Zoox is seeking a Sr. System Engineer to join our Vehicle System Integration engineering team. In this key role, you will drive the system requirements, functional architecture, integration, and verification activities for the Body domain to achieve end-to-end system capability. Collaboration with cross-functional teams is essential, as you'll work with vehicle integration, feature integration, firmware, and vehicle component development teams to deliver the overall reliability and performance of our cutting-edge vehicles.
We are looking for an engineer who is passionate about developing a ground-breaking Robotaxi, has a strong system engineering background, has extensive system experience with Body Electronics systems, has system problem-solving skills, and has a commitment to delivering on time.
In this role, you will:
Lead Body Systems and controls for an autonomous robotaxi
Design system technical specifications and Architecture
Develop system design and integration test plans to ensure optimal performance, safety, and efficiency for different systems including Interior and exterior Lighting, Closures, Sensor Cleaning, considering cost, mass, and latency
Collaborate with mechanical, electrical, and firmware teams for system requirements and integration
Ensure subsystems fulfill requirements and interfaces
Participate in tech reviews for supplier evaluation and guarantee V&V tests are captured
Create System FMEAs, diagnostics, and fault reactions for safe operation. Lead issue triage (log/code reviews, HW investigation)
Bachelor’s or Master’s degree in Electrical Engineering or related field
At least 10 years of experience in System engineering, preferably in EVs or automotive systems
Strong system-level understanding of diverse vehicle Systems architectures for Closures, lighting, and related body control functions
Familiarity with power management requirements specific to autonomous vehicles, network architecture, and power electronics in EV platforms.
Strong foundation in sensor and actuator technologies for different body control systems.
Deep knowledge of developing automotive systems using model-based processes.
Deep knowledge of developing electrical systems and subsystems requirements, with proficiency in tools like IBM DOORS, Siemens Polarion, or similar.
Knowledge of automotive electrical architectures, including communication protocols (CAN/LIN/Ethernet) application and defining Physical & Functional interfaces.
Knowledge of Automotive Diagnostics (UDS) routines and the Functional Safety Standard (ISO 26262).
Bonus Qualifications
Experience with ISO26262
Experience in Model Based System Design process
Experience in real time embedded software architecture, e.g., AUTOSAR
Experience in advanced embedded software architecture, e.g., LINUX
Additional Information
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Estas cookies son necesarias para que el sitio web funcione y no se pueden desactivar en nuestros sistemas. Puede configurar su navegador para bloquear estas cookies, pero entonces algunas partes del sitio web podrían no funcionar.
Seguridad
Experiencia de usuario
Cookies orientadas al público objetivo
Estas cookies son instaladas a través de nuestro sitio web por nuestros socios publicitarios. Estas empresas pueden utilizarlas para elaborar un perfil de sus intereses y mostrarle publicidad relevante en otros lugares.
Google Analytics
Anuncios Google
Utilizamos cookies
🍪
Nuestro sitio web utiliza cookies y tecnologías similares para personalizar el contenido, optimizar la experiencia del usuario e indvidualizar y evaluar la publicidad. Al hacer clic en Aceptar o activar una opción en la configuración de cookies, usted acepta esto.
Los mejores empleos remotos por correo electrónico
¡Únete a más de 5.000 personas que reciben alertas semanales con empleos remotos!