Software Engineer - ML Platform at mobileye

Mobileye's ML Platform group builds and operates the core infrastructure that powers large-scale AI workloads across on-prem bare-metal GPU clusters and multi-cloud environments. Our goal is to deliver the modern infrastructure and tooling that accelerates Mobileye's entire algorithm development lifecycle - from a researcher's first experiment to a production deployment.   We are a small, independent group of engineers with diverse skills across software, infrastructure, and systems. We set the standards, build the cross-company products, and take end-to-end ownership of everything we ship.   What will your job look like? • Design, develop, and maintain the Python framework that enables algorithm developers across Mobileye to train, validate, quantize, and deploy deep learning models - locally, on-prem, and across cloud providers - through a single unified interface • Build high-performance data streaming libraries that feed large-scale distributed training pipelines in Rust with Python interfaces • Set the standard for reliable, reproducible research at scale - experiment tracking, configuration management, checkpoint handling, and multi-node training • Work directly alongside algorithm researchers to understand friction, propose solutions, and ship them - without layers of process in between • Contribute to open source when the right fix/feature belongs upstream All you need is: • A value-first mindset focused on shipping early and often • 2+ years of hands-on experience as a software engineer in the industry or in a similar relevant role • B.Sc. in Computer Science, Software Engineering, or equivalent hands-on experience • Strong software engineer skills in Python - tested, production-grade code that other engineers can build on • Familiarity with deep learning frameworks (ideally Pytorch) and distributed training workflows • Experience with containerization and CI/CD pipelines Advantages: • Contributions to open source projects • Familiarity with Linux internals - networking, file systems, process management • Experience in Rust/C/Cuda • Experience with cloud infrastructure (AWS or similar) and distributed storage • Exposure to infrastructure-as-code or Kubernetes-based deployments Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!