Principal Robotics Engineer (Robotics Solutions & Integration)

Venti Technologies; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

Venti Technologies, located in Singapore, seeks a Staff Research Scientist in Localization and Mapping to lead innovations in autonomous logistics. This role involves developing scalable map generation and safety-critical modules for driverless trucks in complex environments.

The ideal candidate will possess a PhD and over 8 years of robotics experience. Application of expertise in robotics, C++, Python, and industrial platforms is essential for success.

Qualifications

• PhD required in a relevant discipline with strong robotics focus.
• 8+ years of robotics industry experience in deployment.
• Proven track record delivering robotic solutions from concept to deployment.

Responsibilities

• Champion the research roadmap for safety-critical driverless truck operations.
• Evaluate robotics, automation, and manipulation solutions.
• Engage with vendors to define technical requirements.

Skills

Robotic manipulation and industrial robotics

Motion planning and robot controls

Computer vision and pose estimation

Sensor fusion and perception systems

Education

PhD in Robotics, Mechanical Engineering, Electrical Engineering, or Computer Science

Tools

C++

Python

ROS/ROS2

MoveIt

Job description

A world empowered by autonomy

We build robotic vehicles to improve logistics safety, forge a greener Earth, and enhance human lives. We are a closely‑knit team of innovators, tinkerers, and problem‑solvers. Our mission is to deploy fleet‑level autonomous vehicles and to be the best‑of‑the‑best in making this a reality.

About Venti Technologies

Based in the U.S. and Asia, Venti Technologies is a leader in safe‑speed autonomous logistics systems. We develop the future of goods transportation using rigorous mathematics, deep learning, and proprietary algorithms. Our solutions save costs, increase vehicle utilization, and improve safety, and we are growing rapidly across industrial and logistics sites in Asia. Offices are located in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore.

Staff Research Scientist, Localization and Mapping

In this individual‑contributor role you will champion the research roadmap, mandatory tool development, scalable map generation, and live autonomy stack core modules for safety‑critical driverless truck operations in complex logistics yards. The initial focus is on enabling fully driverless terminal operations through automated trailer coupling operations—including connection and disconnection of air brake (gladhand) and electrical interfaces.

Key Responsibilities

• Solution Evaluation & Technology Strategy
  • Evaluate robotics, automation, sensing, and manipulation solutions from vendors, startups, and research institutions.
  • Conduct technical due diligence and gap analysis.
  • Develop build‑versus‑buy recommendations.
  • Identify opportunities to leverage existing technologies before pursuing custom development.
• Vendor Engagement
  • Engage with robotics vendors, automation suppliers, and research partners.
  • Define technical requirements and interface specifications.
  • Establish performance benchmarks and validation criteria.
• System Architecture & Integration
  • Define overall robotic automation architecture.
  • Integrate robotic systems with Automated Terminal Tractors (ATTs) and related platforms.
  • Specify mechanical, electrical, software, and safety interfaces.
  • Support deployment, testing, and field validation.
• Robotics Development & Prototyping
  • Design and prototype robotic manipulation solutions when commercial options are insufficient.
  • Develop perception, localization, and motion‑planning algorithms.
  • Design end‑effectors, automation mechanisms, and implement motion planning and controls.
  • Analyze field operational data to improve system robustness and reliability.

Required Experience & Qualifications

• PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Mechatronics, or a closely related discipline with a strong robotics focus.
• 8+ years of robotics industry experience, including real‑world deployment of robotic systems.
• Proven track record delivering robotic solutions from concept through deployment.
• Experience evaluating, selecting, and integrating third‑party robotics technologies.
• Experience with industrial robotic platforms such as ABB, Fanuc, KUKA, Yaskawa, Universal Robots, Franka, or equivalent systems.
• Strong experience in several of the following areas:
  • Robotic manipulation and industrial robotics
  • Motion planning and robot controls
  • Computer vision and pose estimation
  • Sensor fusion and perception systems
  • Industrial automation and system integration
  • Safety‑critical robotic systems
• Hands‑on experience with C++, Python, ROS/ROS2, MoveIt or equivalent robotics frameworks and robot kinematics and controls.
• Proven ability to independently develop prototypes, validate approaches, and troubleshoot field issues.

Bonus Experience

• Experience with modern AI‑driven robotics approaches, including:
  • End‑to‑end robotic learning systems
  • Vision‑Language‑Action (VLA)/VLM models
  • Learning‑based manipulation
  • Imitation learning
  • Reinforcement learning
  • Foundation models for robotics

If you’re ready to apply your skills and creativity to the most impactful challenges in autonomous logistics, we would love to hear from you.