Engineering AI Team Lead
hace 23 horas
Bradford
Description We are on a mission to redefine the future of mobility through AI. As an AI Engineering Team Lead, you will guide a high-impact team that builds and scales Nexar’s next generation of AI-powered products. You will bridge cutting-edge research with production engineering, ensuring that our systems seamlessly leverage generative AI, multimodal learning, and visual intelligence at scale. You’ll play a critical leadership role — driving technical direction, enabling team excellence, and delivering robust, real-world solutions that make roads and cities safer and smarter. Responsibilities • Technical & Team Leadership:, • Lead and grow a multidisciplinary engineering team focused on developing production-grade AI and computer vision systems., • Translate high-level research advancements into scalable, maintainable engineering solutions used across Nexar’s products., • Own the technical roadmap, architecture decisions, and execution of complex engineering projects., • Ensure engineering best practices across code quality, testing, CI/CD, documentation, and performance., • Cross-Functional Collaboration:, • Partner closely with research, product, and data teams to align engineering priorities with customer needs and long-term company strategy., • Drive integration of novel AI models into production workflows, ensuring reliability, scalability, and robustness., • Coaching & Mentorship:, • Mentor engineers of varying seniority, fostering professional growth and a culture of ownership, innovation, and excellence., • Encourage knowledge sharing, technical learning, and effective problem-solving within the team., • Strategic & Organisational Impact:, • Represent the engineering team in cross-company technical discussions and planning sessions., • Master or PhD in Computer Science or AI related field., • 5-10 years of experience building and deploying production-grade software systems, ideally in AI, computer vision, or large-scale data processing., • 5+ years experience working on Robotics, ADAS or Autonomous Driving., • Up to date experience and understanding of state of the art Physical AI models and approaches. VLMs, World Models and Reinforcement Learning are of particular interest., • Strong proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow., • Solid understanding of algorithms, distributed systems, data modeling, and performance optimization., • Strong technical communicator who can align teams around complex ideas and actionable plans., • Empathetic leader who fosters an environment of trust, collaboration, and high performance., • Proactive, hands-on problem solver with a “get things done” mindset., • The chance to have a meaningful and positive impact on roads and cities’ safety, • Flexibility - in schedule, work location, benefits, • Competitive compensation, • A fast-paced work environment full of kind, smart, and highly driven people, • Great professional and personal growth opportunities