Developer Relations Manager, CSP
NVIDIA
Cloud
Engineering Manager, Computer Vision
Motive
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇵🇰 Pakistan
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudGoogle Cloud Platform
About the role
- 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 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 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 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
Requirements
- 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
- Deep understanding of building and maintaining large-scale ML products, especially those requiring high reliability and performance in the field
- Exceptional leadership skills with demonstrated ability to recruit, hire, coach, and grow engineering talent
- Excellent written and verbal communication skills
- Experience in ADAS (Advanced Driver-Assistance Systems) or Autonomous Driving is a strong plus
- Experience with sensor fusion (e.g., camera, radar, lidar data) [bonus]
- Experience with cloud platforms (AWS, Azure, GCP) for MLOps and model deployment [bonus]
- Familiarity with real-time embedded systems or automotive-grade software development [bonus]
- Applicant must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations; employees must be authorized to receive access to Motive products and technology
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AImachine learningcomputer visionADASsensor fusionMLOpsdeep learningmodel deploymentengineering managementproduct lifecycle management
Soft skills
leadershipcoachingcommunicationcollaborationperformance managementtechnical guidancementoringfeedbackinfluencingcontinuous learning
Certifications
Master’s degree in Computer ScienceMaster’s degree in Electrical EngineeringMaster’s degree in RoboticsPh.D. (preferred)
