Accelerate NXP’s New Product Introductions by building reliable, scalable, and automated infrastructure that powers analytics and ML solutions across R&D
Job Summary
Accelerate NXP’s New Product Introductions by building reliable, scalable, and automated infrastructure that powers analytics and ML solutions across R&D.
Collaborate closely with data scientists, data engineers, software developers, and IT teams to advance modern DevOps and MLOps practices.
Develop and manage cloud and on-prem infrastructure supporting data processing, analytics applications, and ML workloads, ensuring reliability, scalability, and reproducibility.
Matching Summary
Accelerate NXP’s New Product Introductions by building reliable, scalable, and automated infrastructure that powers analytics and ML solutions across R&D.
Skills & Requirements
Must-have
Python and Bash proficiency
Docker containerization
Monitoring and observability solutions
Git and modern version control
Cloud infrastructure management
Infrastructure as Code (IaC)
Nice-to-have
Splunk, Prometheus, Grafana, ELK
GitLab
AWS
Terraform or CDK
Agile and Scrum methodologies
Key Requirements
Master’s degree in data engineering, Software Engineering, Computer Science, or related field
10+ years of experience as a software, data or DevOps engineer