ML Platform Software Engineer
Pubblicato il 12-10-2026 - MaC VC in Gallicano Nel Lazio
Company:Qualcomm Europe, Inc. Italy Branch Office
Job Area:Engineering Group, Engineering Group > Software Engineering
General Summary:We are seeking an exceptional Staff Software Engineer to join our ML Platform team. This role is ideal for a highly technical individual contributor who combines deep hands‑on expertise with the ability to lead and drive complex projects independently. You will design, build, and optimize large‑scale ML and data infrastructure across on‑premises NVIDIA DGX clusters and AWS Cloud, enabling advanced training pipelines, robust data workflows, and production‑ready ML solutions. Beyond infrastructure, this position requires strong software engineering fundamentals. You will be expected to write high‑quality, production‑grade code and master common programming languages. The ideal candidate is passionate about building scalable systems and can balance platform engineering with solid software development practices.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science,
or related field and 4+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Key Responsibilities
- Architect and develop core components of the ML platform and data infrastructure for training, inference, and large‑scale data processing.
- Design and implement scalable solutions for GPU clusters and distributed data pipelines on‑prem and in AWS.
- Lead project workstreams, ensuring timely delivery and alignment with platform roadmap; operate independently and drive outcomes end‑to‑end.
- Build and optimize data pipelines for ingestion, transfor