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# Software Development Engineer I - AI/ML Network Infrastructure, Annapurna Labs

- **Company:** Amazon.com, Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Starter
- **Salary:** $127,100.0 - $185,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, C++ (Programming Language), Computer Clusters, Profiling, Protocol Stack, Nvidia CUDA, Computer Engineering, Continuous Integration, Distributed Systems, Memory Management, Fault Tolerance, Python (Programming Language), Linux Kernel, Linux System Administration, Message Passing Interface, Network Architecture, Network Programming, Network Service, Open Source Technology, Remote Direct Memory Access, Software Engineering, Toolchain, Multithreading, Grafana, Gpu Programming, Linux Development, Information Technology, Machine Learning Operations
- **Published:** July 22, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10475660/software-development-engineer-i-ai-ml-network-infrastructure-annapurna-labs

## About the Role

Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field (recent graduates welcome)

 - Strong proficiency in C/C++
 - Solid coursework or project experience in: 1/ Operating Systems (Linux internals, kernel concepts, memory management) 2/ Parallel Computer Architecture (multi-threading, SIMD, GPU programming, cache coherence) 3/ Distributed Systems (consensus, message passing, fault tolerance, scalability)
 - Familiarity with Linux development environments and toolchains

Preferred Qualifications

 - Internship experience in ML communications, HPC networking, or RDMA/high-speed interconnects
 - Exposure to network programming (sockets, MPI, collective communication patterns)
 - Experience with performance profiling and optimization
 - Familiarity with GPU programming (CUDA) or hardware-software co-design
 - Contributions to open-source projects in systems, networking, or HPC

## Description

We're looking for a talented early-career engineer to join our team that owns the network stack for EC2 distributed AI/ML systems. You'll work on software that enables the world's largest AI models to train across massive GPU clusters, developing support for communication libraries and frameworks like NCCL, NVSHMEM, and NIXL., Write high-performance C/C++ code for network communication libraries running on custom AWS hardware

 - Build and maintain infrastructure that monitors functionality and performance of large-scale AI/ML workloads
 - Develop automation using Python and AWS tools (CI/CD, Grafana, Athena) to test, benchmark, and deliver software to customers
 - Design mechanisms to detect functional and performance regressions before they reach production
 - Work across many instance types, software stacks, and Linux environments


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