Robotics Engineer, Model Deployment (AI)

Location: Zürich, Switzerland

Company

hirify.global is an early-stage deep-tech robotics and AI startup developing dexterous robotic hands and AI-driven automation solutions for manual labour tasks.

What you will do

• Integrate and deploy AI models on different robotic platforms, sensors, hardware stacks, and customer environments.
• Adapt software, training, and deployment systems to new robots and environments while optimizing customer robotics stacks.
• Diagnose AI, software, and robotics integration issues and drive them to resolution.
• Build scalable tooling and workflows for model deployment, monitoring, improvement, and productization.
• Own deployment planning and execution, coordinate with customers and internal teams, and communicate progress and technical risks.
• Translate deployment learnings into improvements for the AI, robotics, and product stack.

Requirements

• Master’s or PhD degree in Computer Science, Robotics, AI, Electrical Engineering, Mechanical Engineering, or a related technical field.
• Strong robotics background and very good understanding of physical AI and robotics systems.
• Excellent software engineering skills, including designing, implementing, and testing robust solutions.
• Strong Python skills and experience with modern machine learning frameworks such as PyTorch.
• Experience deploying AI/ML systems on real robotic hardware.
• Good understanding of AI training methods, data pipelines, and model evaluation.
• Ability to build repeatable and scalable solutions rather than one-off integrations, with strong problem-solving skills across AI, software, and robotics.
• Strong ownership and ability to independently plan and execute technical deployments.
• Excellent communication skills and confidence working directly with technical customers.
• Fluent English, willingness to travel for customer deployments and technical workshops, and a Category B driving licence.

Nice to have

• Familiarity with imitation learning, reinforcement learning, diffusion policies, and foundation models.
• Experience with robotic manipulation, ROS/ROS2, robot control systems, or simulation environments.
• Experience integrating AI models with robotic hardware platforms.
• Familiarity with cloud infrastructure, containerization, and deployment tooling such as Docker and Kubernetes.

Culture & Benefits

• Competitive yearly base salary and a strong stock option package.
• Opportunity to help shape a robotics and AI company from the ground up.
• Flat hierarchies with direct collaboration with founders and robotics specialists.
• Commitment to diversity, inclusion, and respect for individual perspectives.