VP of AI

DESCRIPTION

We are looking for a VP of AI to lead Nexar’s end-to-end AI strategy and execution, from frontier AI model research to production systems deployed across millions of vehicles and in the cloud. This leader will define and scale Nexar’s AI roadmap across computer vision, multimodal foundation models, and autonomous driving intelligence, while leading and growing a team of world-class researchers and engineers working on some of the largest real-world driving datasets in the world. In addition, this leader will be responsible for translating cutting-edge AI research into scalable, production-ready systems powering driver safety, road understanding, and autonomous mobility.

This role requires a rare combination of deep technical expertise, strategic leadership, and product thinking, bridging research, infrastructure, and real-world deployment.

RESPONSIBILITIES

• Define and lead Nexar’s AI strategy, advancing the company’s capabilities in computer vision, multimodal learning, and frontier AI models for real-world driving environments.

• Drive and accelerate the development of Nexar's BADAS State-of-the-Art AI models, to power ADAS, Autonomous Driving, Risk Assessment, and a lot more, while leveraging the company’s enormous data scale.

• Translate cutting-edge research into production, delivering scalable AI models deployed across Nexar’s platform and edge devices.

• Grow and lead a world-class AI organization, attracting and mentoring top researchers and engineers while fostering a culture of innovation and impact.

• Partner cross-functionally with Product, Engineering, and Data teams to ensure AI advancements translate into meaningful product capabilities.

• Represent Nexar externally as an AI leader, contributing to the broader AI ecosystem and positioning Nexar at the forefront of AI for mobility.

REQUIREMENTS

Technical skills & qualifications

• MS or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field.

• 10+ years experience building and deploying AI-based production systems, ideally in computer vision, multimodal AI, or large-scale data environments, including leadership roles.

• Proven track record leading and scaling AI / ML organizations.

• Deep expertise in areas such as:

  • Computer vision and video understanding

  • Multimodal AI models and visual language models (VLMs)

  • Large-scale deep learning and frontier AI models

  • Distributed training and large-scale ML infrastructure

• Experience in Autonomous Driving, ADAS, Robotics or other Physical AI applications is a must.

• Strong track record of translating advanced AI research into scalable production systems deployed at scale.

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 building the real-world intelligence platform powering the physical AI era. As machines move into the real world—from autonomous vehicles to robotics—they all face the same challenge: they cannot scale or operate safely without access to high-quality, real-world data. Nexar solves this by operating one of the largest naturalistic driving intelligence platforms globally, powered by a live network of hundreds of thousands of cameras and a rapidly growing dataset of safety-critical events.

Our platform transforms this data into actionable intelligence used across multiple industries—from AV and ADAS to fleets, insurance, and public safety. By connecting real-world data supply with cross-industry demand, we enable organizations to better understand, benchmark, and improve how their systems perform in the real world. Every interaction strengthens the platform, making it smarter, more scalable, and increasingly valuable.

We’re building more than a product—we’re building the intelligence layer for the physical world. A platform that compounds with every mile driven, every dataset delivered, and every customer served.