Motion Planning Engineer, Teleguidance at Zoox

San Diego, California, United States

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$204,000 – $256,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Robotics & AutomationIndustries

Requirements

Candidates must hold a Master's degree in Computer Science or a related field and have experience writing performance-critical production code in C++. A demonstrated ability to create real-time motion planning algorithms and an understanding of configuration spaces and various planning techniques such as A*, D*, and RRTs is essential. Extensive experience with programming and algorithm design, as well as strong mathematical and geometrical skills, is required. Experience leading small projects or teams is also necessary. Bonus qualifications include a PhD in Computer Science or a related field and experience with autonomous robots or Telerobotics, as well as familiarity with CUDA, Protobuf, or TypeScript.

Responsibilities

The Motion Planning Engineer will write on-vehicle C++ code that integrates guidance from remote operators into the autonomous planner stack. They will collaborate with fellow Planner engineers across vertical teams and represent TeleGuidance on horizontal teams. The role involves designing and implementing new tools and features for remote operators to assist vehicles in navigating complex urban environments, as well as developing a test plan for new features in collaboration with QA. The engineer will have the opportunity to contribute to various parts of the codebase based on their skills and interests, including motion planning, trajectory optimization, GPU code, and offline tooling/simulation.

Skills

C++

Motion Planning

RRTs

Configuration Spaces

Real-time motion planning

C++

Algorithm Design

Mathematical Skills

Geometrical Skills

CUDA

Protobuf

Typ

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.

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