At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
At Wayve, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The role
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:
- Build software to enable full sensor integration and data capture at scale and quality necessary for a fully autonomous vehicle.
- Deliver and maintain soft-real-time Linux-based applications to a fleet of embedded devices on automobiles. Including data collection and storage as well as machine learning inference on the edge.
- Create robust, fault tolerant software solutions, with comprehensive system diagnostics so we can quickly and efficiently resolve any issues preventing our deployed fleet from operating at maximum capacity.
- Design, implement, and use system monitoring tools to improve performance and resolve both ad-hoc and systemic issues.
Technologies the team is using: the onboard software is run on Nvidia Jetson devices; C++ and Rust being the main languages we use in the most of our codebase. We use many of the industry standard libraries that you'd expect i.e. ROS2 ecosystem.
About you
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 field
- Experience in embedded software development, preferably in the automotive or autonomous driving industry
- Proficiency in the C++ programming language
- Experience with embedded operating systems (e.g., Linux, QNX, RTOS)
- Familiarity with hardware abstraction layers and device driver development
- Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras) and their integration with embedded systems
- Strong problem-solving skills and attention to detail
- 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 or similar automotive computing platforms
- Understanding of safety-critical software development and automotive standards (e.g., ISO 26262)
- Proficiency in the Rust programming language
- Educational Background: A Master’s degree or greater in Computer Science, Electrical Engineering, or a related field
This is a full-time role based in our office in Mountain View. 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. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-AB1
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
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