Engineering Manager, Computer Vision

Lahore - Pakistan

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Who we are:

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 100000 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.

Visit to learn more.

About the Role:

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 Motives 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 wont just manage; youll 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 Youll 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 Were Looking For:

Masters 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 Motives core values. We are an equal opportunity employer and welcome people of different backgrounds experiences abilities and perspectives.

Please review our Candidate Privacy Noticehere.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations.It is Motives policy to require that employees be authorized to receive access to Motive products and technology.

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Required Experience:

Manager

Who we are: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...