About the position
As an Engineering Manager for Scenario Technology, you will lead a team in building the technology and workflows to scale Wayve’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.
Responsibilities
- 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
Requirements
- 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
Nice-to-haves
- 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
