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- Tasks: Lead GPU kernel development for autonomous vehicle AI deployment.
- Company: Wayve is a pioneering company in Embodied AI technology, enhancing automated driving systems.
- Benefits: Enjoy a hybrid working policy, flexible hours, and a supportive team culture.
- Why this job: Join us to tackle complex challenges and make a real impact in the future of driving.
- Qualifications: Experience in technical leadership, C++, ML frameworks, and automotive embedded systems required.
- Other info: This full-time role is based in London, with opportunities for skill development.
The predicted salary is between 43200 - 72000 £ per year.
At Wayve, we are committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives. 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.
The role of Tech Lead, ML Edge Deployment involves leading the strategic direction for Wayve’s GPU kernel development. This role occupies a critical junction between machine learning and embedded systems, enabling us to deploy our transformer-based driving models efficiently onto autonomous vehicles. This is an exciting opportunity to lead in several high impact, early stage projects at Wayve with the ultimate goal of enabling product deployments onto millions of customer vehicles around the world.
Key responsibilities:
- Lead a multi-disciplinary team of GPU kernel engineers, breaking down large milestones into objectives which can be delivered by yourself and the team.
- Deliver critical roadmap milestones in enabling efficient inference on multiple target GPUs and accelerators.
- Work closely with members of the ML and Software teams to optimise models for deployment on edge.
- Develop new skills, especially in model optimisation.
About you:
In order to set you up for success as a Tech Lead in ML Edge Deployment at Wayve, we’re looking for the following skills and experience:
- Proven experience as a technical lead or senior engineer on complex engineering projects.
- Proficiency in C++ and ML frameworks such as PyTorch.
- Excellent interpersonal and communication skills.
- Ability to mentor and guide a team of engineers.
- Experience with ML deployment pipelines.
- Experience with embedded SoCs used in automotive environments, e.g. Nvidia, Qualcomm, Renesas, etc.
This is a full-time role based in our office in London. At Wayve, 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.
Tech Lead, ML Edge Deployment London employer: Wayve Technologies Ltd.
Contact Detail:
Wayve Technologies Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Lead, ML Edge Deployment London
✨Tip Number 1
Familiarise yourself with Wayve's mission and values. Understanding their commitment to diversity and innovation will help you align your approach during interviews, showcasing how your personal values resonate with theirs.
✨Tip Number 2
Highlight your experience with GPU kernel development and ML deployment pipelines. Be prepared to discuss specific projects where you've successfully led teams or tackled complex engineering challenges, as this will demonstrate your capability for the Tech Lead role.
✨Tip Number 3
Brush up on your C++ and PyTorch skills. Since these are crucial for the role, consider working on a small project or contributing to an open-source initiative that showcases your proficiency in these areas.
✨Tip Number 4
Prepare to discuss your mentoring style and experiences. As a Tech Lead, you'll be guiding a team, so think of examples where you've successfully supported others in their professional growth, which will highlight your leadership abilities.
We think you need these skills to ace Tech Lead, ML Edge Deployment London
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Tech Lead position at Wayve. Familiarise yourself with their focus on ML Edge Deployment and the specific skills they are looking for.
Tailor Your CV: Customise your CV to highlight relevant experience in technical leadership, C++, and ML frameworks like PyTorch. Emphasise any past projects that align with the role's requirements, especially those involving GPU kernel development or embedded systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI technology and your understanding of Wayve's mission. Mention how your skills and experiences make you a perfect fit for leading a multi-disciplinary team and driving innovation in ML deployment.
Highlight Soft Skills: In addition to technical skills, emphasise your interpersonal and communication abilities. Discuss your experience mentoring teams and how you foster collaboration, as these qualities are crucial for a Tech Lead at Wayve.
How to prepare for a job interview at Wayve Technologies Ltd.
✨Showcase Your Technical Expertise
As a Tech Lead, you'll need to demonstrate your proficiency in C++ and ML frameworks like PyTorch. Be prepared to discuss specific projects where you've applied these skills, especially in complex engineering environments.
✨Emphasise Leadership and Mentoring Skills
Highlight your experience in leading teams and mentoring engineers. Share examples of how you've guided team members through challenges and contributed to their professional growth.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Prepare to discuss how you approach problem-solving, particularly in the context of ML deployment pipelines and embedded systems.
✨Align with Company Values
Wayve values diversity and inclusion, so be sure to express your commitment to these principles. Discuss how you foster an inclusive environment and embrace diverse perspectives in your work.
