Senior Planning Research Scientist - Autonomous Robotics

Venti; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Venti in Singapore is seeking a Staff Planning Research Scientist to lead the technical direction for planning within their autonomy stack. The candidate will drive the research roadmap, guide algorithmic innovation, and oversee the integration of planning with other systems. A Ph.D. or Master's in a relevant field is required along with deep expertise in planning algorithms and real-world systems experience. This role offers the opportunity to shape the future of autonomy in logistics and embrace a culture of innovation.

Qualifications

• Educational background in a relevant field with focus on autonomy systems.
• Deep expertise in planning algorithms and frameworks.
• Strong theoretical foundation in optimization and control theory.
• Experience with the deployment of autonomous systems.
• Track record of leadership and technical guidance.
• Excellent collaboration and communication skills.

Responsibilities

• Define research and development roadmap for autonomy stack planning.
• Design and validate advanced planning algorithms.
• Integrate planning with perception and control systems.
• Prototype ideas and guide their evolution to production systems.
• Establish analysis methods to evaluate planning performance.
• Mentor team members to foster innovation and delivery.
• Stay informed on advances in planning and represent Venti in discussions.

Skills

Planning algorithms (graph search, sampling-based, optimization)

Route planning

Decision-making frameworks (behavior trees, FSMs, RL)

Optimization

Probabilistic reasoning

Control theory

ROS (Robot Operating System)

Leadership and mentorship

Collaboration & Communication

Education

Ph.D. or Master’s in Computer Science, Robotics, Engineering

Job description

Venti in Singapore is seeking a Staff Planning Research Scientist to lead the technical direction for planning within their autonomy stack. The candidate will drive the research roadmap, guide algorithmic innovation, and oversee the integration of planning with other systems. A Ph.D. or Master's in a relevant field is required along with deep expertise in planning algorithms and real-world systems experience. This role offers the opportunity to shape the future of autonomy in logistics and embrace a culture of innovation.