Company
Qualcomm Europe, Inc. Italy Branch Office
Job Area
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 in common programming languages. The ideal candidate is passionate about building scalable systems and can balance platform engineering with solid software development practices.
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 the platform roadmap; operate independently and drive outcomes end‑to‑end.
* Build and optimize data pipelines for ingestion, transformation, storage, and retrieval supporting ML workflows (batch and streaming).
* Write clean, efficient, and maintainable code (services, operators, automation, tooling) in multiple programming languages.
* Collaborate with data science and engineering teams to integrate ML and data workflows seamlessly (feature stores, model registries, artifact stores).
* Implement CI/CD for ML and data workflows using Argo Workflows, ArgoCD, GitHub Actions; champion testability and reproducibility.
* Maintain observability (Prometheus, Grafana) and logging (AWS CloudWatch, ELK/Opensearch); drive SLOs, tracing, and cost‑awareness.
* Operate AWS services (EKS, EC2, VPC, IAM, S3, EFS, Batch) across hybrid environments and contribute to security and compliance controls.
* Continuously improve platform reliability, performance (GPU utilization, throughput), and developer experience; stay current on modern MLOps/Data engineering practices.
Minimum Qualifications
* Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of software engineering experience, or Master’s degree with 3+ years, or PhD with 2+ years.
* 2+ years of work experience with programming languages such as C, C++, Java, Python, etc.
* Strong proficiency in Python and at least one of Go, C++, Rust, Bash.
* Solid grasp of data structures, algorithms, concurrency, networking, and distributed systems.
* Experience with Kubernetes, Helm, Argo Workflows, ArgoCD, Docker.
* Ability to pass coding assessments demonstrating problem‑solving and clean code practices.
* Exposure to AWS (EKS, EC2, VPC, IAM, S3, EFS, Batch) and CI/CD automation.
Preferred Qualifications
* Experience building large‑scale data pipelines (batch/streaming), data orchestration, and storage patterns (S3, EFS, parquet/ORC).
* Familiarity with observability stacks (Prometheus/Grafana), ELK/Opensearch, and CloudWatch.
* Knowledge of ML optimization techniques, GPU memory management, and model deployment at scale.
* Experience with security and compliance for ML/data platforms (IAM, policies, isolation).
* Prior contributions to platform services (custom controllers/operators, plugins) and developer tooling.
* Ability to mentor and influence technical direction while remaining hands‑on.
What We’re Looking For
* A hands‑on technical leader who thrives on solving complex, system‑level problems and can execute independently.
* Excellent communication, cross‑functional collaboration, and pragmatic delivery focus.
* Passion for building robust, scalable platforms that accelerate ML and data innovation.
Equal‑Opportunity Statement
Qualcomm is an equal‑opportunity employer. If you are an individual with a disability, we are committed to providing an accessible application and hiring process and will provide reasonable accommodations.
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