- Clementi West Region (Singapore) Singapore
Black Sesame Technologies (Singapore) Pte Ltd Hiring! Full Time Engineer, Embodied AI in West Region (Singapore), Earn up to SGD 8,000 - Ricebowl
Engineer, Embodied AI
Black Sesame Technologies (Singapore) Pte Ltd
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Job Description
Responsibilities
We are looking for an
Embodied AI / Robot Intelligence R&D Engineer
to develop next-generation robot intelligence systems that bridge large AI models with real-world robotic perception, planning, decision-making, and control. The role will focus on building a modular
robot brain architecture
combining
LLM/VLM/VLA, world models, task planning, spatial intelligence, robot skills, physical verification, and ROS 2-based execution
.
Key Responsibilities
Develop embodied AI algorithms for robotic perception, reasoning, task planning and autonomous execution.
Research and integrate
LLM, VLM and VLA models
into real-world robotic systems.
Develop
hierarchical robot planning architectures
, including LLM-based planning, task planning, skill planning and execution.
Build and maintain robot
skill/capability models
, task graphs and reusable skill libraries.
Research
world models, spatial intelligence and persistent robot memory
for long-horizon robotic tasks.
Develop semantic-geometric representations combining visual semantics, 3D geometry and robot/environment states.
Conduct simulation and real-robot experiments on mobile robots, quadruped robots, manipulators and other robotic platforms.
Track and evaluate state-of-the-art research in embodied AI, robot foundation models, VLA, world models and autonomous robotics.
Required Qualifications
Master’s degree or above
in Robotics, Artificial Intelligence, Computer Science, Automation, Electrical Engineering, Mechanical Engineering, or a related field.
Strong programming skills in
Python and/or C++
.
Solid understanding of robotics fundamentals, including at least several of the following: robot perception; task planning; SLAM/navigation; robot manipulation; reinforcement learning.
Experience with
ROS/ ROS 2
.
Good understanding of modern deep learning architectures such as
Transformer, VLM, LLM or generative models
.
Ability to independently implement and evaluate research ideas on real robotic systems.
Experience with real-world robot deployment, publications, patents, or open-source robotics projects will be an advantage.
Black Sesame Technologies is a leading automotive-grade computing SoC and SoC-based intelligent vehicle solution provider. Since our founding in 2016, we have been committed to driving innovation and pushing the boundaries of intelligent vehicle technology. In 2024, we proudly marked a significant milestone by being officially listed on the main board of the Hong Kong Stock Exchange (stock code: 2533.HK). Our journey began with the Huashan Series high-computing power SoCs designed for autonomous driving, and in 2023, we introduced the Wudang Series cross-domain SoCs to meet the increasingly diverse and sophisticated demands of intelligent vehicles, while also expanding into broader application areas. Our proprietary automotive-grade products and technologies empower intelligent vehicles with mission-critical capabilities such as autonomous driving, smart cockpit, advanced imaging, and connectivity.
At Black Sesame Technologies, we not only provide robust SoCs and SoC-based solutions powered by our in-house developed IP cores, algorithms, and support software, but we also bring full-stack autonomous driving capabilities to meet a wide range of customer needs. We are committed to fostering a culture of innovation, where our employees are empowered to push boundaries and develop cutting-edge technology. Our people are at the core of our success, and we offer competitive compensation, growth opportunities, and a collaborative environment to ensure everyone thrives. We believe that innovation drives the future, and everything we do is aimed at making the future of intelligent vehicles safer, smarter, and more efficient for our customers.
Embodied AI / Robot Intelligence R&D Engineer
to develop next-generation robot intelligence systems that bridge large AI models with real-world robotic perception, planning, decision-making, and control. The role will focus on building a modular
robot brain architecture
combining
LLM/VLM/VLA, world models, task planning, spatial intelligence, robot skills, physical verification, and ROS 2-based execution
.
Key Responsibilities
Develop embodied AI algorithms for robotic perception, reasoning, task planning and autonomous execution.
Research and integrate
LLM, VLM and VLA models
into real-world robotic systems.
Develop
hierarchical robot planning architectures
, including LLM-based planning, task planning, skill planning and execution.
Build and maintain robot
skill/capability models
, task graphs and reusable skill libraries.
Research
world models, spatial intelligence and persistent robot memory
for long-horizon robotic tasks.
Develop semantic-geometric representations combining visual semantics, 3D geometry and robot/environment states.
Conduct simulation and real-robot experiments on mobile robots, quadruped robots, manipulators and other robotic platforms.
Track and evaluate state-of-the-art research in embodied AI, robot foundation models, VLA, world models and autonomous robotics.
Required Qualifications
Master’s degree or above
in Robotics, Artificial Intelligence, Computer Science, Automation, Electrical Engineering, Mechanical Engineering, or a related field.
Strong programming skills in
Python and/or C++
.
Solid understanding of robotics fundamentals, including at least several of the following: robot perception; task planning; SLAM/navigation; robot manipulation; reinforcement learning.
Experience with
ROS/ ROS 2
.
Good understanding of modern deep learning architectures such as
Transformer, VLM, LLM or generative models
.
Ability to independently implement and evaluate research ideas on real robotic systems.
Experience with real-world robot deployment, publications, patents, or open-source robotics projects will be an advantage.
Black Sesame Technologies is a leading automotive-grade computing SoC and SoC-based intelligent vehicle solution provider. Since our founding in 2016, we have been committed to driving innovation and pushing the boundaries of intelligent vehicle technology. In 2024, we proudly marked a significant milestone by being officially listed on the main board of the Hong Kong Stock Exchange (stock code: 2533.HK). Our journey began with the Huashan Series high-computing power SoCs designed for autonomous driving, and in 2023, we introduced the Wudang Series cross-domain SoCs to meet the increasingly diverse and sophisticated demands of intelligent vehicles, while also expanding into broader application areas. Our proprietary automotive-grade products and technologies empower intelligent vehicles with mission-critical capabilities such as autonomous driving, smart cockpit, advanced imaging, and connectivity.
At Black Sesame Technologies, we not only provide robust SoCs and SoC-based solutions powered by our in-house developed IP cores, algorithms, and support software, but we also bring full-stack autonomous driving capabilities to meet a wide range of customer needs. We are committed to fostering a culture of innovation, where our employees are empowered to push boundaries and develop cutting-edge technology. Our people are at the core of our success, and we offer competitive compensation, growth opportunities, and a collaborative environment to ensure everyone thrives. We believe that innovation drives the future, and everything we do is aimed at making the future of intelligent vehicles safer, smarter, and more efficient for our customers.
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