Paddy Hobson

Senior Edge Systems Engineer Location – Paris, France. Onsite. We're working with an ambitious technology company that's applying AI to solve complex challenges in healthcare. They're looking for a Senior Edge Systems Engineer to help deliver reliable, high-performance systems that operate across multiple customer sites. The Role You'll take ownership of the software and infrastructure that supports edge devices in the field, ensuring they remain connected, secure, and easy to manage. From diagnosing connectivity issues to improving system performance and scalability, you'll play a key role in keeping critical technology running smoothly outside of the traditional cloud environment. Working alongside engineering and infrastructure teams, you'll help build solutions that support large-scale video and data processing while improving monitoring, automation, and remote support capabilities. What You'll BringCommercial experience with Linux-based systems, edge computing, embedded platforms, or infrastructure engineering.Strong understanding of networking, system diagnostics, and troubleshooting distributed environments.Experience working with video processing, streaming technologies, or high-volume data transfer is highly desirable.Ability to automate workflows using Python, Bash, C++, or similar languages.Familiarity with containerisation, remote device administration, or cloud-connected hardware.A proactive, problem-solving approach and the confidence to work in a fast-moving environment.Bonus ExperienceNVIDIA Jetson or similar edge hardware.Docker, IoT, embedded Linux, or fleet/device management.Exposure to healthcare, medical technology, or other highly regulated industries.If you're excited by the challenge of building dependable edge systems that support innovative AI solutions in real-world environments, we'd love to hear from you.

About the roleWe are supporting a Munich-based deep-tech company building low-power distributed sensing devices.Their devices need to communicate over long distances while remaining power-efficient and robust in challenging environments.They are looking for an RF / Communications Engineer to work alongside their current communications engineer and help take ownership of the wireless networking side of the platform. This role sits between RF, embedded systems and IoT networking.What you’ll doWork on low-power wireless communication for distributed sensing devices.Develop and improve LPWAN / long-range communication systems.Work with sub-GHz communication technologies.Support routing, networking and communication protocols across distributed nodes.Help improve resilience against interference, jamming and spoofing.Work closely with embedded systems and hardware teams.Support system-level testing and debugging of communication performance.Help scale the communications architecture as the device network grows.What they’re looking forExperience with RF communications or wireless embedded systems.Understanding of LPWAN, sub-GHz communication or long-range IoT networks.Knowledge of routing, networking or distributed communication systems.Comfortable working with low-power devices.Ability to work close to hardware and embedded engineering teams.Practical engineering mindset with strong debugging ability.Nice to haveExperience with jamming/spoofing resilience.Experience in defence, aerospace, drones, robotics or industrial IoT.Experience with LoRa, LoRaWAN, mesh networking or proprietary sub-GHz protocols.Experience with field testing wireless communication systems.

About the roleWe are supporting a Munich-based deep-tech company building distributed acoustic sensing systems. Their technology needs to be tested in real-world environments, including field trials, drone tests and controlled chamber testing.They are looking for a Flight Test / Data Engineer who can take ownership of the data side of these tests. This person does not need to come from a flight test background; the most important skill is being able to work with real-world sensor data, process it properly, structure it, score it and identify errors in the data pipeline.What you’ll doSupport acoustic data collection from field tests, drone tests and chamber testing.Work with drone operators and interns to conduct structured test campaigns.Record, process and organise test data.Perform post-processing and quality checks on acoustic sensor data.Score and structure results in databases.Identify, debug and document errors in the data collection and processing flow.Help improve how test data is captured, labelled, stored and used by engineering teams.Work closely with ML, embedded and hardware engineers to make test data usable.What they’re looking forStrong data engineering or data processing experience.Comfortable working with messy, real-world sensor data.Experience with databases and structured data workflows.Strong Python or similar scripting skills.Ability to debug errors across data collection, storage and processing.Practical mindset; happy to be close to real-world testing rather than only working behind a desk.Interest in learning flight testing and drone-based data collection on the job.Nice to haveExperience with acoustic data or signal processing.Experience with drone testing, robotics testing or field testing.Experience in defence, aerospace, robotics, autonomous systems or industrial sensing.Experience supporting ML teams with high-quality labelled/structured data.

