We are seeking a visionary Robotics Technical Lead to support the next generation of our intelligent robotics platforms. In this pivotal role, you will bridge the gap between cutting-edge AI research and real-world robotic deployment.

Based in Dresden , one of Europe’s leading high-tech and microelectronics hubs, you will lead a multidisciplinary engineering team responsible for advancing system architecture, perception, control, and edge deployment. You will drive the development and scaling of our core technologies, while fostering a strong engineering culture focused on innovation, collaboration, and technical excellence.

Essential functions

Technical Expertise:

End-to-End System Design: Architect and deploy robust, real-time Physical AI pipelines, integrating multi-sensor fusion, perception, local navigation, and high-level decision-making.
Next-Gen AI Foundations: Spearhead R&D in Vision-Language-Action (VLA) models, Agentic AI, and Reinforcement Learning (RL) to elevate autonomous robot capabilities in dynamic environments.
Edge & Hardware Integration: Design low-latency, high-performance perception and inference stacks optimized for edge platforms (e.g., NVIDIA Jetson / DeepStream) and ROS 2 ecosystems.
Infrastructure & Communication: Oversee resilient robot-to-cloud and robot-to-robot mesh communication architectures for fleet coordination and edge-to-cloud telemetry.
Build & Mentor: Lead, grow, and mentor a high-performing team of robotics engineers
Engineering Standards: Establish modern MLOps, GitOps, CI/CD, hardware-in-the-loop (HIL) testing, and production SDLC practices across all physical AI and backend software workflows.
Cross-Functional Strategy: Collaborate closely with executive leadership and key stakeholders to translate strategic roadmaps into market-ready MVPs and scalable production deployments.

Qualifications

Domain Track Record: 10+ years of hands-on software/AI engineering experience, with significant focus on autonomous robotics, computer vision, and physical AI systems.
Leadership Experience: Proven track record of managing and scaling technical teams in fast-paced startup or high-growth environments.
Core Robotics Stack: Strong mastery of ROS 2, multi-sensor perception (LiDAR, RGB-D, IMU), sensor fusion, and autonomous mobile robot (AMR) navigation stacks.
Modern AI / Deep Learning: Deep technical expertise in deep learning frameworks (PyTorch), Foundation Models, VLA architectures, LLM/Agentic systems, and Reinforcement Learning.
Edge Computing: Demonstrated experience building real-time perception pipelines using the NVIDIA ecosystem (DeepStream, Jetson, Isaac Sim / Isaac ROS).
Full-Lifecycle Deployment: Track record of taking complex AI/Robotics products from early-stage research/PoC to high-reliability production deployment.
Education: Master’s degree or Ph.D. in Robotics, Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.

Would be a plus

Experience with distributed fleet management, mesh networking protocols, or multi-agent systems.
Prior technical background across adjacent AI domains (e.g., FinTech security, Medical Computer Vision, or Enterprise SaaS platforms).
Active contributor to prominent open-source robotics or AI frameworks.

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.

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