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 productionization.
- 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 certificat

📌 Staff DevOps (Málaga)
🏢 Grid Dynamics
📍 Málaga