Amazon SDE - Systems Runtime ML Infrastructure AWS Custom Silicon Annapurna Labs 

United States, Washington, Seattle 

112533853

We operate at an unprecedented scale, designing custom silicon chips, advanced networking solutions, and ML accelerators that were unimaginable just a few years ago.
Key job responsibilities
- Develop and optimize software for custom hardware and ML infrastructure- Implement and improve networking, runtime, and system-level software
- Assist in building and maintaining tools for profiling, monitoring, and debugging ML workloads
- Contribute to the development of open-source ML frameworks and infrastructure projects
- Participate in code reviews and implement best practices for software development
- Learn and apply new technologies to solve complex engineering challenges
- The Elastic Network Adapter (ENA) team revolutionizes EC2 core networking, enabling enhanced networking capabilities across AWS's most critical compute instances. Here, you'll work with networking protocols and high-performance drivers that power millions of cloud workloads.

- To qualify, applicants should have earned (or expect to earn) a Bachelor’s or Master’s degree between December 2022 to September 2025.
- Strong programming skills in C/C++ or Python, with solid understanding of data structures and algorithms
- Understanding of computer architecture, operating systems, and Linux environments
- Internship or project experience related to systems programming, networking, or ML

- Familiarity with version control systems (e.g., Git) and software development methodologies
- Knowledge of ML concepts or frameworks (e.g., PyTorch, TensorFlow)
- Interest in open-source development or contributions to technical communities