About the roleWe are supporting a Munich-based deep-tech company building a distributed sensing and AI platform. Their hardware collects real-world sensor data, which needs to be stored, processed, managed and connected through a robust cloud infrastructure.They are now looking for an internal Cloud Infrastructure Engineer to own their AWS cloud setup from first principles. External partners have helped define proposals and support DevOps execution, but the company now needs someone internally who can own the architecture, strategy and long-term knowledge base.What you’ll doOwn the AWS cloud infrastructure strategy and architecture.Build cloud infrastructure from the ground up.Define scalable, secure and maintainable cloud systems.Work with Terraform or similar infrastructure-as-code tooling.Coordinate external cloud/devops partners and review their work.Take ownership of cloud decisions around EU data sovereignty and infrastructure design.Support ML/data infrastructure for sensor data and AI workflows.Build internal knowledge so cloud ownership does not sit only with external contractors.Decide what should be built internally versus delegated externally.What they’re looking forStrong AWS infrastructure experience.Experience building cloud infrastructure from scratch, not just maintaining a small part of an existing system.Strong Terraform / IaC experience.Good DevOps fundamentals.Comfortable owning architecture, strategy and hands-on implementation.Experience working with external engineering partners or contractors.Ability to think like a builder: practical, hands-on, and comfortable creating structure where little exists yet.Nice to haveML infrastructure or MLOps experience.Experience with sensor data, IoT data or edge-connected devices.Experience with EU sovereignty, security or regulated data environments.Startup or early-stage company experience.

About the roleWe are supporting a Munich-based deep-tech company building distributed sensing systems that combine low-power embedded hardware, acoustic data acquisition, wireless communication and AI at the edge.They are looking for a full-time Electronics Engineer to take ownership of the electronic design work behind their main sensing node. Until now, parts of the electronics work have been handled by a mix of internal engineers, external design partners and contractors. The goal now is to bring this knowledge in-house and have one person own the design, development and ongoing improvement of the hardware platform.What you’ll doOwn electronic design for low-power embedded sensing systems.Create and maintain schematics for new PCB versions.Work on low-noise analogue data acquisition systems.Support PCB design, routing decisions and design reviews.Maintain the internal electronics knowledge base.Work closely with embedded systems, RF/comms and ML teams.Help improve reliability, power consumption and manufacturability of the sensing node.Interface with external electronics partners where required, while gradually bringing knowledge in-house.What they’re looking forExperience designing electronics for embedded, IoT or low-power connected devices.Strong schematic design experience.Good understanding of analogue systems and low-noise data acquisition.Experience with PCB development and iteration cycles.Comfortable working across sensors, batteries, networking and edge hardware.Able to take ownership rather than only contribute to small isolated design tasks.Practical mindset; someone who enjoys building, testing and improving physical products.Nice to haveExperience with acoustic sensing hardware.IPC Class 3 exposure.Experience with battery-powered devices.Experience in defence, robotics, industrial IoT, wearables or connected sensor systems.

AI Team LeadRobotics | Computer Vision | Embodied AIWe're working with one of Europe's most exciting robotics startups, building intelligent robotic systems that are already being deployed into real manufacturing environments.Following significant growth, they're looking for an experienced AI Team Lead to take ownership of a multidisciplinary AI function focused on computer vision, perception and machine learning for real-world robotics.You'll lead a team of around nine AI engineers while remaining close to the technology - reviewing code, making architectural decisions, mentoring engineers, and helping solve complex technical problems when needed. The team is highly technical, so credibility comes from your ability to lead by example as much as your management experience.What you'll be doingLeading, mentoring and developing a growing team of AI engineersDriving technical direction across perception, computer vision and machine learningConducting code reviews and providing technical guidance across the teamHiring, performance managing and coaching engineersWorking closely with robotics and software teams to deliver production-ready AI systemsDefining engineering standards, best practices and development processesSupporting the deployment of AI models onto real robotic hardwareHelping shape the long-term AI roadmap alongside senior engineering leadershipWe're looking for someone who hasPrevious experience leading an AI, Machine Learning or Computer Vision engineering teamA strong background in Computer Vision and deep learningExperience building production ML systems rather than purely research projectsStrong Python and PyTorch experienceExperience working with multimodal data and large-scale datasetsExposure to robotics, embedded systems or hardware-focused AI applicationsConfidence reviewing code and supporting engineers with technical challengesExperience hiring, mentoring and managing performance within engineering teamsBonus points forRobotics or embodied AI experience3D perception or sensor fusionROS2, Docker or KubernetesNVIDIA edge platformsSynthetic data or simulationCloud infrastructure and MLOps toolingWhy join?This is an opportunity to shape the AI capability of a rapidly growing robotics company solving genuinely difficult engineering problems.You'll join a business with real customers, production deployments and ambitious growth plans, working alongside an experienced leadership team with the autonomy to influence both technology and team direction.If you're an experienced technical leader who still enjoys getting into the code and wants to build AI that operates on real robots rather than prototypes, we'd love to hear from you.Interested? Apply now for a confidential discussion to learn more about the company, technology and opportunity.

