Engineering Manager (Scenario Technology)

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 an Engineering Manager for Scenario Technology, you will lead a team in building the technology and workflows to scale Wavye’s simulation scenario gyms, the rich collection of proctored experiences used to evaluate Wayve’s driving intelligence. You’ll use data-driven and AI based approaches to ensure scalability of our solutions. 

• Wayve’s approach to autonomous driving presents unique challenges for simulation. Our end to end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale.
• You’ll be managing a multi disciplinary team and working closely with other leaders from across simulation, robotics, machine learning development, and data to ensure the quality, scalability, and coverage of Wayve’s scenarios, and developing the tooling to get us there. Your team will apply software engineering and machine learning techniques to the problems of scaled scenario generation, coverage assessment, and scaled evaluation of embodied ai system performance. 

Challenges will own

• Help define and drive scenario generation technology roadmap to deliver on company goals and priorities
• Lead technical discussions and guide technical direction where needed
• Set effective KPIs and metrics 
• Build resilient and reliable systems, and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager
• Prioritise effectively, implement and maintain lean and effective team processes
• Communicate effectively with internal stakeholders, and other teams within the organisation to ensure alignment.
• Work closely with team members to develop career plans and growth trajectories.
• Actively foster and promote technical excellence within the team.
• Partner with leadership to maintain a culture of impact, performance, and health.

About You

Essential 

• Proven track record of managing engineering teams.
• Solid understanding of machine learning fundamentals.
• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables.
• Track record of promoting software engineering best practices and excellence within the team.
• Demonstrated ability to manage software engineers and grow their careers.
• Good foundational coding knowledge and experience.

Desirable 

• Experience working with autonomous vehicles 
• Experience working with simulation platforms
• Experience building systems in Python and/or C++
• Experience leading simulation, robotics, NeRF or GenAI development.
• Experience with generative image synthesis 
• Experience with performance evaluation of embodied ai systems.
• Experience leading full stack development

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.