Robotics AI Engineer

FieldAI; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Field AI in Singapore is seeking a Robotics AI Engineer to design and deploy AI algorithms that enable robots to perceive, reason, and act in unstructured environments. You will collaborate with cross-functional teams to bring autonomy solutions from research to real-world deployment.

You will build ML models for multimodal perception, develop scalable software in Python and C++, and integrate AI with robotics hardware and embedded systems.

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Electrical Engineering, or related field.
• Strong programming skills in Python and/or C++.
• Experience with machine learning, deep learning, or AI for robotics.
• Knowledge of robotics frameworks such as ROS/ROS2.
• Experience with robot perception, SLAM, sensor fusion, or computer vision.
• Familiarity with simulation tools and robotics development environments.
• Strong problem-solving skills and ability to work in interdisciplinary teams.

Responsibilities

• Design, develop, and deploy AI algorithms for robotic perception, localization, mapping, planning, and control
• Build and train machine learning models for robotic autonomy, including multimodal perception and decision‑making
• Develop scalable software systems for robotics using languages such as Python and C++
• Integrate AI models with robotics hardware, sensors, and embedded systems
• Improve robustness, reliability, and safety of robotic systems operating in real‑world environments
• Collaborate with robotics engineers, ML researchers, and systems engineers to deliver end‑to‑end autonomous solutions
• Test and validate algorithms in simulation and real‑world deployments
• Analyze field data to improve model performance and system reliability

Skills

Python

C++

ROS/ROS2

Robotics ML

Perception/SLAM

Simulation Tools

Problem Solving

Education

CS/Robotics/EE degree

Job description

About Field AI

Field AI is transforming how robots interact with the real world. We are building risk‑aware, reliable, and field‑ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data‑driven approaches or pure transformer‑based architectures, charting a new course, with already‑globally‑deployed solutions delivering real‑world results and rapidly improving models through real‑field applications.

Learn more at https://fieldai.com.

About the Job

As a Robotics AI Engineer, you will design and deploy AI algorithms that enable robots to perceive, reason, and act in unstructured environments. You will collaborate with cross‑functional teams spanning robotics, machine learning, and systems engineering to bring cutting‑edge autonomy solutions from research to real‑world deployment.

What You’ll Get To Do

• Design, develop, and deploy AI algorithms for robotic perception, localization, mapping, planning, and control
• Build and train machine learning models for robotic autonomy, including multimodal perception and decision‑making
• Develop scalable software systems for robotics using languages such as Python and C++
• Integrate AI models with robotics hardware, sensors, and embedded systems
• Improve robustness, reliability, and safety of robotic systems operating in real‑world environments
• Collaborate with robotics engineers, ML researchers, and systems engineers to deliver end‑to‑end autonomous solutions
• Test and validate algorithms in simulation and real‑world deployments
• Analyze field data to improve model performance and system reliability

What You Have

• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Electrical Engineering, or related field
• Strong programming skills in Python and/or C++
• Experience with machine learning, deep learning, or AI for robotics
• Knowledge of robotics frameworks such as ROS/ROS2
• Experience with robot perception, SLAM, sensor fusion, or computer vision
• Familiarity with simulation tools and robotics development environments
• Strong problem‑solving skills and ability to work in interdisciplinary teams

The Extras That Set You Apart

• Experience with robot learning, reinforcement learning, or foundation models for robotics
• Experience deploying AI models on edge systems or embedded platforms
• Background in autonomous systems, navigation, or field robotics
• Experience working with real robotic platforms and sensor systems (LiDAR, cameras, IMU, etc.)

Field AI Onsite Work Philosophy

Field AI believes in‑person collaboration is essential for tackling complex challenges. This is a fully onsite role based in our Singapore office, with flexible hours to support work‑life balance.

We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply.

Why Join Field AI?

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world‑class team that thrives on creativity, resilience, and bold thinking.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision—innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

Equal Employment Opportunity Statement

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.