AI/Robotics Engineer

Grid Dynamics; Województwo pomorskie; On-site; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Bleeding-edge projects

Competitive salary

Flexible schedule

Medical insurance

Sports

Team events

Professional development

Well-equipped office

Job summary

Grid Dynamics in Poland seeks an AI/Robotics Engineer to join a fast-paced team focused on intelligent robotic systems and AI-powered automation solutions.

You will collaborate with cross-functional teams to design, develop, and optimize robotic platforms and AI capabilities for real-world applications.

Qualifications

• MS or PhD in Robotics, Mechanical, Electrical, CS, or related field.
• 5+ years of experience in AI, robotics, autonomous systems.
• Proficiency in C++, Python, or MATLAB and robotics frameworks.
• Familiarity with ROS, Gazebo, and Isaac Sim/Omniverse.
• Experience with perception, path planning, and control algorithms.
• Knowledge of sensors, actuators, and embedded hardware.

Responsibilities

• Design, develop, and deploy AI-powered robotics solutions for real-world environments.
• Build software for perception, navigation, motion planning, and autonomous decisions.
• Develop and integrate ML models, CV pipelines, and sensor fusion systems.
• Work with robotics middleware and frameworks such as ROS/ROS2.
• Integrate robotic systems with cloud, edge, and IoT infrastructures.
• Collaborate with hardware engineers and embedded teams for integration.
• Develop simulation environments and testing frameworks for robotics.
• Improve system reliability, scalability, safety, and performance.
• Debug, troubleshoot, and tune robotics systems.
• Participate in architecture reviews and client conversations.
• Stay current with AI, robotics, automation advancements.

Skills

C++

Python

MATLAB

ROS/ROS2

Deep learning

Computer vision

Path planning

Robot perception

Hardware knowledge

Education

MS or PhD in Robotics/ME/EE/CS

Tools

ROS

Gazebo

Isaac Sim/Omniverse

Job description

We are looking for an AI/Robotics Engineer to join a fast-paced innovation-driven team focused on building intelligent robotic systems and AI-powered automation solutions. The ideal candidate combines strong software engineering fundamentals with hands-on experience in robotics, machine learning, computer vision, and autonomous systems.

In this role, you will work closely with cross-functional engineering teams, product stakeholders, and researchers to design, develop, and optimize robotic platforms and AI-driven capabilities for real-world applications.

Responsibilities

• Design, develop, and deploy AI-powered robotics solutions for real-world operational environments.
• Build and optimize software for robotic perception, navigation, motion planning, and autonomous decision-making.
• Develop and integrate machine learning models, computer vision pipelines, and sensor fusion systems.
• Work with robotics middleware and frameworks such as ROS/ROS2.
• Integrate robotic systems with cloud, edge, and IoT infrastructures.
• Collaborate with hardware engineers and embedded teams to ensure seamless integration between software and physical systems.
• Develop simulation environments and testing frameworks for robotics applications.
• Improve system reliability, scalability, safety, and performance.
• Conduct debugging, troubleshooting, and performance tuning of robotics systems.
• Participate in architecture discussions, technical design reviews, and client-facing conversations.
• Stay current with emerging technologies and advancements in AI, robotics, automation, and autonomous systems.

Requirements

• MS or PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field
• 5+ years of experience in AI, robotics, autonomous systems, or related engineering domains.
• Proficiency in programming languages such as C++, Python, or MATLAB, and experience with robotics frameworks and libraries
• Familiarity with robotic simulation tools and platforms, such as ROS (Robot Operating System), Gazebo and Isaac Sim/Omniverse
• Experience with robotic perception and manipulation algorithms, such as path planning and motion control
• Strong understanding of robotic hardware components and subsystems, including sensors, actuators, and control systems
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and computer vision models
• Experience in manufacturing industry and understanding of manufacturing processes such as welding, surface treatment, painting, and polishing is a strong advantage

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.