Senior Solutions Architect, Physical AI Cloud
Core
Design and scale Kubernetes-native environments for distributed Robotics workloads, including robotics simulation, synthetic data generation, and multi-step model training.
Role type
Senior Solutions Architect (Physical AI Cloud)
Builds
Scalable, observable, GPU-accelerated Physical AI pipelines and data factories for robotics simulation and inference.
Domain
Robotics AI & Simulation, Cloud Infrastructure
Deliverable
production ML models
Required skills
Kubernetes, GPU workload orchestration, cloud-native architecture, networking (DNS, LB, TCP/IP), storage technology, workflow orchestration (Airflow, Argo), DevOps (GitOps, IaC), agentic workflows, robotics frameworks (ROS2), NVIDIA platforms (Isaac Lab, Isaac Sim, NIM, TensorRT-LLM, vLLM)
Preferred skills
Large scale Robotics data curation, API development (REST, gRPC), quantization techniques
Responsibilities
Design cloud-native architectures for robotics workloads, develop Physical AI data factories, accelerate distributed inference, provide technical guidance to customers, optimize GPU utilization across hybrid infrastructure
Seniority
Senior, hands-on IC
