1.84 Robotics AI Engineer
Summary
Design and deploy AI algorithms for robotics autonomy, integrating perception, planning, and control systems in Python/C++ and ROS/ROS2 for real-world deployments in construction, security, and mining.
Robotics AI Engineer
Location: Singapore
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, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
About Field AI
Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.
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. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
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.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Singapore
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, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
About Field AI
Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.
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. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
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.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.