Description:

The AI Engineer for Robotics will embed artificial intelligence into robotic systems to create intelligent, adaptive, and autonomous machines.
This role involves developing and implementing AI-driven solutions that push the boundaries of robotics innovation.
The engineer will work closely with software, hardware, and robotics teams to create algorithms for perception, navigation, manipulation, and autonomous behavior.
Key responsibilities include designing and implementing AI models for robotic systems, building perception and computer vision capabilities, and developing algorithms for autonomous navigation and path planning.
The engineer will implement reinforcement learning for adaptive behavior and optimize models for real-time performance on embedded systems.
Collaboration with cross-functional teams on system integration is essential to ensure seamless interaction between AI-driven behaviors and physical components.
The role also involves testing, validating, and fine-tuning AI systems through rigorous testing in simulation and real-world environments.

Requirements:

Candidates must have proficiency in machine learning and deep learning, with extensive experience using frameworks such as TensorFlow, PyTorch, or Keras, particularly for applications in robotics.
Strong knowledge of computer vision techniques, including object detection and segmentation, and experience with OpenCV or similar libraries is required.
Familiarity with reinforcement learning algorithms for training robots to adapt and improve autonomously is necessary.
Proficiency in programming languages Python and C++ is essential for AI development and real-time deployment.
Experience optimizing and deploying AI models on edge devices for real-time robotic applications is required.
A Bachelor’s or Master’s degree in Artificial Intelligence, Robotics, Computer Science, or a related field is necessary, with equivalent experience in AI and robotics considered.
Candidates should have 3+ years of experience in AI or machine learning engineering, focusing on robotics or autonomous systems.
Experience with robotic operating systems such as ROS and simulation environments like Gazebo is beneficial.
Familiarity with sensor data processing and SLAM techniques is a plus.

The position offers comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
Employees receive competitive vacation, sick leave, and 20 paid holidays per year.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs are available for professional development.
Access to wellness programs, including gym memberships, health screenings, and mental health resources, is provided.
Life insurance and short-term/long-term disability coverage are included in the benefits package.
Employees can access confidential counseling and support services through the Employee Assistance Program (EAP).
Financial assistance for continuing education and professional development is available through tuition reimbursement.
Opportunities to participate in community service and volunteer activities are encouraged.
Employee recognition programs celebrate achievements and milestones.