Harriet Nolan


Harriet Nolan is a Recruitment Consultant DeepRec.ai's Embedded AI & Robotics team, where she supports clients across the DACH region. Harriet works with AI startups, venture-backed businesses and established enterprises to identify and secure specialist talent in one of the world’s most competitive hiring markets.

Having spent the last four years in recruitment, Harriet has built experience across automation, aviation and sports, with a strong background in contract recruitment. She has helped businesses grow by delivering niche and highly sought-after engineering professionals.

Drawn to the pace and innovation of the AI industry, Harriet joined DeepRec.ai to expand her expertise while supporting organisations shaping the future of intelligent technology.

Outside of work, Harriet enjoys keeping active through the gym, Muay Thai and Hyrox, as well as exploring new restaurants and spending time with friends.

Jobs from Harriet Nolan

Munich, Bayern, Germany
Robotics Platform Lead – AI & Autonomous Systems
Munich | HybridWe are supporting the growth of a European robotics business building intelligent machines for real-world environments.As their engineering organisation grows, they are looking for a senior technical leader who can take a broad view of the technology behind their robotic systems — connecting software, autonomy, machine learning and the underlying compute platform.This could suit someone currently operating as a Principal Engineer, Staff Engineer, Systems Architect, Technical Lead or Engineering Lead who wants greater ownership of an entire robotics platform.The OpportunityThe challenge here isn't simply developing new robotics capabilities. It's making increasingly sophisticated technology work consistently outside of a controlled development environment.You'll help determine how the platform evolves as the business moves towards larger-scale deployment.That could mean working on questions such as:How should the different software and autonomy components interact?Where are the biggest reliability or performance bottlenecks?How do you make deployment and updates safer and more repeatable?How should engineering teams test increasingly complex robotic behaviours?What needs to change as a system moves from a small number of machines to a significantly larger deployed fleet?How do you create engineering foundations that allow AI and robotics teams to iterate quickly without compromising system stability?You'll have significant influence over these decisions while remaining close to the engineering itself.Your BackgroundWe're open to people coming from several areas of advanced engineering.You may have built systems within:Robotics · Autonomous Driving · Drones/UAVs · Industrial Automation · Edge AI · Embedded/Real-Time Systems · Physical AIMore important than the exact industry is experience building software where AI or autonomous decision-making ultimately has to work on a physical system in the real world.We're particularly interested in people who combine:Strong software engineering fundamentalsSystems architecture experienceRobotics or autonomous systems knowledgeExperience deploying software onto edge/embedded hardwareProduction engineering and reliabilityTechnical leadership across multidisciplinary teamsYou should be comfortable moving between high-level technical decisions and detailed engineering discussions.This isn't intended to be a purely managerial position. You'll be expected to understand the technology deeply, challenge technical decisions and contribute directly where your expertise has the greatest impact.What Makes This InterestingYou'll join at a point where many of the fundamental technical decisions around the platform are still being shaped.Rather than owning one isolated component, you'll work across the wider system and help establish how the company's robotics technology is engineered, deployed and scaled over the coming years.It's particularly relevant for someone who enjoys the intersection of robotics, software architecture and AI, and wants ownership beyond an individual subsystem.Location: Munich, GermanyWorking model: HybridFor more information, apply or get in touch for a confidential discussion.
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