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.

  • Contribute to long-term technical strategy, leveraging Nexar’s large-scale data ecosystem to deliver transformative mobility intelligence.

REQUIREMENTS

Technical skills & qualifications

• 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.

• Demonstrated experience in leading engineering projects or teams.

People skills & traits

• 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.

• Able to balance short-term execution with long-term engineering excellence and scalability.

WHAT WE OFFER

• 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

• Regular team-building events and well-being initiatives/facilities
  

WHO WE ARE

Nexar is a Vision AI company that is organising the physical world as digital information. We are a global, connected, and intelligent network of mobile cameras on the road that uses data to deliver valuable insights and build transformative products in vehicle autonomy and safety.

Our goal is to be the best car camera service in the world, with a vast network of smart, connected cameras across the planet. We are unlocking the power of connected driving to protect our users and build a lasting business, and this is where you come in!

We’re looking for passionate, forward-thinking people to help us execute this incredible opportunity and drive the future of connected driving technology. Join us in shaping a safer, smarter world.

Department

R&D

Locations

London

Remote status

Hybrid

Employment type

Full-time

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