Amazon Development Center U.S., Inc.
Technology
SoftwareDevelopmentEngineer,EC2InstanceNetworking
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer, EC2 Instance Networking at Amazon Development Center U.S., Inc.. Skills: Networking software, RDMA, RoCE, AI infrastructure. Design networking software solutions. Develop networking software solutions”
Industry & Context.
Debugging; Problem-solving skills
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design experience, C/C++ programming skills, RDMA technologies experience, Linux networking experience, Kernel development experience, Distributed systems experience, HPC clusters knowledge, Parallel programming knowledge
Nice to Have
3+ years full SDLC experience, SmartNIC programming experience, AI training infrastructure knowledge, Multi-rack cluster networking knowledge, Performance optimization experience, Benchmarking experience, System-level debugging experience, AI accelerator architectures knowledge, Scale-out communication patterns knowledge, Cloud infrastructure integration experience, Virtualization technologies experience, Problem-solving skills, Complex distributed systems experience, Algorithm design proficiency, Data structures proficiency, Linux operating system knowledge, Develop complex software systems experience, Professional software engineering practices knowledge, Best practices for SDLC knowledge, Ability to scope requirements, Ability to launch projects, Experience communicating with users, Experience communicating with technical teams, Experience communicating with management, Mentoring junior engineers experience, Driving engineering excellence experience
What You'll Do.
Design networking software solutions
Develop networking software solutions
Integrate SmartNIC acceleration hardware
Optimize collective communication patterns
Develop performance monitoring tools
Develop metrics collection tools
Develop benchmarking tools
Create automated testing frameworks
Create stress testing tools
Debug system-level issues
Collaborate on architecture decisions
Participate in design reviews
Participate in code reviews
Create technical documentation
How You'll Work.
Team & Collaboration
Cross-functional teams; Technical teams; Management
Communication Scope
Technical documentation; User communication; Team communication; Management communication
Process & Methodology
Scoping requirements, Project launch
Full 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. You'll be working at the intersection of cloud infrastructure and state-of-the-art AI hardware to solve some of the most challenging networking problems in distributed computing. Key job responsibilities * Design and develop high-performance networking software solutions utilizing RDMA and RoCE technologies for large-scale AI clusters * Integrate SmartNIC acceleration hardware with EC2 control plane systems and APIs * Implement and optimize collective communication patterns for distributed AI training workloads * Develop comprehensive performance monitoring, metrics collection, and benchmarking tools for high-bandwidth cluster interconnects * Create automated testing frameworks and stress testing tools for multi-rack distributed systems * Debug complex system-level issues across hardware acceleration, kernel networking, and distributed applications * Collaborate on architecture decisions for next-generation scale-out AI infrastructure * Participate in design reviews, code reviews, and technical documentation 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 Thi
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