Engineering Manager, Machine Learning, Perception

Engineering Manager, Machine Learning, Perception

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers from Fortune 500 enterprises to small businesses across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

We are looking for an experienced and hands-on Engineering Manager to lead a high-impact team of 6-8 AI engineers and research scientists, directly shaping the future of Motive's road and driver safety perception technology, developing industry-leading ADAS-like features such as forward collision warning, collision detection, unsafe lane changes, distracted driving, etc. Your primary mission will be to transform cutting-edge AI research into robust, production-ready features, driving the development lifecycle from initial concept through to successful in-field deployment and continuous optimization.

You won't just manage; you'll inspire, mentor, and empower. This role demands a leader who thrives on both technical depth and people development. You will be the linchpin ensuring our ADAS-like AI functionalities are not only delivered on schedule but also set new benchmarks for quality, reliability, and performance in real-world conditions. If you are ready to make a significant technical contribution, build an exceptional team, and deliver AI products that redefine user experience and safety, this is the role for you.

What You'll Do:

• Lead, mentor, and inspire a team of 6-8 AI engineers and scientists, fostering a collaborative, focused, and high-performing environment.
• Actively coach and grow individual contributors, providing constructive feedback, managing performance, and supporting their technical improvement and career development.
• Foster a culture of technical excellence, continuous learning, and shared responsibility.
• Take an active and hands-on role in roadmap planning, technical decision-making, and providing expert guidance for the development of AI/ADAS-like features.
• Drive the design, development, and deployment of robust AI models for critical functions like lane keeping, collision warning, and trajectory prediction.
• Oversee the entire product lifecycle from research to in-field deployment, ensuring features meet quality, performance, and reliability standards in production.
• Stay at the forefront of AI, machine learning, computer vision, and ADAS technologies, integrating relevant advancements into our product strategy.
• Develop, enforce, and continuously improve engineering processes and best practices across the team to enhance efficiency and quality.
• Effectively communicate with cross-functional stakeholders (Product, Hardware, etc.), influencing product strategy, technical architecture decisions, and process-related choices.

What We're Looking For:

• Master's degree in Computer Science, Electrical Engineering, Robotics, or a related quantitative field. Ph.D. is a plus.
• 5+ years of hands-on experience in Computer Vision and/or Machine Learning, with a deep understanding of training and deploying Machine/Deep Learning models.
• 2+ years of recent engineering management experience leading an AI/ML focused team of 6+ engineers.
• Proven track record of successfully launching and operating Computer Vision or Machine Learning applications at scale.
• A deep understanding of the process and challenges involved in building and maintaining large-scale ML products, especially those requiring high reliability and performance in the field.
• Exceptional leadership skills with a demonstrated ability to recruit, hire, coach, and grow engineering talent.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
• Experience in ADAS (Advanced Driver-Assistance Systems) or Autonomous Driving is a strong plus.

Bonus Points:

• Experience with sensor fusion (e.g., camera, radar, lidar data).
• Experience with cloud platforms (AWS, Azure, GCP) for MLOps and model deployment.
• Familiarity with real-time embedded systems or automotive-grade software development.

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.