Principal AI/ML Engineer, AV ML Infra
Core
Design and implement scalable distributed computing and data processing solutions on cloud platforms to support GM's autonomous vehicle infrastructure.
Role type
Principal AI/ML Engineer (ML Infrastructure)
Builds
Scalable ML infrastructure, distributed computing solutions, and data processing pipelines for autonomous driving.
Domain
Autonomous Vehicles / Cloud Infrastructure
Deliverable
infrastructure
Required skills
Large-scale distributed systems, Cloud platform design (GCP/Azure), Python, C++, Golang, Relational and NoSQL databases, System scalability, Technical leadership, Organizational design
Preferred skills
Kubernetes, Open-source orchestration (Kubeflow, Flyte, Airflow), Model serving frameworks (RayServe, vLLM, Triton), ML pipelines understanding, Publications
Technologies
GCP, Azure, Python, C++, Golang, Kubernetes, Kubeflow, Flyte, Airflow, RayServe, vLLM, Triton
Responsibilities
Design and implement scalable distributed computing solutions, Own technical projects from inception to completion, Mentor engineers and conduct technical interviews, Drive organizational structure and strategy for the ML Infra team
Seniority
Principal, hands-on IC with strategic leadership
