At a Glance
- Tasks: Lead a team to optimise AI models for autonomous driving in consumer vehicles.
- Company: Join Wayve, a pioneering company in autonomous vehicle technology.
- Benefits: Competitive pay, onsite chef, private health insurance, and a vibrant work culture.
- Other info: Dynamic environment with hybrid working and a focus on personal growth.
- Why this job: Shape the future of driving with cutting-edge AI technology and make a real impact.
- Qualifications: 5+ years in leadership, expertise in AI and embedded systems, Master's degree required.
The predicted salary is between 80000 - 100000 £ per year.
As the Manager of the Inference Optimization team at Wayve, you will steer our pioneering efforts to refine and productize AI models for autonomous driving features in consumer vehicles. You will lead the strategic direction and provide comprehensive oversight to a team committed to enhancing the efficiency and performance of our autonomous vehicle (AV) AI models.
Challenges you will own:
- Team Leadership and Strategy: Spearhead a multidisciplinary team of Machine Learning Engineers, Embedded Kernel Engineers, and Software Engineers, setting clear objectives and milestones for optimization projects.
- Optimization Framework Development: Oversee the creation and refinement of optimization frameworks that enhance the computational efficiency of AI models while maintaining or improving model accuracy and inference speed.
- Cross‑functional Collaboration: Facilitate seamless cooperation between the machine learning, software engineering, and embedded systems teams.
- Performance Benchmarking: Establish rigorous benchmarking standards for model performance, guiding the team in achieving and surpassing these benchmarks.
- Innovation and Research: Promote a culture of continuous improvement and innovation, encouraging the team to explore novel optimization techniques.
- Resource Allocation: Efficiently manage resources, including personnel and computing infrastructure, to meet project deadlines and performance targets.
- Talent Development: Recruit, mentor, develop, and retain your team, fostering a growth mindset and technical excellence.
What you will bring to Wayve:
- Proven Leadership: At least 5 years of experience in a leadership role within the fields of machine learning, embedded systems, or a related area.
- Expertise in AI and Embedded Systems: A solid understanding of AI model optimization techniques, edge computing, and embedded system design.
- Technical Proficiency: Hands‑on experience with AI model development and optimization tools such as PyTorch, CUDA, and TensorRT.
- Strategic Thinking: Strong ability to develop and execute strategic plans for technology development.
- Collaborative Skills: Excellent interpersonal and communication skills.
- Educational Background: A Master's degree in Computer Science, Electrical Engineering, or a related field is required.
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.
- Competitive compensation and benefits.
- A dynamic and fast‑paced work environment in which you will grow every day.
- A culture that is ego‑free, respectful and welcoming.
- 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 and time spent working from home.
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.
Inference Optimization Manager in London employer: Wayve
Wayve is an exceptional employer that offers a unique opportunity to shape the future of autonomous driving within a dynamic and innovative environment. With a strong focus on employee growth, competitive benefits, and a collaborative culture, you will thrive alongside some of the brightest minds in the industry while enjoying perks like an onsite chef, private health insurance, and a hybrid working policy that values work-life balance. Join us in London, where your contributions will have a significant impact in a mission-driven organisation committed to inclusivity and respect.
StudySmarter Expert Advice🤫
We think this is how you could land Inference Optimization Manager in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to AI model optimisation and embedded systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s work. Understand their products and challenges, especially in autonomous driving. Tailor your responses to show how your experience aligns with their goals and how you can contribute to their success.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our mission-driven team at Wayve.
We think you need these skills to ace Inference Optimization Manager in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and autonomous driving shine through. We want to see how your experiences align with our mission at Wayve, so don’t hold back on sharing your journey in this exciting field!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight the skills and experiences that are most relevant to the Inference Optimization Manager role. We love seeing how you can contribute to our team, so be specific about your achievements in AI model optimisation and embedded systems.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it’s necessary, and focus on what makes you a great candidate for Wayve.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you’re at it!
How to prepare for a job interview at Wayve
✨Know Your Stuff
Make sure you brush up on AI model optimisation techniques, edge computing, and embedded systems. Familiarity with tools like PyTorch, CUDA, and TensorRT will give you a solid edge. Be ready to discuss your hands-on experience and how it relates to the role.
✨Showcase Your Leadership Skills
Since this role involves leading a multidisciplinary team, be prepared to share examples of your leadership experience. Talk about how you've set objectives, managed resources, and fostered collaboration in past roles. Highlight any successes in mentoring or developing talent.
✨Align with Their Vision
Understand Wayve's mission and how they aim to shape the future of autonomous driving. Be ready to discuss how your strategic thinking aligns with their goals. Show that you can contribute to their vision for deploying cutting-edge AI models in AV systems.
✨Prepare for Technical Questions
Expect technical questions that assess your knowledge of AI model performance benchmarking and optimisation frameworks. Brush up on key concepts and be ready to explain how you would approach challenges related to computational efficiency and inference speed.
