Senior Software Engineer, AI/ML Platform
Core
Architect and build foundational ML infrastructure (data processing, training, sim/real evaluation, model management) to empower AI teams developing next-generation robot foundation models and end-to-end policies for humanoid robots.
Role type
Senior IC ML Infrastructure Engineer (Robotics/MLOps)
Builds
Production ML platform layer for fleet-scale humanoid robotics, including data pipelines, training workflows, and model deployment systems.
Domain
Robotics + MLOps + Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
MLOps, ML platform architecture, Kubernetes, cloud-native platforms (AWS/GCP/Azure), IaC (Terraform/CDK), multimodal data processing, CI/CD for ML, experiment tracking, model registry management
Preferred skills
Robotics/autonomous systems experience, open-source ML infrastructure contributions
Technologies
Kubernetes, MLflow, WandB, Airflow, Kubeflow, Terraform, CDK, AWS, GCP, Azure
Responsibilities
Design and implement ML platform for orchestrating end-to-end AI flywheel; develop reliable workflows across cloud compute and continuous automation; build core infrastructure components (model registry, feature store, experiment tracking); own developer-facing APIs and CLI tools; implement CI/CD lifecycle for ML; mentor junior engineers and influence platform roadmap
Seniority
Senior, hands-on IC with mentorship responsibilities