Senior Software Engineer - Localization Data Pipelines at Zoox

Foster City, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

Bachelor's, Master's, or PhD in Computer Science or related field
At least 4 years of industry experience
Fluency in C++ or Python
Experience with robotics systems
Experience with AWS/S3 or similar cloud compute systems
Bonus Qualifications
Experience developing large scale data analysis systems
Experience with localization software and algorithms
Experience deploying and managing containerized applications using Kubernetes, Docker, and ArgoCD

Responsibilities

Improve Localization validation tooling by designing and delivering new validation features and enhancing existing framework
Understand and analyze Localization data to deliver meaningful insights and help drive future feature development and systems analysis focus areas
Leverage advantages of cloud/offline processing (more compute, non-real time, etc.) to curate datasets useful for testing and training components of the Localization system
Help Localization scale as the company builds more vehicles, operates in larger areas, and drives more autonomous miles

Skills

C++

Python

Robotics

AWS

Cloud Computing

Data Pipelines

Localization

Validation Tooling

Datasets

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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