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:

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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

Munich, Bayern, Germany

Senior Robotics Engineer – Teleoperation & Physical AI (Munich / On-site)

Permanent€80000 - €1150000 per annum

We are working with a fast-scaling robotics company developing next-generation “Physical AI” systems - combining real-time control, human-in-the-loop teleoperation, and intelligent robotics to enable high-quality data generation and robot learning in the real world. This is a senior, hands-on engineering role focused on building and scaling teleoperation systems that directly control real robots in complex, real-world environments. The Role You will design and implement high-performance robotics software for teleoperation and telepresence systems, enabling intuitive and reliable human control of robotic platforms. The core challenge is making robot motion feel natural, stable, and physically consistent - requiring strong engineering across control systems, kinematics, and real-time robotics software architecture. You’ll work closely with robotics, hardware, and research teams to build systems that are not just functional in simulation, but robust under real-world physical constraints. Key ResponsibilitiesArchitect and develop teleoperation and telepresence software for robotic systemsBuild scalable robotics software infrastructure for real-time robot control and deploymentDesign and implement control systems for smooth, stable human-in-the-loop robot operationDevelop simulation and testing environments to validate robot behaviour before deploymentOptimise robotics algorithms for latency, stability, and real-world performanceDefine engineering best practices across robotics software developmentCollaborate with hardware and research teams to align system behaviour with physical constraintsContribute to system design decisions across motion control, kinematics, and data collection pipelinesMentor engineers and support technical decision-making within the teamRequirementsStrong professional experience in robotics software engineering (5 years preferred)Excellent C development skills in production robotics systemsSolid applied understanding of robot kinematics, dynamics, and control theoryStrong experience with ROS / ROS2 and robotics middlewareExperience building real-time or embedded robotics systemsAbility to design and debug complex systems involving hardware software integrationStrong software engineering fundamentals (architecture, testing, performance optimisation)Comfortable working hands-on with robots in real-world environmentsNice to HaveExperience with teleoperation, HRI, or human-in-the-loop robotics systemsBackground in simulation environments (Gazebo, Isaac Sim, CoppeliaSim, etc.)Experience with state machines, behaviour design, or autonomy stacksExposure to sensor fusion or perception systemsExperience working in early-stage or fast-moving robotics teamsThe EnvironmentHigh-ownership engineering culture with strong technical autonomyFocus on real-world robotics over purely simulated or theoretical workFast-moving, product-driven environment with strong hardware integrationEngineers are expected to shape both architecture and implementationOn-site collaboration with robots and physical systems required

Paddy Hobson

Posted 17 days ago

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Zug, Switzerland

Chief Executive Officer (CEO) – Industrial Robotics Venture (Confidential Search)

