Sr. Software Engineer, EC2 Instance Networking

Company: Amazon Development Center U.S., Inc.
Location: Cupertino
Posted on: July 10, 2025

Job Description:

Join our team building the scale-out networking backbone that powers the world's largest AI training clusters. We're developing high-performance RDMA and RoCE solutions that enable distributed training of trillion-parameter models across thousands of compute nodes on AWS infrastructure. Our team is responsible for creating the networking software that connects massive AI accelerator clusters, focusing on SmartNIC integration, collective communication optimization, and ultra-high-bandwidth inter-rack connectivity. As a senior engineer, you'll drive technical architecture decisions and lead the development of next-generation distributed AI training infrastructure. Key job responsibilities * Lead the design and development of high-performance networking software solutions utilizing RDMA and RoCE technologies for large-scale AI clusters * Architect SmartNIC integration strategies with EC2 control plane systems and define API specifications * Drive optimization of collective communication patterns and multi-rack networking protocols for distributed AI training * Lead development of comprehensive performance monitoring, metrics collection, and benchmarking infrastructure * Design automated testing frameworks and stress testing methodologies for large-scale distributed systems * Lead complex system-level debugging efforts across hardware acceleration, kernel networking, and distributed applications * Define technical architecture and strategy for next-generation scale-out AI cluster networking * Provide technical leadership and mentoring to engineering teams * Drive cross-functional collaboration with hardware, cloud infrastructure, and AI platform teams * Lead technical design reviews and establish engineering best practices About the team Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. 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. Our senior members enjoy one-on-one 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s in our nature to learn and be curious. Our employee-led 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 (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life 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, there’s nothing we can’t achieve in the cloud. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience as a mentor, tech lead or leading an engineering team - 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 programming experience in C/C++ with focus on high-performance distributed systems - 5 years of leading design or architecture of large-scale networked systems - Deep expertise in RDMA technologies, RoCE implementations, and high-performance networking - Extensive experience with collective communication libraries (NCCL, RCCL, OneCCL, MPI) - Experience as a technical lead or leading engineering teams on complex infrastructure projects PREFERRED QUALIFICATIONS - 5 years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Expert-level experience with SmartNIC programming and network acceleration hardware APIs - Deep knowledge of AI training infrastructure, cluster networking, and scale-out communication patterns - Proven track record of performance optimization and system-level debugging in distributed environments - Experience with cloud infrastructure integration, virtualization, and large-scale system deployment - Understanding of modern AI accelerator architectures and multi-rack cluster design - Experience building and optimizing systems for trillion-parameter model training workloads - Track record of delivering complex technical projects in high-performance computing environments - Strong communication and technical leadership skills - Master's degree in Computer Science, Computer Engineering, or related field - Experience with AWS cloud infrastructure and large-scale distributed system operations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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.

Keywords: Amazon Development Center U.S., Inc., Pleasanton , Sr. Software Engineer, EC2 Instance Networking, IT / Software / Systems , Cupertino, California