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Sr. Software Development Engineer, HPC/ML Networking Engineer, Annapurna Labs
Amazon
Software Engineering, Data Science
Cupertino, CA, USA
Posted on Jul 21, 2024
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.
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
PREFERRED QUALIFICATIONS
- 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.