PermanentCHF200000 - CHF400000 per annum

Location: Switzerland (Zug / Zurich region) Scope: Pan-European (DACH, France, Italy, Benelux) Type: Full-time | Equity participation | Board-level appointment Search status: Retained & exclusive mandate Overview We are supporting the formation of a new Switzerland-based robotics venture focused on the deployment and integration of advanced robotics solutions into industrial manufacturing and logistics environments across Europe. The business is backed by a well-established industrial investment group with significant existing exposure to manufacturing and automation-heavy operations. The initial phase will focus on identifying, piloting, and scaling practical robotics applications within real production environments, with a strong emphasis on measurable operational impact. This is a founding CEO appointment with full responsibility for building the organisation from the ground up. The Opportunity The CEO will define and execute the strategy to establish a leading European robotics deployment and integration platform, combining advanced AI-enabled robotics technologies with real industrial use cases. The role requires a balance of commercial leadership, operational execution, and deep credibility within industrial automation environments. This is not a research or pure technology leadership role. The focus is on real-world deployment, customer adoption, systems integration, and building a scalable commercial organisation. Key ResponsibilitiesDefine and execute the go-to-market strategy for robotics deployment across European industrial sectorsBuild and lead the organisation across commercial, technical, and operational functionsEstablish strategic partnerships with robotics technology providers and industrial ecosystem partnersDevelop and scale customer relationships across manufacturing, logistics, and production environmentsLead pilot programmes and transition successful use cases into repeatable commercial offeringsDrive fundraising, investor engagement, and long-term strategic planningRepresent the business at senior industry and customer level across EuropeBuild a high-performance leadership team and organisational structureCandidate Profile Essential Experience15–25 years’ experience in industrial automation, robotics, or capital equipment sectorsSignificant P&L or business unit leadership experience (regional, divisional, or equivalent)Proven track record delivering complex automation or robotics solutions into industrial customersStrong commercial background with responsibility for revenue, key accounts, or large-scale deploymentsExperience operating across European markets (particularly DACH, France, Italy, Benelux)Prior exposure to industrial robotics, automation systems, or systems integration environmentsHighly DesirableBackground with established robotics or automation organisations or integratorsExperience scaling industrial technology businesses or building new business unitsFamiliarity with AI-enabled automation, collaborative robotics, or advanced manufacturing systemsStrong network within industrial manufacturing, logistics, or production environmentsPrevious entrepreneurial or venture-backed experiencePersonal AttributesStrong builder mentality with hands-on leadership approachHigh credibility with industrial and manufacturing stakeholdersComfortable operating in a fast-moving, early-stage environmentStrong commercial instinct and execution focusAble to bridge industrial requirements with emerging robotics technologiesWillingness to be based in Switzerland with regular European travelPackage Competitive base salary aligned with senior Swiss industrial leadership benchmarks, combined with a significant equity participation package reflecting founding executive status. Performance-linked incentives tied to commercial milestones, deployments, and company growth. Process & Timeline This is a retained and exclusive search mandate.Longlisting and confidential outreach: underwayInterview process with investors/founders: Starting from 25th MayTarget appointment: Q4 2026All enquiries will be treated in strict confidence.

Paddy Hobson

Posted 17 days ago

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Remote work, Germany

Senior Machine Learning Engineer – Robotics AI (VLA / Physical Intelligence) - Remote EU

Permanent$100000 - $200000 per annum

We are working with a well-funded deep-tech robotics team building next-generation systems that bridge vision, language, and action in the physical world. The focus is on deploying learning-based models directly onto real robotic hardware, moving beyond simulation-heavy research into production-grade embodied AI. This is a hands-on engineering role for someone who has built and deployed learning systems that interact with the real world - not just trained models in isolation. What you’ll be working onBuilding and deploying Vision-Language-Action (VLA) and robotics foundation models on real robotic platformsDeveloping end-to-end learning pipelines from data collection → training → evaluation → real-world deploymentWorking directly with robotic hardware (manipulation systems / mobile robots depending on project scope)Designing large-scale data pipelines from multimodal robot sensor streams (vision, depth, proprioception, action logs)Running structured experimentation across architectures, datasets, and training strategies for physical AI systemsImproving Sim2Real transfer and closing the gap between model performance in simulation and real-world environmentsOptimising inference and latency for real-time robotic control loopsWhat we’re looking for3 years experience in ML/robotics/computer vision with at least some exposure to real-world robotic systemsHands-on experience with VLA, robotics policy learning, RL, imitation learning, or multimodal transformer modelsExperience working across the robotics stack (e.g. ROS, simulation tools such as Isaac / Gazebo / MuJoCo, sensor integration)Strong track record of data-driven experimentation (not purely intuition-led iteration)Experience building or owning data pipelines for ML systems (collection, filtering, labelling, evaluation)Comfortable working close to hardware and debugging real-world system behaviourStrong Python and deep learning framework experience (PyTorch preferred)Nice to haveExperience deploying models directly onto robots (arms, mobile robots, drones, or similar)Exposure to large-scale training (multi-GPU / distributed training)Experience with Sim2Real transfer or domain randomisationBackground in transformer-based robotics policies or foundation modelsExperience with real-time systems or embedded deployment constraintsWhy this role is interestingYou’ll work directly on embodied AI systems operating in the real world, not just simulation researchHigh autonomy across model design, data strategy, and deploymentOpportunity to shape core robotics intelligence systems from the ground upStrong focus on shipping systems that work outside the labLocation / setup Flexible within Europe. Primarily remote working.

