Senior Automation & Controls Engineer

About Skild AI

At Skild AI, we’re building the world’s first general-purpose robotic intelligence—systems that can robustly adapt to unseen environments without failure. We believe large-scale, data-driven machine learning is the key to unlocking widespread real-world robotics deployment.

Our team spans from early-career engineers to industry veterans. While experience matters, we prioritize demonstrated ability, curiosity, and execution. We’re looking for engineers who are excited to tackle unsolved problems and build systems that operate at real-world scale.

We’re seeking a Senior Automation & Controls Engineer to design and deploy advanced robotic automation systems. You will work closely with robotics and machine learning engineers to bring the Skild Brain into live production environments. You’ll also help build automated systems for testing, validation, and scaling our growing robot fleet.

This role sits at the intersection of AI, robotics, and industrial automation, with direct impact on real-world deployments across multiple industries.

• Design, implement, and maintain automation systems powered by Skild AI models
• Develop PLC- and vision-based solutions to support large-scale robotic deployment and validation
• Build automated testing infrastructure to improve data quality and model performance
• Collaborate with robotics and machine learning teams to integrate Skild’s robotic stack into production environments
• Support real-world deployments, system tuning, and ongoing operational improvements

• 3+ years of industry experience in automation, controls, or robotics engineering
• Degree in Mechanical Engineering, Electrical Engineering, Robotics, Controls, or equivalent hands‑on experience
• Strong hands‑on expertise with PLCs, vision systems, sensors, actuators, and full system integration
• Experience building, launching, and sustaining production-grade automation or robotic systems
• Knowledge of industrial automation standards and plant communication protocols
• Strong system-level understanding of robotics software stacks and module interfaces

• Work on general‑purpose robotic intelligence at real‑world scale
• Deploy AI-powered automation into live production environments
• Collaborate with top robotics and machine learning engineers
• Operate in a fast-moving, execution-focused engineering culture
• Play a key role in scaling intelligent robotic systems globally