Engineering Manager (Scenario Technology)

As an Engineering Manager at Wayve, your primary responsibilities will revolve around overseeing the technology and workflows that scale the company's simulation scenario gyms. You will lead multidisciplinary teams, manage technical discussions, set effective KPIs, and ensure that the quality and coverage of simulation scenarios meet our high standards. Additionally, you'll focus on team processes and career development for your engineers, all while fostering a culture of impact and performance.

Essential qualifications for the Engineering Manager position at Wayve include a proven track record of managing engineering teams, a solid understanding of machine learning fundamentals, and experience with roadmap planning and stakeholder management. A background in software engineering best practices and a foundational coding knowledge is also crucial. If you have experience in autonomous vehicles or simulation platforms, that will be a significant advantage.

At Wayve, the culture is deeply rooted in diversity, fairness, and respect for individual contributions. As an Engineering Manager, you’ll thrive in an inclusive environment that encourages innovation, continuous learning, and team collaboration. We prioritize mental health and overall well-being, supporting our employees to reach both their personal and professional goals in a rewarding setting.

Wayve combines classical simulation techniques with cutting-edge machine learning advancements to tackle the unique challenges of simulation in autonomous driving. Our goal is to create a simulator that is both highly realistic and descriptive, supporting a more effective evaluation of our driving intelligence capabilities. As an Engineering Manager, you'll guide your team in developing these innovative solutions.

As an Engineering Manager at Wayve, you will have numerous opportunities for career development, including personal growth plans for you and your team members, participation in technical excellence initiatives, and collaboration with leadership to foster high-impact performance. We value your professional growth and encourage you to take on challenges that leverage your strengths and aspirations.

When discussing your management experience, focus on specific instances where you've successfully led a team through challenges, implemented best practices, or fostered an inclusive team culture. Highlight your leadership style, how you set goals, and the methods you used to motivate team members.

To effectively answer this question, describe your method for prioritizing tasks, which could include methods like the Eisenhower Matrix or agile methodologies. Provide examples of how you've successfully managed competing priorities and met deadlines, ensuring alignment with your team's overall goals.

Discuss the practices you implement to promote excellence, such as code reviews, pair programming, and continuous integration. Highlight how you ensure compliance with best practices and the positive impact they've had on your team’s output and performance.

Share a specific technical challenge related to your past work, detailing the approach you took to resolve the issue. Emphasize your problem-solving techniques, collaboration with team members, and the lessons learned that informed future actions.

Talk about the key performance indicators (KPIs) you use to track project success, such as code quality metrics, delivery timelines, and user feedback. Discuss how you gather data, analyze results, and implement changes based on the insights you gain.

Identify tools and platforms that enhance team collaboration, such as project management software, version control systems, and communication tools. Explain how these tools have improved your team's productivity and streamlined workflows.

Outline your strategy for fostering employee growth, such as setting individual development goals, providing mentoring, and encouraging participation in training programs or conferences. Share a success story of a team member who thrived under your guidance.

Explain your understanding of key machine learning concepts and how they've informed your engineering decisions. You can mention specific projects where you integrated machine learning techniques and the tangible results achieved.

Describe any experiences you have with simulation technologies, especially in the context of autonomous systems. Illustrate your familiarity with simulation platforms and how you've contributed to their development or utilization.

Share your insights on the direction of autonomous driving technology, discussing emerging trends and advancements. Mention how you see simulation and AI playing a crucial role in this evolution, and how you aspire to contribute to this vision at Wayve.