Full Job 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.
This is a ground-floor opportunity to work at the intersection of high-performance computing, networking, and machine learning infrastructure - building the systems that power the largest AI workloads in the cloud.
Key job responsibilities
- 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
BASIC QUALIFICATIONS
Are 18 years of age or older
Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
Experience using AI-assisted development tools in academic or professional settings
Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
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
Experience from a technical internship
Experience in optimization mathematics such as linear programming and nonlinear optimization
Experience with distributed, multi-tiered systems, algorithms, and relational databases
Work 40 hours/week, and overtime as required
Experience from previous technical internship(s) or demonstrated project experience
Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems
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
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
Cupertino, CA, USA - 148,400.00 USD Annually