AI Robotics Engineer (Robotics)

TL;DR

AI Robotics Engineer (Robotics): Implementing vision-guided reasoning systems and decision-making layers for autonomous robotic maintenance tasks with an accent on integrating computer vision with robotic control. Focus on designing safety constraints, building simulation frameworks, and bridging perception-to-action pipelines.

Location: Singapore

Company

hirify.global is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, investing heavily in R&D to accelerate the delivery of next-generation electronic devices.

What you will do

• Implement vision-guided reasoning systems that translate perception into physical actions for robotic platforms.
• Build decision-making layers for autonomous planning, sequencing, and execution of maintenance tasks.
• Integrate computer vision models with robotic control systems to bridge perception and action.
• Design and implement safety constraints and fallback behaviors for precision hardware interaction.
• Develop simulation and testing frameworks to validate robotic behaviors before field deployment.
• Collaborate with vision teams and service engineers to validate approaches during proof-of-concept phases.

Requirements

• Bachelor's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• 1+ years of experience building robotics or autonomous systems in physical environments (strong new grads considered).
• Strong programming skills in Python and C/C++ with experience in ROS/ROS2 or equivalent frameworks.
• Hands-on experience with perception-to-action pipelines and integrating computer vision with robotic control.
• Knowledge of motion planning, path planning, sensor fusion, and real-time control systems.
• Strong understanding of safety engineering, failure modes, and human-in-the-loop design for autonomous systems.

Nice to have

• Prior experience in manufacturing, semiconductor, industrial automation, or field robotics.
• Experience with reinforcement learning for robotic control or sim-to-real transfer.

Culture & Benefits

• Competitive, family-friendly total rewards package.
• Commitment to an inclusive work environment.
• Opportunity to work on hard problems in a high-innovation culture with significant R&D investment.