Staff ML Platform Engineer — Scale GPU Pipelines

Qualcomm; Roma; Hybrid; EUR 50,000 - 80,000; Full time

Job summary

Qualcomm is seeking a highly skilled Staff Software Engineer for its ML Platform team. This role focuses on building and optimizing scalable ML infrastructure across NVIDIA DGX clusters and AWS Cloud. The ideal candidate will have strong coding skills in languages like Python and C++, along with experience in cloud services like AWS.

Your responsibilities will include architecting data solutions, leading project workstreams, and implementing CI/CD pipelines. This position is perfect for technical leaders who enjoy solving complex problems.

Qualifications

• 4+ years of software engineering experience, or Master’s with 3+ years, or PhD with 2+ years.
• 2+ years of experience with programming languages such as C, C++, Java, Python.
• Strong proficiency in Python and at least one of Go, C++, Rust, Bash.
• Experience with Kubernetes, Helm, Argo Workflows, ArgoCD, Docker.

Responsibilities

• Architect and develop core components of the ML platform and data infrastructure.
• Design and implement scalable solutions for GPU clusters and distributed data pipelines.
• Lead project workstreams, ensuring timely delivery and alignment with the platform roadmap.
• Maintain observability and logging for performance monitoring.

Skills

Python

C++

Java

Go

Bash

Kubernetes

Docker

Education

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field

Tools

AWS

GitHub Actions

Argo Workflows

ArgoCD

Job description

Qualcomm is seeking a highly skilled Staff Software Engineer for its ML Platform team. This role focuses on building and optimizing scalable ML infrastructure across NVIDIA DGX clusters and AWS Cloud. The ideal candidate will have strong coding skills in languages like Python and C++, along with experience in cloud services like AWS.

Your responsibilities will include architecting data solutions, leading project workstreams, and implementing CI/CD pipelines. This position is perfect for technical leaders who enjoy solving complex problems.