At a Glance
- Tasks: Lead a team to develop cutting-edge machine learning models for autonomous vehicles.
- Company: Join a leading automotive manufacturer at the forefront of autonomous technology.
- Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and technical excellence.
- Why this job: Make a real impact on the future of driving with advanced perception systems.
- Qualifications: MS or PhD in relevant fields and extensive experience in machine learning and leadership.
The predicted salary is between 70000 - 90000 £ per year.
A leading Automotive and autonomous systems manufacturer are seeking a Technical Lead to lead the evolution and scaling of their perception systems. You will guide a dedicated team in developing and deploying robust machine learning models that enable our vehicles to understand their environment. This role involves cross-functional collaboration, architecting solutions, and driving the technical roadmap to advance our perception technologies.
As a member of the Autonomy organization, you will guide the strategy, architecture, and deployment of machine learning models for our vehicle's perception. These models support autonomous driving features and in-vehicle experiences by enabling environmental understanding. Your work will directly impact the core functionalities of the autonomous systems.
Responsibilities
- Technical Strategy & System Architecture: Define and drive the technical vision, architecture, and scaling roadmap for perception systems, ensuring they meet autonomous driving demands and champion new technologies.
- Perception Model Lifecycle Management: Lead the end-to-end development of scalable ML models for critical perception tasks (object detection, tracking, scene understanding, mapping), including MLOps, data pipelines, and optimization for robust onboard deployment.
- Team Leadership & Mentorship: Build, mentor, and lead a high-performing team of machine learning engineers, fostering a culture of innovation, technical excellence, and continuous improvement.
- Cross-Functional Collaboration & Integration: Partner effectively with teams across the autonomy stack (e.g., prediction, planning, simulation, hardware, ML infrastructure) to deliver seamlessly integrated and high-performing autonomous features.
Qualifications
- MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
- Experience (typically 8+ years post-graduation) in machine learning, computer vision, or robotics, with significant work in perception for autonomous systems.
- Experience (typically 3+ years) in a technical leadership or management role, leading engineering teams on complex projects.
- Technical depth in machine learning, deep learning architectures (e.g., CNNs, Transformers), and computer vision algorithms.
- Experience developing and deploying perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi-sensor fusion) in real-world applications.
- Proficiency in Python and C++.
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and MLOps tools/platforms.
- Communication, interpersonal, and collaboration skills for working in a dynamic, cross-functional environment.
Required Skills
- Technical depth in machine learning, deep learning architectures (e.g., CNNs, Transformers), and computer vision algorithms.
- Proficiency in Python and C++.
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and MLOps tools/platforms.
Preferred Skills
- Experience developing and deploying perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi-sensor fusion) in real-world applications.
- Communication, interpersonal, and collaboration skills for working in a dynamic, cross-functional environment.
Technical Lead in Slough employer: Nicholson Search and Selection
As a leading automotive and autonomous systems manufacturer, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from extensive growth opportunities, mentorship from industry experts, and the chance to work on cutting-edge technologies that shape the future of mobility. Located in a vibrant area, we offer a supportive environment where your contributions directly impact the evolution of autonomous driving solutions.
Contact Details:
Nicholson Search and Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Technical Lead in Slough
✨Dive into Robotics Meetups
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✨Showcase Your Projects
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✨Utilise University Resources
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✨Engage in Online Communities
Join online communities that focus on robotics and automation, such as forums or LinkedIn groups. Engage in conversations, ask questions, and share insights. This not only builds your visibility but could also lead to direct connections at firms like Nicholson Search and Selection, which might have the full-time role you're after.
We think you need these skills to ace Technical Lead in Slough
Some tips for your application 🫡
Showcase Your Technical Skills:In the robotics and automation field, it's crucial to highlight your technical skills on your CV. Include specific programming languages, software platforms, and any relevant robotics experience. Don’t forget to mention any projects or systems you've developed – this info can really make you stand out!
Portfolio Perfection:Having a polished portfolio can speak volumes for a role in robotics. Include any relevant case studies, designs, or prototypes you've worked on. If you've participated in competitions or hackathons, showcase these achievements as well – they show initiative and problem-solving skills!
Tailored Cover Letter Magic:In your cover letter, don’t just tell us that you love robotics—tell us why you’re passionate about automation specifically! Explain how your skills can contribute to Nicholson Search and Selection’s projects and remember to connect your past experiences to what you'll be doing in this role.
Certifications Matter:If you’ve got any relevant certifications, such as in robotic process automation or machine learning, make sure they’re front and centre on your CV. These credentials show you're dedicated to your field and keep you up to date with industry standards – we love to see that!
How to prepare for a job interview at Nicholson Search and Selection
✨Showcase Your Technical Wizardry
For a role in robotics and automation at Nicholson Search and Selection, it's crucial to demonstrate your technical skills. Be prepared to dive into specifics about the programming languages and tools you’ve used, like Python or ROS (Robot Operating System). Brush up on your knowledge of algorithms and control systems, as these might come up during technical questions.
✨Bring Your Projects to Life
With a full-time position in robotics, you should have a portfolio of your projects ready to show. Whether it's a robot you built for a competition or a simple automation script, make sure you can discuss the challenges you faced and how you solved them. This hands-on experience is gold and shows you can apply theoretical knowledge in real-world scenarios.
✨Think Like an Engineer
Expect some problem-solving scenarios during your interview. You might be asked to design a basic automation solution on the spot or troubleshoot a robotic system. Practising these types of technical questions can really set you apart, as they require critical thinking and a systematic approach to tackle problems.
✨Culture Fit Is Key!
Don’t underestimate the importance of cultural fit at Nicholson Search and Selection. They might ask about your teamwork experience and how you handle challenges with peers. Be ready to share examples of working in diverse teams, as collaboration is often central to projects in robotics and automation.
