Job Overview
About the Role We are looking for a Senior Software Engineer to join our ML Infrastructure: Dev Enablement Team . Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.
We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you’ll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.
What You’ll Be Doing
- Architect Multi-Cloud Solutions: Explore, design, and implement multi-cloud architectures for our ML training platform to increase the availability, scalability, and resilience of high-performance compute resources (GPUs).
- System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP). Focus on resolving system-level bottleneck