Venti Technologies - Senior Planning Research Scientist
Requirements
• Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field. • Programming Proficiency: Strong proficiency in C++. Solid understanding of object-oriented programming, data structures, algorithms, and real-time software design. • Algorithmic Knowledge: Strong foundation in graph search, sampling-based, and optimization-based methods, and familiarity with decision-making frameworks (FSMs, behavior trees). • Experience with Optimization: Proven ability to optimize code for performance and resource constraints in real-time environments. • Software Development Experience: Hands-on experience in developing large-scale robotic or autonomous systems. Proficiency with Linux, ROS/ROS2, Git, CMake/Bazel, and CI/CD pipelines. • Leadership and Mentorship: Experience leading technical projects, mentoring engineers, and contributing to organizational growth. • System Thinking: Understanding of how planning interacts with perception, localization, and control. Ability to reason about system-level trade-offs. • Collaboration: Effective communicator who can work across disciplines and translate algorithmic concepts into software components that meet product requirements. • SALARY IS COMMENSURATE WITH EXPERIENCE. WE ALSO OFFER WORLD-CLASS BENEFITS, FANTASTIC CULTURE, FLEXIBLE WORKING ARRANGEMENTS, AND A GREAT INTERNATIONAL WORKING ENVIRONMENT. COME AND JOIN US!
Responsibilities
• Algorithm & System Development: Design, implement, and maintain high-performance route planning and motion planning modules in modern C++. Deliver robust, efficient, and maintainable code for real-time autonomous driving applications. • Performance Optimization: Profile and optimize planning algorithms for runtime efficiency, memory usage, and latency to meet real-time operational constraints. • System Integration: Collaborate with perception, prediction, and control teams to ensure seamless data flow and performance consistency across the autonomy pipeline. • Simulation and Testing: Implement, simulate, and validate planning algorithms in both simulation environments and real-world autonomous platforms. Conduct in-depth analysis to ensure robustness and reliability. • System Debugging & Deployment: Debug complex, multi-module systems, analyze logs and telemetry, and ensure successful deployment of planning modules in both simulated and real-world environments. • Collaboration & Mentorship: Work closely with fellow engineers and researchers, share best practices in system design, and mentor junior developers to strengthen engineering excellence within the team.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT