Sde I – Systems – Runtime – And ML Infrastructure – AWS Custom Silicon – Annapurna Labs
| Company | Amazon |
|---|---|
| Location | Seattle, WA, USA, Austin, TX, USA, Cupertino, CA, USA |
| Salary | $99500 – $200000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- Bachelor’s or Master’s degree earned (or expected to be earned) 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
Responsibilities
- Develop and optimize software for custom hardware and ML infrastructure
- Collaborate with hardware teams to understand and leverage chip architecture
- 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
Preferred Qualifications
- 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