Remote Engineering Manager (Driving Intelligence) in Rotherham

Remote Engineering Manager (Driving Intelligence) in Rotherham

Rotherham Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Wayve

At a Glance

  • Tasks: Lead a team to develop groundbreaking AI for autonomous vehicles.
  • Company: Wayve, a pioneer in Embodied AI technology with a diverse culture.
  • Benefits: Hybrid working, flexible hours, and opportunities for personal growth.
  • Other info: Join a collaborative environment that values diversity and creativity.
  • Why this job: Shape the future of mobility and make a real-world impact.
  • Qualifications: Experience in ML management and a passion for innovation.

The predicted salary is between 80000 - 100000 £ per year.

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. 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. In our fast-paced environment 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.

The role: As an Engineering Manager in Driving Intelligence, your role is on the critical path to the success of the company. You are responsible for guiding the development of our autonomous vehicle capabilities with production-level quality. This includes training, tuning and debugging production models, informing decisions on how to collect and synthesize training data. We're looking for leaders who can foster innovation, drive strategic initiatives, and steer teams towards achieving breakthroughs in driving intelligence. Join us to shape the future of mobility and AI.

  • Grow an already strong team of engineers and model developers.
  • Ensure team members are having a strong impact and are set up for success.
  • Ensure projects are resourced in a way that balances the needs of the business with the needs of the individuals.
  • Bring technical expertise and experience to help accelerate our progress and decision making.
  • Establish solid engineering practices in developing ML models to production-level quality.
  • Challenge the status quo (both technical and organisational/process).
  • Prioritise effectively and keep processes lean and effective.
  • Partner with leadership to maintain a culture of collaboration, impact, innovation, and health.
  • Grow the team as a hiring manager, to bring in complementary, diverse skill sets and backgrounds.
  • Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment.
  • Contribute to day-to-day running of the Software team’s operations and larger collaborative efforts.
  • Assess general team health and look for opportunities to improve processes and best practices.

About you: In order to set you up for success as an Engineering Manager in Driving Intelligence at Wayve, we’re looking for the following skills and experience.

Essential:
  • Prior experience as a manager of ML development teams.
  • Passionate about fostering personal and professional growth in individual team members.
  • Industry experience with embodied AI development with real-world product impact.
  • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables.
  • Prior hands-on ML development experience in an embodied area (e.g., robotics).
  • MS or PhD in Computer Science, Engineering, or similar experience.
Desirable:
  • Experience working in a project-based (“matrix”) operating environment.
  • Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc.
  • Experience developing machine learning solutions for Autonomous Vehicles.

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. 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 operate core working hours so you can determine the schedule that works best for you and your team.

Remote Engineering Manager (Driving Intelligence) in Rotherham employer: Wayve

Wayve is an exceptional employer that champions a diverse and inclusive culture, fostering innovation and collaboration in the rapidly evolving field of AI technology. With a hybrid working policy that promotes flexibility and core working hours tailored to individual needs, employees are empowered to thrive both personally and professionally. Joining Wayve means being part of a forward-thinking team dedicated to shaping the future of mobility, where your contributions truly matter and growth opportunities abound.

Wayve

Contact Details:

Wayve Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Engineering Manager (Driving Intelligence) in Rotherham

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Wayve or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Wayve.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Wayve.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Wayve that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Remote Engineering Manager (Driving Intelligence) in Rotherham

Machine Learning Development
Team Management
Roadmap Planning
Stakeholder Management
Requirements Gathering
Deep Learning
Natural Language Processing

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Wayve.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wayve and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Wayve

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Wayve uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.