Robotics & Embodied AI

Recruiting the teams behind next-generation robotics and embodied AI platforms

DeepRec.ai partners with leading teams to deliver end-to-end recruitment services across robotics and embodied AI. From humanoid systems to autonomous drones, quadrupeds, and self-driving platforms, we help the innovators pushing embodied intelligence out of simulation and into real-world deployment. 

Talent is scarce and highly specialised. When project success hinges on critical hires in complex environments, teams need a recruitment partner who lives and breathes the deep tech market.

DeepRec.ai's specialised consultants understand the technical nuance, delivery risk, and market dynamics that make hiring in robotics and embodied AI uniquely challenging. 

Whether you're scaling your team or looking for your next career move, our team helps clients and candidates thrive across the full lifecycle of intelligent physical systems: 

Hire exceptional robotics & embodied AI talent: 

Connect with a consultant

Find a rewarding new role: 

Jobs in Robotics & Embedded AI

Why Choose DeepRec.ai as a Talent Partner? 

A Dedicated Robotics & Embodied AI Division

DeepRec.ai operates through specialist divisions, each focused on a specific area of deep tech. This structure enables us to build deeper relationships with candidates and a strong technical fluency that generalist agencies can't replicate. 

Credibility Through Delivery

We work closely with teams developing and deploying today's most complex systems. Our proximity to the bleeding-edge of real-world robotics gives us a strong understanding of evolving role requirements in a technically constrained market. This is underscored by our client net promoter score (NPS) of +100. 

Responsible Recruitment

As part of Trinnovo Group, DeepRec.ai is B Corp certified, a member of a global community of organisations committed to putting people and the planet before profit. For our clients, this translates into ethical and responsible recruitment practices built on trust, accountability, and long-term impact. 

Community-Driven Recruitment

Much of the most in-demand robotics and autonomy talent is not active on traditional hiring channels. Through sustained engagement with the deep tech ecosystem - including events, collaboration, and industry-led initiatives - DeepRec.ai maintains access to engineers and researchers working on cutting-edge embodied systems. Check out our community page here: https://www.deeprec.ai/community

A Long-Term Talent Partner

We don’t take a transactional approach to hiring. Instead, we work as a long-term talent partner, supporting teams as technologies mature, projects evolve, and organisational needs change.

Our delivery model flexes to match the challenge. From executive search for critical leadership hires, to embedded and retained recruitment for high-volume hiring projects or time-sensitive buildouts, through to permanent and contract hiring across highly specialised roles. This allows us to provide continuity, context, and consistency across multiple hiring cycles, rather than resetting the process each time a new role opens.

Our Robotics Division in Action: MOTOR Ai

Find out how DeepRec.ai supported Germany's autonomous vehicle pioneer, MOTOR Ai, to scale their team with 11 critical hires across geospatial segmentation, perception engineering, reinforcement learning, systems architecture, and more: 

Read the full case study

Robotics and Embodied AI Salary Guides

Interested in working or hiring in the USA's Robotics and Embodied AI market? Explore our latest Robotics salary guides, complete with fresh wage data from our thousands of engagements with candidates and clients around the world:

USA Robotics and Embodied AI Salary Guide

 

European Robotics and Embodied AI Salary Guide

Core Technical Domains

DeepRec.ai works with teams operating across the full embodied stack. Our consultants have the means to help you navigate shifting hiring requirements, whether that's system maturity, deployment context, or risk profile. 

Our core technical domains (areas we specialise in recruiting for) include:

Robotics Platforms & Embodiment

We work with organisations developing physical systems that operate in dynamic environments. This includes research-driven humanoid programmes and logistics platforms designed and deployed at scale: 

  • Humanoid robots

  • Service robots

  • Soft robotics

  • Quadrupeds and bipedal robots

  • Mobile manipulation systems

Learning & Control for Robotics

Hiring in this area requires an understanding of how learned behaviours transfer beyond controlled settings. We recruit specialists working on learning-based control for applications such as autonomous navigation, manipulation, and adaptive behaviour, including:

  • Reinforcement Learning (RL)

  • Imitation & Demonstration Learning

  • Sim-to-Real Transfer

  • End-to-end learning

  • Vision-Language-Action (VLA) models for control

  • Policy learning from foundation models

Perception, Vision & Sensor Fusion

Reliable autonomy depends on perception systems that perform under uncertainty. We work with teams hiring for:

  • Object recognition and tracking

  • SLAM (Simultaneous Localisation and Mapping)

  • 3D vision & depth sensing

  • Tactile and proprioceptive sensing

  • Vision-Language Models (VLMs) for robotic perception

Foundation Models & Generative AI for Physical Systems

As foundation models move into physical domains, hiring demands shift accordingly. We recruit across:

  • Vision-Language Models (VLMs)

  • Vision-Language-Action (VLA) models

  • Diffusion models for motion, grasping & trajectory generation

  • Large-scale robot foundation models

  • World models & predictive simulation

Simulation, Data & Digital Twins

For many robotics programmes, simulation is the primary environment for training, testing, and validation. We work with teams building and relying on:

  • Physics-based simulators

  • Synthetic data generation

  • Digital twins

  • Simulation environments for large-scale robot learning

Human-Robot Interaction (HRI) & Collaboration

Systems operating alongside people introduce additional complexity around safety, usability, and trust. We recruit for teams focused on applications such as collaborative manufacturing, assistive robotics, and service environments, including:

  • Collaborative robots (cobots)

  • Gesture, intent & emotion recognition

  • Natural language and multimodal interaction

  • Safety-critical human-in-the-loop systems

Autonomous Systems

We also partner with organisations deploying autonomy at scale, from advanced mobility programmes to industrial automation. This includes teams working on:

  • Self-driving cars

  • Autonomous drones

  • Mobile robots in logistics & industry

Contact DeepRec.ai Directly

Robotics and embodied AI demand a different hiring conversation. The work is interdisciplinary, the timelines are long, and the margin for error is small. We exist to support that reality, bringing context and consistency to one of the most technically demanding talent markets.

Tell us what you're looking for, and we'll connect you with the right consultant as soon as possible: 

Talk to our consultants

MEET THE TEAM

Meet Anthony

Anthony Kelly

Co-Founder & MD EU/UK

Meet Paddy

Paddy Hobson

Team Lead | DACH

Meet Edward

Edward Killin

Principal Recruitment Consultant

Munich, Bayern, Germany
RF / Communications Engineer – LPWAN / Sub-GHz IoT
Permanent€85000 - €140000 per annum
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.
Paddy HobsonPaddy Hobson
Posted 2 days ago
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Munich, Bayern, Germany
Cloud Infrastructure Engineer – AWS / ML Infrastructure
Permanent€80000 - €150000 per annum
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.
Paddy HobsonPaddy Hobson
Posted 2 days ago
VIEW ROLE
Munich, Bayern, Germany
Electronics Engineer – Low-Noise Embedded Systems
Permanent€80000 - €150000 per annum
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.
Paddy HobsonPaddy Hobson
Posted 2 days ago
VIEW ROLE
Remote work, Germany
AI Team Lead
Permanent€80000 - €120000 per annum
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.
Paddy HobsonPaddy Hobson
Posted 9 days ago
VIEW ROLE
München, Bayern, Germany
Principal Embedded Engineer
Permanent€100000 - €130000 per annum
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.
Paddy HobsonPaddy Hobson
Posted 10 days ago
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Remote work, Germany
AI Team Lead
Permanent€80000 - €120000 per annum
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.
Paddy HobsonPaddy Hobson
Posted 11 days ago
VIEW ROLE
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