Zoox

About Zoox

Revolutionizing transportation with autonomous vehicle technology

🏢 Tech, Automotive👥 1001+ employees📅 Founded 2014📍 Vintage Park, Foster City, CA💰 $1.2b3.9
B2CArtificial IntelligenceCarsTransportElectric VehiclesAutomation

Key Highlights

  • Raised $1.2 billion in Series B funding
  • Headquartered in Foster City, CA with 1001+ employees
  • Innovative vehicle design with independent wheels and no front/back
  • Part of a $2 trillion industry projected by 2030

Zoox, headquartered in Foster City, CA, is pioneering autonomous vehicle technology with a unique driverless ecosystem. The company has raised $1.2 billion in Series B funding and employs over 1,000 people. Its innovative vehicle design, revealed in December 2020, features independent wheels and a b...

🎁 Benefits

Zoox offers work-from-home opportunities, comprehensive health insurance, and generous paid parental leave. Employees enjoy unlimited flexible paid ti...

🌟 Culture

At Zoox, the culture is centered around innovation in autonomous transportation, with a focus on safety and enjoyment. The company promotes a collabor...

Overview

Zoox is seeking a Senior Software Systems Engineer to enhance their GenAI-powered simulator for autonomous vehicles. You'll collaborate with various teams to ensure the simulator's accuracy and effectiveness, utilizing skills in Python and data analysis.

Job Description

Who you are

You have 5+ years of experience in software systems engineering, particularly in simulation and validation processes. Your background includes working with autonomous vehicles, and you understand the complexities involved in ensuring safety and scalability in this domain. You are proficient in Python and have a strong grasp of data analysis techniques, enabling you to evaluate and improve simulation accuracy effectively.

You thrive in collaborative environments, working closely with autonomy, safety, and simulation teams. Your ability to communicate complex technical concepts clearly makes you a valuable team member. You are detail-oriented and committed to driving improvements through rigorous validation design and exploratory data analysis.

Desirable

Experience with GenAI technologies or similar advanced simulation tools is a plus. Familiarity with coding robust pipelines at scale will set you apart. You are passionate about the future of autonomous driving and eager to contribute to innovative solutions that enhance real-world performance.

What you'll do

In this role, you will play a crucial part in ensuring the accuracy and trustworthiness of Zoox's next-generation simulator. You will assess how well the simulator predicts real-world on-road performance, collaborating with cross-functional teams to identify areas for improvement. Your work will involve designing metrics and validation processes that align with the company's safety standards.

You will engage in exploratory data analysis to uncover insights that drive enhancements in the simulator's capabilities. By coding robust pipelines, you will ensure that the simulation environment can handle dynamic agents and realistic sensor data effectively. Your contributions will directly support Zoox's mission to scale autonomous driving across increasingly complex environments.

You will also participate in regular team meetings to discuss progress, share findings, and strategize on future improvements. Your insights will help shape the direction of the simulator's development, ensuring it meets the high standards required for autonomous vehicle safety.

What we offer

At Zoox, you will be part of a pioneering team dedicated to transforming the future of transportation. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a collaborative and innovative environment where your contributions are valued and recognized.

Join us in our mission to create safe and scalable autonomous driving solutions. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be the key to our success.

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