Venti Technologies - Staff Planning Research Scientist
Requirements
• Educational Background: 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. • Deep Planning Expertise: Mastery of planning algorithms (graph search, sampling-based, and optimization-based methods), route planning, and decision-making frameworks (behavior trees, FSMs, RL). • Theoretical Foundations: Strong background in optimization, probabilistic reasoning, or control theory. Proven ability to formulate and solve complex autonomy problems using rigorous mathematical principles. • Experience with Real-world Systems: Hands-on experience with ROS (Robot Operating System) and real-world deployment of autonomous systems or robots. • Leadership and Mentorship: Experience leading technical projects, mentoring engineers, and contributing to organizational growth. • Collaboration & Communication: Excellent communication skills for working across multidisciplinary teams and influencing technical direction.
Responsibilities
• Technical Leadership: Define the long-term research and development roadmap for planning within the autonomy stack. Identify key challenges in decision-making, trajectory generation, and optimization for real-world logistics operations. • Algorithm Development: Design, analyze, and validate advanced route, behavior, and motion planning algorithms. Push the boundaries of autonomous planning through novel approaches in optimization, learning, and uncertainty modeling. • System Integration: Lead integration of planning algorithms with perception, prediction, localization, and control systems. Anticipate system-level trade-offs and guide architectural decisions for reliable deployment. • Research to deployment: Evaluate academic and industrial research trends, prototype promising ideas, and guide their evolution into production-ready systems. Balance long-term research innovation with near-term deployment needs. • Performance and Robustness Analysis: Establish methods to evaluate planning performance under complex and uncertain real-world conditions. Identify bottlenecks and develop strategies to enhance reliability, safety, and efficiency. • Mentorship and Team Development: Provide technical guidance to researchers and engineers, fostering a culture of innovation, ownership, and delivery. • External Awareness: Stay informed on advances in planning, decision-making, and learning for autonomy. Represent Venti in research discussions, conferences, and technical collaborations where appropriate..
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