At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost.
We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future.
At Sunrise Robotics, this Forward Deployed Engineer role exists to make our robotic systems work reliably in real factories, and to turn each deployment into something we can repeat and scale.
You’ll own end-to-end delivery in live production environments, working directly with customers to get systems running and meeting real production requirements. At the same time, you’ll identify what slows us down or breaks across deployments, and help turn those insights into improvements in our product, tools, and processes.
You are not just someone who installs machines and leaves. You are the bridge between the field and our development team - the person who has seen the full cycle from design through to live production, and who brings that knowledge back to make us better.
Deploy Sunrise robotic systems in live manufacturing environments and deliver successful customer go-lives
Act as the primary technical partner for customers during integration and ramp-up
Own system performance during deployment, ensuring solutions meet defined operational and reliability standards
Troubleshoot deployed systems and resolve technical issues to maintain uptime and reliability
Investigate operational incidents and implement fixes that prevent recurrence
Support pilot launches and early-stage deployments, ensuring systems reach production readiness
Translate real-world production constraints into structured input for product and engineering teams
Identify and eliminate sources of non-recurring engineering in deployments
Improve deployment workflows, tools, and system architecture to enable repeatable delivery
Collaborate with AI, robotics, product, and commercial teams to align customer needs with product evolution
Hands-on experience deploying robotic systems or automated machinery in real industrial environments
Strong understanding of robotics fundamentals and experience working with deep learning models in applied settings
Familiarity with adapting or re-training models for specific production use cases
Working knowledge of simulation environments (e.g., NVIDIA Isaac Sim / Omniverse), synthetic data generation, and structured QA processes
Experience with ROS 2 and Behaviour Tree-based system control
Ability to analyse complex systems and generalise solutions across different deployments
Experience collaborating with multidisciplinary teams across AI, software, mechanical, and electrical engineering
Strong communication skills, with the ability to explain technical concepts clearly to customers and internal teams
Experience working on collaborative robotic applications
Experience with ABB SafeMove
Experience with TIA Portal
Experience with radar-based safety systems
Experience using safety analysis tools
We’re building a new category of intelligent, flexible robotic automation with real deployments, real customers, and momentum across Europe.
High exposure: Work directly with founders and leadership on decisions that shape how we deploy and scale automation
Career acceleration: Gain deep experience across deployment, product, and system design while helping define how modern robotics companies scale delivery
Real impact: Your work will run in live production environments, directly influencing customer outcomes, product direction, and how quickly we can scale across factories