Middle Robotics AI and Simulation Engineer

As a Robotics AI and Simulation Engineer in the SoftServe Robotics Group, you will design and build intelligent robotic systems that operate in both simulated and real-world environments. You’ll work at the intersection of AI, robotics, and simulation technologies, helping global clients—from innovative start-ups to large enterprises—solve complex, real-world challenges across industries such as healthcare, automotive, retail, enterprise, and education.

This role offers a unique opportunity to work hands-on with robots worldwide, contribute to cutting-edge AI research, and transform ideas into production-ready robotic solutions.

Responsibilities

• Work with robots all over the world, both remotely and onsite, during business trips
• Design and develop solutions for various types of robots, including mobile robots, robotic arms, and drones
• Develop AI models based on the latest state-of-the-art
• Work with promptable and foundation models
• Build multiple rapid prototypes and production-ready solutions
• Test AI and robotics solutions in simulation and the real world
• Build reinforcement and imitation learning pipelines
• Integrate robots with cloud services
• Design automated robotic AI systems to increase production and precision within specific industries
• Perform regular research of the latest trends and modern approaches in the robotics AI domain

• 3+ years of professional experience in software development with strong proficiency in C/C++ and Python
• MSc degree in Robotics, Computer Science, Applied Mathematics, or a related technical field
• Hands-on experience developing AI-based robotics perception and/or agentic systems
• Practical experience with robotics simulation and rendering tools such as Isaac Sim, Blender, Bullet, Genesis, or similar platforms
• Solid knowledge of machine learning and robotics frameworks, including TensorFlow, PyTorch, OpenCV, ROS/ROS2, and GPU-accelerated computing
• Experience with computer vision tasks such as object detection, segmentation, tracking, and action planning
• Proven ability to design and implement scalable and maintainable software architectures
• Strong experience working in Linux environments with an understanding of networking, communication protocols, and robot–cloud integration
• Demonstrated experience training Deep Convolutional Neural Networks for real-world applications
• Familiarity with testing strategies, continuous integration pipelines, and MLOps practices
• Strong analytical thinking, attention to detail, and a solid mathematical foundation
• Genuine enthusiasm for technology, continuous learning, and knowledge sharing
• Experience working with open-source codebases, including poorly maintained or partially documented repositories
• Willingness to travel for short- and long-term onsite engagements
• Strong collaboration and communication skills in cross-functional teams
• Upper-intermediate English proficiency, both spoken and written
• Working knowledge of SLAM, localization, mapping, path planning, obstacle avoidance, and motion planning, including trajectory planning for robotic arms (e.g., MoveIt)