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 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 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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 hiring.amazon.com . Cupertino, CA, USA - 148,400.00 USD Annually

Requirements

Must-haves

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
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++
Familiarity with Linux development environments and toolchains
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningawspythonci/cdjavagorusttypescriptsql

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

401(K)