Who we are

Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. 

Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale

Where you will have an impact

As one of our first automotive system architects, you will be responsible for designing the L2/L3 automotive grade system based on our AV2.0 approach. This includes the strategy and the concept of how to embed our fundamentally new autonomy solution in future OEM vehicle infrastructures. You will also engage with our customers and represent our approach and our company in the planning of collaborative projects. 

You will grow with the company and be critical in establishing how we design our system closely with software engineering leads. Our stack includes base software for sensor data processing, neural network execution and diagnostics and robotic functions for vehicle control. 

You will also act as a coach to others towards an automotive grade, requirement based development mindset to help teams deliver automotive grade software. 

Challenges you will own: 

• Design the L2 and L3 system including the integration into an OEM onboard and offboard infrastructure with a focus on software features, architecture and interfaces
• Engage on a deep technical level with our engineering leads to identify the optimal system design, considering safety, vehicle level integration, scalability, and implementation efficiency. 
• Present our system design to customers and partners and negotiate adaptations between partners and Wayve’s engineering leads 
• Lead the process of technical customer requirement review and negotiations during early stages of an OEM engagement as well as during the OEM program
• Own the creation of the technical specification document of the L2/L3 system for both internal usage as well as partnership programs 
• Derive the system requirements and software requirements from customer requirements
• Work closely with the engineering leads and test engineer leads to ensure traceability of our requirements, implementation and tests. 
• Support the team to implement ASPICE and ASIL compliant processes 

You will be essential to Wayve’s mission, deeply enjoy what you do, take immense pride in being a small part of something big, and love pushing the boundaries of what’s possible.

This role will be based in our London King’s Cross HQ, but we are open to discussing hybrid roles for the right candidate.

What you will bring to Wayve

Essential: 

• You have a degree in computer science, engineering or a comparable field 
• You have proven experience (minimum 8 years) in designing and developing ADAS and L2/L3 autonomous systems for automotive applications
• Extensive domain knowledge in autonomous driving software stacks
• You have previously been involved in an automotive series project, demonstrating a comprehensive understanding of the automotive development process, ideally at an OEM or Tier1 or Tier2
• You are familiar with the process of requirements engineering and traceability for automotive grade software and ASPICE
• You are strong in negotiating system requirements and technical specifications across multiple stakeholders including internal and external partners and clients
• You have strong understanding of Classic and Adaptive AutoSAR frameworks
• You have a strong understanding of ISO 26262 functional safety standards and experience in applying safety concepts to automotive system design
• You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it

Desirable: 

• Extensive experience in machine learning technologies, especially as applied to autonomous driving is a plus
• Familiarity with neural network architecture design and optimization for real-time embedded applications is a plus
• Awareness of SOTIF process and its influence in systems design is a plus

What we offer you

• The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.  Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
• Competitive compensation and benefits
• A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too
• A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets 
• 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 also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them.
  
  

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 gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief

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.