Lead AI Engineer - Autonomous Systems (Remote)

Placements24; Kempton Park; Remote; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Remote-first culture

Generous leave

Continuous learning

Career progression

Job summary

Placements24 is seeking a Lead AI Engineer specializing in autonomous systems. This fully remote role will drive design, development, and deployment of AI solutions for autonomous vehicles, robotics, and intelligent automation.

You will lead a team, set technical roadmaps, and collaborate across hardware, software, and product groups to ensure safe, scalable AI deployments. You will apply deep knowledge of perception, planning, and control, plus experience with TensorFlow, PyTorch, and ROS.

Qualifications

• Master's or PhD in Computer Science, Robotics, AI, or closely related field.
• 5+ years of experience in AI for autonomous systems (self-driving cars, drones, robotics).
• Deep understanding of AI/ML techniques: deep learning, reinforcement learning, probabilistic robotics, CV.
• Proficiency in C++, Python; experience with TensorFlow, PyTorch, ROS.

Responsibilities

• Lead architecture and development of AI algorithms for autonomous systems (perception, sensor fusion, planning, control).
• Design, implement, test ML models for real-time decision making and adaptive behavior.
• Oversee end-to-end AI lifecycle from prototyping to deployment and validation.
• Mentor a team of AI engineers and researchers.
• Collaborate with hardware, software, and product teams for integration.

Skills

Leadership

Python

C++

Communication

Problem-solving

Education

Master's or PhD in CS/Robotics/AI

Tools

TensorFlow

PyTorch

ROS

Job description

Placements24 is seeking a Lead AI Engineer specializing in autonomous systems. This fully remote role will drive design, development, and deployment of AI solutions for autonomous vehicles, robotics, and intelligent automation.

You will lead a team, set technical roadmaps, and collaborate across hardware, software, and product groups to ensure safe, scalable AI deployments. You will apply deep knowledge of perception, planning, and control, plus experience with TensorFlow, PyTorch, and ROS.