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. Join our world-class team as we tackle today's most complex challenges and 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. Make Wayve the experience that defines your career!
The role
As the Technical Lead of the Embedded Automotive Platforms team, you will be responsible for leading 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 minimize the need for Onboard Applications to be customized for each target platform.
You will play a crucial role in advancing Wayve’s AV technology. Your leadership will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles. You will be accountable for overseeing critical technical programs, ensuring robust platform development, and fostering innovation within your team.
Key responsibilities:
- Technical Program Leadership: Lead key technical programs, ensuring timely delivery by managing requirements, technical risks, development strategy, milestones, and dependencies
- Platform Development: Oversee the creation and maintenance of an efficient, maintainable, and scalable embedded platform, enabling rapid development and deployment of AV applications
- Real-Time System Management: Ensure the effective operation of real-time applications on various platforms, optimizing data collection, storage, and edge machine learning inference
- Fault Tolerance and Diagnostics: Develop fault-tolerant software solutions with comprehensive diagnostics to resolve operational issues swiftly
- Performance Monitoring: Implement advanced system monitoring tools to enhance performance metrics and troubleshoot issues effectively
- Mentorship and Cultural Development: Provide mentorship, guide engineers in skill and career growth, and lead forums such as design reviews and architecture planning to promote engineering
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 Technical Lead, Onboard Software at Wayve, we’re looking for the following skills and experience.
Essential:
- Proven Experience in embedded systems development, including in a technical leadership role, preferably in the automotive industry.
- Expertise in Software Development: Strong background in developing software for embedded systems using high-performance system languages like C++ and/or Rust
- Strategic and Analytical Thinking: Ability to conceive and implement strategic technology projects aligned with both immediate and long-term business objectives
- Leadership and Collaboration Skills: Excellent leadership qualities, capable of leading cross-functional teams and projects. Strong ability to collaborate across divisions and effectively engage stakeholders
- Debugging Skills: Proficient in debugging performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, external device bottlenecks, and threading issues
- Technical Knowledge: Strong understanding of IPC middleware for high data throughput robotic applications, and experience with Linux, QNX, build systems, and user space device drivers
- Educational Background: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience
Desirable:
- Expertise in Embedded Environments: Prior experience developing and deploying autonomous vehicle software on commercial automobiles
- Automotive Software: Knowledge of ASPICE, DriveOS, or AutoSAR
- Performance Tuning: Experience building embedded systems running on the NVIDIA Drive Platform and performance tuning with the QNX operating system
- Educational Background: A Master’s degree or greater in Computer Science, Electrical Engineering, or a related field
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.
This is a full-time role based in our office in London. 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.
For more information visit Careers 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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Wayve
Building artificial intelligence capable of complex driving using end-to-end deep learning for autonomous vehicles.
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