Join a frontier R&D team developing next-generation embodied AI systems
Work on cutting-edge multimodal robotics research with real-world applications
About Our Client
Our client is a
global technology company
with a strong focus on advanced sensing and AI solutions for next-generation intelligent systems.
Their Singapore R&D center plays a key role in developing cutting-edge technologies that bridge human-like perception and machine intelligence.
The team brings together researchers and engineers passionate about robotics, multimodal learning, and embodied AI.
Job Description
Conduct research in embodied AI, including model design, data generation, and performance evaluation.
Develop and optimize algorithms combining multimodal sensor data (vision, LiDAR, IMU, tactile, event-based, thermal, etc.).
Build and validate proof-of-concept robotic systems using simulation platforms (MuJoCo, Isaac Sim, Omniverse, PyBullet).
Collaborate with hardware and software teams to integrate algorithms into robotic platforms.
Stay up to date with cutting-edge academic research and contribute to algorithmic innovation and benchmarking.
The Successful Applicant
Master’s or Ph.D. in Computer Science, Robotics, Electrical or Mechanical Engineering, or a related field.
Solid experience with
deep learning, reinforcement learning, imitation learning, or multimodal perception.
Proficiency in Python and C/C++, with hands‐on experience in
ROS, PyTorch, TensorFlow, and simulation tools.
Familiarity with sensor integration and robotic system debugging.
Strong analytical, problem-solving, and collaboration skills.
Bonus: Experience with CUDA or publications in top-tier AI/robotics conferences (CVPR, ICCV, NeurIPS, CoRL).
What’s on Offer
Work on
frontier embodied AI research
and real‐world robotics development.
Access to
cutting‐edge research infrastructure
and collaboration with global AI experts.
Opportunities to publish in top conferences and attend international research events.
A dynamic,
innovation‐driven environment
fostering exploration and impact.
Michael Page International Pte Ltd | Registration No. N
#J-18808-Ljbffr