Zoox

Software Engineer - Ride and Fleet Services

Seattle, Washington, United States

$160,000 – $225,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Robotics & Automation, Enterprise SoftwareIndustries

Requirements

Candidates should have a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Operations Research, or a related field. Proven experience in algorithm development with a strong emphasis on operational research methodologies is required. Proficiency in programming languages such as Python, Java, Kotlin, or C++ is essential, along with a solid background in machine learning, AI, operational research, and data analysis. Strong mathematics skills and exceptional problem-solving, analytical, and quantitative skills are necessary. A PhD in a related field and experience with GIS, transportation, logistics, or autonomous vehicles are considered bonus qualifications.

Responsibilities

The Software Engineer will design and build a scalable, efficient, and robust robotaxis dispatch service. They will craft and refine algorithms for real-time dispatch optimization and route planning, applying operational research methods to solve complex dispatch problems. Integration of optimization algorithms into the robotaxi platform and building simulation models to test dispatch optimization algorithms’ effectiveness are key tasks. The engineer will also analyze data, forecast demand, and model transport networks to improve service efficiency.

Skills

Python
Java
Kotlin
C++
Machine Learning
AI
Operational Research
Data Analysis
Linear Programming
Integer Programming
Stochastic Processes
Queuing Theory
GIS
Mapping Software
Transportation
Logistics
Autonomous Vehicles
Fleet Simulation
Data Sets
Scaling

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.

Key Metrics

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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