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:

Proficiency in machine learning and deep learning is required, with extensive experience in 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 necessary.
Familiarity with reinforcement learning algorithms for training robots to adapt and improve autonomously is essential.
Proficiency in programming with Python for AI development and C++ for real-time deployment and integration with robotic systems is required.
Experience optimizing and deploying AI models on edge devices, such as NVIDIA Jetson or ARM, for real-time robotic applications is necessary.
A Bachelor’s or Master’s degree in Artificial Intelligence, Robotics, Computer Science, or a related field is required, with equivalent experience in AI and robotics considered.
Relevant certifications or coursework in machine learning, AI, or robotics are advantageous.
A minimum of 3 years of experience in AI or machine learning engineering, focusing on robotics or autonomous systems, is required.
Experience with robotic operating systems such as ROS and simulation environments like Gazebo is beneficial.
Familiarity with sensor data processing, including LIDAR and RGB-D cameras, and SLAM techniques is a plus.

Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums are provided.
Competitive vacation, sick leave, and 20 paid holidays per year are included in the paid time off policy.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs support professional development.
Access to wellness programs, including gym memberships, health screenings, and mental health resources, is available.
Life insurance and short-term/long-term disability coverage are provided as part of life and disability insurance benefits.
Confidential counseling and support services for personal and professional challenges are available through the Employee Assistance Program (EAP).
Financial assistance for continuing education and professional development is offered through tuition reimbursement.
Opportunities to participate in community service and volunteer activities are encouraged for community engagement.
Employee recognition programs celebrate achievements and milestones within the organization.