Software Engineer, ML Dev Enablement
Core
Build a frictionless Cloud Development Environment (CDE) and Agentic AI tooling to empower researchers and engineers to rapidly innovate on deep learning models for autonomous driving.
Role type
Senior IC ML Infrastructure Engineer (Dev Enablement)
Builds
High-scale multi-cloud CDE platform, Agentic AI developer tools, and optimized distributed training ecosystems.
Domain
Autonomous driving / Deep Learning / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Distributed systems, Python/Go/C++, Kubernetes, Cloud platforms (AWS), ML development lifecycle
Preferred skills
ML model profiling, high-performance compute (GPUs), PyTorch, Ray, Agentic AI systems
Technologies
Kubernetes, AWS, PyTorch, Ray, Go, C++, Python
Responsibilities
Design and develop Agentic AI tools to automate ML workflows; Drive development of core ML infrastructure and CDE platform; Profile and optimize distributed training jobs and data pipelines to maximize GPU utilization; Partner with ML researchers to bridge infrastructure and model development needs.
Seniority
Senior, hands-on IC
