Senior Software Engineer, ML Infrastructure Platform
Nuro · Mountain View, California (HQ)
About this role
**Senior Software Engineer, ML Infrastructure Platform** **Who We Are** Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world—safer streets, more time for what matters, and easier access to the world around us. We’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale—from robotaxis and logistics fleets to personal vehicles. **About the Role** Nuro takes a machine-learning-first approach to autonomous driving. The ML Infrastructure team builds and operates the infrastructure that makes that possible. We own the systems that train the models at the core of the Nuro Driver™—from distributed GPU training and closed-loop reinforcement learning to workflows, orchestration, observability, and cost management that keep the fleet running efficiently. **About the Work** - Contribute to Nuro’s training infrastructure, spanning multi-generation accelerators and multi-cluster scheduling and orchestration. - Design and operate large-scale data pipelines—batch and streaming ingestion, storage layout, and high-throughput data generation and storage. - Design and develop agentic-first ML workflows: data-to-training-to-evaluation pipelines that are introspectable, reproducible, and easy for autonomy teams to run and extend. - Own reliability for critical training and release pipelines: instrument them, define meaningful alerting, and build the on-call and incident-response practices that catch regressions. **About You** - BS, MS, or PhD in Computer Science, Electrical Engineering, or a closely related field, plus 3+ years of relevant work experience. - Willingness to deep-dive into implementation and raise the technical and operational standards of the broader engineering organization. - Demonstrated ownership mindset (e.g., monitoring, alerting, runbooks) to drive systems to operational maturity. - Strong proficiency in Python (and comfort with C++, Go, or a similar systems language).
Listing freshness
CronJobs last confirmed this listing 1d ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.