- Company Name
- Zoox
- Job Title
- Motion Planning Intern
- Job Description
-
**Job Title:** Motion Planning Intern
**Role Summary:**
Support development and optimization of autonomous vehicle motion planning software across multiple focus areas (collision avoidance, fail‑operational planning, strategic planner framework). Contribute high‑performance C++ code, algorithm design, simulation validation, and cross‑team collaboration in a 12‑week internship.
**Expectations:**
- Enrolled in a B.S., M.S., Ph.D., or equivalent advanced engineering program; must return to school after internship.
- Minimum 12‑week commitment starting May/June 2026, with ability to relocate to the Bay Area for the duration.
- Prior internship, co‑op, or project experience in robotics, motion planning, or related field.
- Maintain good academic standing and meet eligibility for university‑based research restrictions.
**Key Responsibilities:**
- Implement and optimize motion‑planning algorithms, collision‑avoidance components, and trajectory generation/validation in C++.
- Develop data structures and cost‑evaluation functions for tree search and real‑time decision making.
- Design and test fail‑operational behaviors to sustain planner performance under degraded conditions.
- Enhance long‑horizon planning models, create introspection tools, and conduct simulation and real‑world validation.
- Collaborate with Planner, Perception, Prediction, and Hardware teams; integrate work within ROS, Bazel, or similar frameworks.
**Required Skills:**
- Proficiency in C++ (high‑performance, real‑time code).
- Experience with robotics, motion planning, or control systems concepts.
- Knowledge of optimization algorithms, numerical methods, and trajectory optimization.
- Familiarity with ROS, Bazel, or comparable robotics middleware.
- Understanding of autonomous driving fundamentals (e.g., POMDP, tree search).
- Ability to work on safety‑critical software and performance‑critical systems.
**Required Education & Certifications:**
- Currently pursuing a Bachelor’s, Master’s, or Doctoral degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, or a closely related discipline.
- No specific certifications required; coursework or projects in robotics, planning, or autonomous systems expected.
Foster city, United states
Hybrid
Fresher
26-12-2025