Principal Software Engineer - Autonomy Behaviors at Zoox

Foster City, California, United States

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$375,000 – $475,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Robotics, AIIndustries

Requirements

BS, MS, or PhD degree in computer science or related field
Proven track record of technical leadership in large-scale AI organizations
Significant experience with training and deploying Deep Learning models to production
Fluency in C++ or Fluency in Python with a basic understanding of C++
Extensive experience with programming and algorithm design
Strong mathematics skills
10+ years of experience
Bonus Qualifications
Conference or Journal publications in Machine Learning or Robotics related venues
Prior experience with Prediction and Planning for autonomous vehicles

Responsibilities

Set the technical direction of ML development for the future of our Planner
Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner
Identify and drive force-multipliers for ML development, including metrics, data, and training frameworks
Develop new methods to leverage Zoox’s Foundation Models into the ML Planner
Provide technical mentorship to the broader group of ML developers at Zoox
Collaborate with engineers across Autonomy Software, Simulation, System Design and Mission Assurance, and other departments to solve the overall Autonomous Driving problem in complex urban environments

Skills

Machine Learning

Deep Learning

Imitation Learning

Reinforcement Learning

Python

C++

Foundation Models

ML Training

Algorithm Design

Mathematics

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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