Principal Embedded Engineer / Embedded Software ArchitectMunich, Germany (Hybrid)€100,000 – €130,000 BenefitsWe are currently supporting an innovative and rapidly growing engineering business in Munich that is looking to hire a Principal Embedded Engineer / Embedded Software Architect to play a key role in shaping the future of their embedded software platform.This is a critical senior-level hire within the organisation and offers the opportunity to take ownership of software architecture while remaining hands-on with implementation and technical delivery.The company is experiencing significant growth and is looking for a strong technical leader who can drive architectural decisions, influence engineering direction, and work closely with multidisciplinary teams to deliver high-performance embedded systems.The RoleAs a Principal Embedded Engineer / Embedded Software Architect, you will be responsible for leading the software architecture across complex embedded platforms while contributing directly to implementation activities.You will work closely with engineering teams to define software strategies, establish architectural standards, monitor system design, and ensure successful delivery across the software lifecycle.This role is ideal for someone who enjoys combining technical leadership with hands-on engineering and wants to have a genuine impact on product and platform development.Key ResponsibilitiesDefine and drive embedded software architecture strategyLead architectural design and implementation activitiesDevelop and monitor system and static software architectureCollaborate closely with cross-functional engineering teamsProvide technical leadership and mentorshipSupport hands-on embedded software development activitiesCommunicate architectural decisions and technical direction across teamsDrive delivery and ensure engineering quality standards are maintainedRequired ExperienceStrong commercial experience with Embedded C/C Experience with PythonMinimum 5 years’ experience in Embedded Software EngineeringMinimum 2 years’ experience in a Technical Leadership or Software Architecture roleStrong understanding of embedded systems architectureProven experience defining and monitoring software architectureExcellent communication and stakeholder management skillsStrong problem-solving and delivery-focused mindsetAbility to operate in a hands-on technical leadership capacityDesirable BackgroundsCandidates from a variety of industries are encouraged to apply, including:Medical DevicesAerospaceSpaceRailIndustrial SystemsHigh-performance embedded environmentsPlease note: AUTOSAR-focused backgrounds are not the primary fit for this position.What’s on OfferOpportunity to join a fast-growing engineering organisationHigh-impact principal-level positionHybrid working model based in MunichLong-term growth and progression opportunitiesCompetitive salary package of €100,000 – €130,000Collaborative and highly technical engineering environmentIf you are an experienced Embedded Software Architect or Principal Embedded Engineer looking for a position where you can combine architecture ownership, technical leadership, and hands-on engineering, please apply for further information.

AI Team LeadRobotics | Computer Vision | Embodied AIWe're working with one of Europe's most exciting robotics startups, building intelligent robotic systems that are already being deployed into real manufacturing environments.Following significant growth, they're looking for an experienced AI Team Lead to take ownership of a multidisciplinary AI function focused on computer vision, perception and machine learning for real-world robotics.You'll lead a team of around nine AI engineers while remaining close to the technology - reviewing code, making architectural decisions, mentoring engineers, and helping solve complex technical problems when needed. The team is highly technical, so credibility comes from your ability to lead by example as much as your management experience.What you'll be doingLeading, mentoring and developing a growing team of AI engineersDriving technical direction across perception, computer vision and machine learningConducting code reviews and providing technical guidance across the teamHiring, performance managing and coaching engineersWorking closely with robotics and software teams to deliver production-ready AI systemsDefining engineering standards, best practices and development processesSupporting the deployment of AI models onto real robotic hardwareHelping shape the long-term AI roadmap alongside senior engineering leadershipWe're looking for someone who hasPrevious experience leading an AI, Machine Learning or Computer Vision engineering teamA strong background in Computer Vision and deep learningExperience building production ML systems rather than purely research projectsStrong Python and PyTorch experienceExperience working with multimodal data and large-scale datasetsExposure to robotics, embedded systems or hardware-focused AI applicationsConfidence reviewing code and supporting engineers with technical challengesExperience hiring, mentoring and managing performance within engineering teamsBonus points forRobotics or embodied AI experience3D perception or sensor fusionROS2, Docker or KubernetesNVIDIA edge platformsSynthetic data or simulationCloud infrastructure and MLOps toolingWhy join?This is an opportunity to shape the AI capability of a rapidly growing robotics company solving genuinely difficult engineering problems.You'll join a business with real customers, production deployments and ambitious growth plans, working alongside an experienced leadership team with the autonomy to influence both technology and team direction.If you're an experienced technical leader who still enjoys getting into the code and wants to build AI that operates on real robots rather than prototypes, we'd love to hear from you.Interested? Apply now for a confidential discussion to learn more about the company, technology and opportunity.