Job Description
DESCRIPTION
We are seeking an experienced software engineer with low-level latency networking or interconnect expertise to optimize customer experience by designing systems that enable scaling network-intensive workloads over thousands of CPUs, GPUs, and TPUs. This role is on the forefront of AI/ML, we spend a good deal of the day optimizing the networking for the latest AI workload such as LLMs.
Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience.
More and more customers run their ML and HPC workloads on AWS to reap the benefits of elasticity and flexibility of the cloud. This team works on building networking solutions to improve network speed and performance so that customers can scale their network intensive ML and HPC workloads over thousands of CPUs, GPUs and TPUs and get blazing fast performance.
Our ideal candidate will have extensive experience in low-latency networking and collective operations, such as HPC network fabric or machine learning accelerator cluster systems. Also applicable is experience high-frequency trading networking, high-speed wireless networking, or low latency interconnects such as PCIe or CXL. Proficiency in C/C++ and a deep understanding of Linux and kernel-level programming are essential. Strong problem-solving skills and the ability to troubleshoot complex networking issues are required, along with excellent communication skills to work effectively in a collaborative team environment. If you like solving hard infrastructure problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us!
A day in the life
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.
About the team
Elastic Collectives team builds out the collective operations layer in the Trainium and Nvidia stack for distributed machine learning. In any day, we are designing new algorithms, hunting for performance bottlenecks, and optimizing a customers heavy ML/AI workloads. You will be working with principal and senior principal engineers on a daily basis.
This team is critical in AI at Amazon. Every customers that uses AWS for large models training and inference will be using your software, and the performance matters. If you want to make an impact in the AI industry - this is a good team for it.
BASIC QUALIFICATIONS
- 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
Job Tags
Full time, Internship, Work from home,