Motion Planning Intern at Zoox

Foster City, California, United States

Apply Now

Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program
Must be returning to school to continue your education upon completing this internship
Good academic standing
Able to commit to a 12-week internship beginning in May or June of 2026
At least one previous industry internship, co-op, or project completed in a relevant area
Ability to relocate to the Bay Area, California for the duration of the internship
Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox

Responsibilities

On the Collision Avoidance Systems team: build and optimize core autonomy software including planning algorithms, collision avoidance systems, trajectory generation and validation, or real-time decision-making systems
On the Collision Avoidance Systems team: implement efficient data structures for tree search, develop cost evaluation functions, or work on CAS components like trajectory validators, collision checkers, and safety perception systems
On the Collision Avoidance Systems team: write high-performance C++ code that runs on vehicles
On the Fail Operational Planner team: explore ways for Planner to continue operating effectively in the presence of degraded capabilities or limited failures
On the Fail Operational Planner team: develop behavioral and motion planning capabilities in degraded state to improve trip progress metrics and customer experience
On the Fail Operational Planner team: develop algorithms to implement new behaviors or improve upon the performance of existing ones for specific failure modes while collaborating with Planner, Perception, Prediction, and Hardware teams
On the Framework & Search team: explore ways to improve planner’s strategic decision making capabilities by modeling long horizon concerns (e.g., when best to lane change when following a route)
On the Framework & Search team: develop algorithms to improve the fidelity of long horizon motion planning models
On the Framework & Search team: collaborate with other teams, perform simulation-based and real world validation, and create new introspection tools

Skills

C++

Motion Planning

Collision Avoidance

Trajectory Generation

Planning Algorithms

Tree Search

Data Structures

Behavioral Planning

Real-time Decision-making

Autonomy Software

Zoox

Develops autonomous electric ride-hailing vehicles

About Zoox

Zoox focuses on creating a fully integrated autonomous ride-hailing service designed specifically for urban transportation. Unlike other companies that modify existing vehicles for self-driving capabilities, Zoox has engineered its own vehicle from the ground up, optimizing it for safety, efficiency, and passenger comfort. The vehicle features advanced sensors, cameras, and AI systems that allow it to navigate complex city environments. It can carry up to four passengers in a spacious interior, ensuring a pleasant ride experience. Safety is paramount, with rigorous testing and collaboration with regulatory bodies to meet high standards. Additionally, Zoox's vehicles are fully electric, promoting sustainability by reducing emissions. The company also develops a user-friendly ride-hailing platform that uses data analytics to improve routing and reduce wait times. Zoox aims to enhance urban mobility while prioritizing safety and environmental responsibility.

Menlo Park, CaliforniaHeadquarters

2014Year Founded

$1,206.2MTotal Funding

ACQUISITIONCompany Stage

Automotive & Transportation, Energy, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health Insurance

Maternity & Paternity Leave

Vacation & Paid Time Off

Sick Days

Free Lunch or Snacks

Employee Assitance Program

Risks

Increased competition from Waymo and Cruise may impact Zoox's market share.

Expansion into new cities introduces regulatory and operational challenges for Zoox.

Partnership with Williams Racing may divert focus from core vehicle development.

Differentiation

Zoox designs vehicles specifically for autonomous operation, unlike retrofitting existing cars.

Zoox's vehicles feature a unique, futuristic design with advanced AI systems.

Zoox offers a fully integrated ride-hailing service optimized for safety and efficiency.

Upsides

Zoox's expansion into Austin and Miami opens new markets and data collection opportunities.

Partnership with Williams Racing boosts Zoox's brand visibility in the U.S. market.

Hiring former Tesla executive Gao could accelerate Zoox's technological advancements.

Land your dream remote job 3x faster with AI

Try Jobo Free