Senior Machine learning Engineer
Core
Building and maintaining the backbone of an L2+ ADAS stack by managing deep learning infrastructure, optimizing data ingestion pipelines, and enabling feature teams to train complex multimodal models.
Role type
Senior Machine Learning Engineer (Deep Learning Infrastructure & MLOps)
Builds
Scalable deep learning infrastructure, high-performance data loaders, CI/CD pipelines, and evaluation pipelines for embedded targets.
Domain
Automotive ADAS, Deep Learning, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Kubernetes, Azure (ML/Storage/Networking), Ray, PyArrow, SQL, CI/CD (GitHub Actions), Grafana, PyTorch, Docker, Embedded evaluation (QNN)
Preferred skills
Advanced degree in CS/EE, experience with next-gen GPU hardware (H200/H100), model compression techniques
Technologies
Azure Blob Storage, VNET, Kubernetes, Ray, PyArrow, SQL, GitHub Actions, Grafana, Prometheus, PyTorch, Hydra, Ubuntu
Responsibilities
Manage and optimize DL infrastructure including Azure storage and hybrid Kubernetes clusters; Architect high-performance data loaders for multimodal datasets; Design robust CI/CD pipelines and monitoring dashboards; Establish scalable evaluation pipelines for embedded targets.
Seniority
Senior, hands-on IC
