ML Infra Engineer, Platform
Core
Build and operate the backbone infrastructure for training VLA models, orchestrating large-scale simulation, and deploying intelligence across fleets of physical robots.
Role type
Senior IC ML Infra Engineer (Platform)
Builds
Scalable microservice platform, Kubernetes clusters, multi-cloud infrastructure, and internal APIs for evaluation services and operational tooling.
Domain
Robotics, AI/ML, Cloud Infrastructure
Deliverable
infrastructure
Required skills
Kubernetes, cloud platforms (GCP, AWS), distributed systems, infrastructure-as-code (Terraform), containerization, observability, security, networking architecture, cost optimization, incident response, SLOs, debugging complex distributed systems.
Preferred skills
Large-scale ML training infrastructure, secrets management, robotics/simulation background.
Technologies
Kubernetes, GCP, AWS, Terraform, Docker, Prometheus, Grafana, Istio, Doppler.
Responsibilities
Operate and evolve Kubernetes clusters and service deployment patterns; drive security, observability, and cost-aware infrastructure; harden platform foundations with multi-cloud considerations; improve developer experience with documented interfaces; collaborate with researchers to translate needs into reusable infrastructure.
Seniority
Senior, hands-on IC
