Senior Research Scientist, Planning
Venti Technologies
full-time
Posted on:
Location: 🇸🇬 Singapore
Visit company websiteJob Level
Senior
About the role
- Define and drive the technical roadmap for planning within the autonomy stack, ensuring alignment with product milestones and deployment goals.
- Design and develop advanced route planning/route optimization algorithm, and behavior and motion planning algorithms for autonomous vehicles, focusing on trajectory generation to ensure safe and efficient navigation in dynamic environments.
- Lead integration of planning algorithms with perception, prediction, localization, and control systems. Anticipate system-level trade-offs and guide architectural decisions for reliable deployment.
- Implement, simulate, and validate planning algorithms in both simulation environments and real-world autonomous platforms. Conduct in-depth analysis to ensure robustness and reliability.
- Optimize existing behavior and motion planning algorithms for enhanced performance, scalability, safety, and energy efficiency. Identify bottlenecks and propose solutions to improve real-time planning.
- Provide technical guidance to researchers and engineers, fostering a culture of innovation, ownership, and delivery.
- Anticipate long-term challenges in autonomous driving (e.g., safety validation, fleet scalability, corner case handling) and propose practical solutions that accelerate product readiness.
- Partner with engineering and product teams to translate high-level requirements into planning capabilities that support commercial deployment.
Requirements
- Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field, with a focus on route planning, motion planning, or autonomous systems.
- Strong proficiency in C++.
- Experience with software development for large-scale autonomous systems.
- Mastery of planning algorithms (graph search, sampling-based, and optimization-based methods), route planning, and decision-making frameworks (behavior trees, FSMs, RL).
- Demonstrated ability to optimize algorithms for performance and efficiency in real-time systems.
- Hands-on experience with ROS (Robot Operating System) and real-world deployment of autonomous systems or robots.
- Experience leading technical projects, mentoring engineers, and contributing to organizational growth.
- Problem-Solving Mindset: Ability to identify product-critical challenges, balance trade-offs, and deliver scalable solutions under real-world constraints.