Robotics Engineer, Navigation

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

DADACONSULTANTS PTE. LTD. seeks a Robotics Engineer focused on Navigation to advance algorithms for humanoid robots in complex indoor settings.

The role emphasizes localization, mapping, and real-time SLAM on embedded hardware, with planning framed around legged locomotion and safe terrain traversal. Candidate should demonstrate strong estimation and probabilistic robotics background, experience deploying navigation systems on real robots, and fluency in Python and C++ with ROS or similar

Qualifications

• Strong foundations in estimation theory and probabilistic robotics.
• Proven track record building SLAM or autonomous navigation systems on real robots.
• Proficiency in Python and C++ with ROS or equivalent middleware.

Responsibilities

• Research, develop, and deploy navigation algorithms for indoor humanoid robots.
• Own localization, mapping, and real-time SLAM pipelines on embedded compute.
• Build planning frameworks for legged platforms including footstep planning and terrain traversal.
• Integrate navigation with broader autonomy stack including perception and locomotion.
• Develop data collection and evaluation infrastructure to benchmark performance across environments.

Skills

Probabilistic robotics

Motion planning

Python & C++

ROS familiarity

End-to-end systems

Tools

ROS

Embedded systems

Job description

Robotics Engineer, Navigation

What You Will Do

• Research, develop, and deploy navigation algorithms for bipedal humanoid robots operating in complex indoor environments
• Own localization, mapping, and SLAM pipelines capable of running in real time on embedded compute
• Build planning frameworks that account for the physical constraints of a legged platform -- footstep planning, terrain traversal, dynamic obstacle avoidance
• Integrate navigation with Organisation broader autonomy stack including perception and locomotion
• Develop data collection and evaluation infrastructure to benchmark performance across environments
• Systematically close the sim-to-real gap using Uranus and hardware iteration
• Contribute to open-source releases of navigation research and tooling

What You Will Bring

• Strong foundations in estimation theory, probabilistic robotics, and motion planning
• Proven track record building and deploying SLAM, planning, or autonomous navigation systems on real robots
• Proficiency in Python and C++; familiarity with ROS or equivalent middleware
• Experience getting systems to work end-to-end – not just in simulation
• Ability to debug across the hardware-software boundary and move fast on ambiguous problems
  Regret to inform that only shortlisted candidates will be notified.