Goventi
Senior Planning Research Scientist
Singapore. Posted 5 months ago
The role
You will design, implement, and optimize advanced planning algorithms for autonomous vehicles. You will own both research and engineering aspects to enable navigation in complex environments.
What you will do
- Design, implement, and maintain high-performance route planning and motion planning modules in modern C++.
- Profile and optimize planning algorithms for runtime efficiency, memory usage, and latency.
- Collaborate with perception, prediction, and control teams to ensure seamless data flow.
- Implement, simulate, and validate planning algorithms in simulation and real-world platforms.
- Debug complex, multi-module systems and analyze logs and telemetry.
- Work closely with fellow engineers and researchers.
- Mentor junior developers to strengthen engineering excellence.
Required qualifications
- Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field.
- Strong proficiency in C++.
- Solid understanding of object-oriented programming, data structures, algorithms, and real-time software design.
- Strong foundation in graph search, sampling-based, and optimization-based methods.
- Familiarity with decision-making frameworks (FSMs, behavior trees).
- Proven ability to optimize code for performance and resource constraints in real-time environments.
- Hands-on experience in developing large-scale robotic or autonomous systems.
- Proficiency with Linux, ROS/ROS2, Git, CMake/Bazel, and CI/CD pipelines.
- Experience leading technical projects and mentoring engineers.
- Understanding of how planning interacts with perception, localization, and control.
- Ability to reason about system-level trade-offs.
- Effective communicator who can work across disciplines.
Benefits
- World-class benefits
- Fantastic culture
- Flexible working arrangements
- Great international working environment
About the company
Venti Technologies is a leader in safe-speed autonomous logistics systems. The company develops autonomous systems for industrial and logistics sites.