We are dedicated to creating the world’s most advanced, reliable, and commercially scalable humanoid robots. Our flagship next‑gen labor automation units are designed to seamlessly integrate into daily life and amplify human capacity, starting with high‑efficiency industrial applications.
To support this mission, we are building massive‑scale compute infrastructure to train next‑generation robotics models, including transformer‑based systems like VLA. As a Staff Engineer, you will sit at the intersection of DevOps, MLOps, and distributed systems. You will lead the design, evolution, and reliability of a multi‑GPU, cross‑cloud platform that enables cutting‑edge AI to function in real‑world environments.
Responsibilities

Architecture & Leadership: Lead the design, evolution, and long‑term technical direction of scalable, multi‑GPU infrastructure and model training platforms across cloud environments (AWS, GCP, etc.).
Scale & Optimization: Drive reliability, performance, and cost‑efficiency at scale; optimize distributed training workloads (scheduling, resource utilization,



observability).
Automation & CI/CD: Build and evolve infrastructure‑as‑code and automation for provisioning, orchestration, and lifecycle management. Architect and improve CI/CD systems for both infrastructure and ML training workflows.
Collaboration: Partner closely with ML engineers and researchers to enable efficient experimentation and seamless productionisation.
SRE & Troubleshooting: Lead the troubleshooting and resolution of complex system issues across distributed, GPU‑heavy environments.
Best Practices & Mentorship: Define and implement best practices for infrastructure, DevOps, and MLOps across the organization. Mentor engineers and raise the bar for overall engineering quality and operational excellence.
Documentation: Document architecture, systems, and key technical decisions clearly.

Requirements

Production‑grade, hands‑on experience with Kubernetes (CKA certification is preferred).

📌 Staff DevOps (Málaga)
🏢 Grid Dynamics
📍 Málaga