As a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automobile’s embedded hardware. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently. Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform.You will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.
Key responsibilities:
Design, develop and maintain embedded software for autonomous vehicle platforms, focusing on sensor integration and hardware abstraction.
Implement and optimize device drivers for various sensors and compute hardware.
Collaborate with cross-functional teams to define software requirements and ensure seamless integration with the autonomous driving application stack.
Debug and troubleshoot software issues, ensuring high reliability and performance.
Participate in code reviews, testing, and documentation to maintain high software quality standards.
Stay up-to-date with industry trends and advancements in embedded systems and autonomous vehicle technology
In order to set you up for success as an Embedded Automotive Platforms Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries
Proficiency in C++ programming language for high-performance systems
Hands-on experience with embedded operating systems (e.g., Linux, QNX, RTOS)
Experience with embedded operating systems (e.g., Linux, QNX, RTOS)
Strong understanding of Middleware architectures and IPC mechanisms
Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues
Familiarity with Hardware Abstraction Layers (HAL) and device driver development
Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras) and their integration with embedded systems
Strong debugging skills and attention to detail in complex systems
Excellent communication and teamwork skills
Ability to work in a fast-paced and dynamic environment
Desirable
Prior experience developing and deploying autonomous vehicle software on commercial automobiles
Experience with NVIDIA Drive Orin platform, Qualcomm 8650/8620 or similar automotive computing platforms
Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)
This is a full-time role based in our office in Herzliya, Israel. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Wayve is building the next generation of autonomous driving technology. They are developing an end-to-end autonomous driving system that uses deep learning and AI to enable vehicles to navigate roads and environments.