Paddy Hobson

Posted 17 days ago

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Munich, Bayern, Germany

Senior Electronics Engineer — Sensing Systems

Permanent€80000 - €130000 per annum

We’re working with a venture-backed deep-tech company building next-generation distributed sensing systems designed for deployment in challenging real-world environments.They are hiring a Senior Electronics Engineer to help architect and develop ultra-low-noise, low-power hardware platforms operating under extreme performance and deployment constraints.This is a highly technical, hands-on role within a small engineering team composed largely of top-tier semiconductor, sensing, RF, and embedded systems backgrounds.What You’ll Work OnDesign and optimization of precision analog and mixed-signal electronicsLow-noise sensing front-ends and signal conditioning chainsEMI/EMC-aware PCB architecture and layoutHardware bring-up, debugging, characterization, and validationSystem-level integration across electronics, RF, embedded, and mechanical domainsPerformance optimization for power, robustness, and signal integrityTransition of advanced hardware from prototype through productionThe work combines deep electronics engineering with real-world deployment challenges, requiring careful balancing of:signal quality,power consumption,physical constraints,manufacturability,and environmental robustness.Ideal BackgroundWe are particularly interested in engineers from:advanced sensing systems,semiconductor / mixed-signal environments,RF or instrumentation companies,high-performance embedded hardware teams,or technically elite product engineering organizations.Relevant backgrounds may include:analog/mixed-signal electronics,sensor hardware,RF hardware,precision instrumentation,EMC/signal integrity,low-power systems,or embedded sensing platforms.RequirementsStrong experience in analog and mixed-signal electronics designExperience with low-noise hardware and signal integrity considerationsHands-on PCB development and hardware debugging experienceFamiliarity with lab equipment such as oscilloscopes, VNAs, analyzers, etc.Understanding of EMI/EMC-aware design principlesExperience validating and optimizing real hardware systemsStrong engineering fundamentals and systems thinkingNice to HaveExperience with sensing systems or distributed hardware platformsExposure to production hardware and DFM/DFTBackground in RF, instrumentation, MEMS, or embedded sensingExperience in highly constrained hardware environmentsStartup or advanced R&D experienceWhy This Role Is InterestingThis is not a narrow subsystem role inside a large organization.Engineers here work across architecture, validation, optimization, integration, and production hardware, with unusually broad ownership and direct technical influence on the product direction.The environment is deeply engineering-led, highly selective, and focused on solving difficult real-world hardware problems.Competitive compensation, bonus structure, and meaningful equity included.

Paddy Hobson

Posted 17 days ago

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Baden-Württemberg, Baden-Württemberg, Germany

Senior ML Engineer – Autonomous Driving

Permanent€75000 - €100000 per annum

Senior ML Engineer – Autonomous Driving (Mapless, AI-First) A well-funded European deep-tech company is building fully AI-driven, mapless autonomous driving technology in collaboration with leading OEMs and Tier 1 suppliers. We are hiring experienced ML engineers who want to move beyond incremental ADAS and work on large-scale, AI-native autonomy systems deployed directly on vehicles. What You’ll Work OnLearning-based scene understanding from raw multimodal sensor dataOnline road topology & lane connectivity extractionMultimodal transformers / graph neural networks for dynamic traffic modelingEnd-to-end perception → prediction → planning architecturesEnsuring geometric & temporal consistency in real-world drivingDeployment of production-grade ML models to embedded vehicle systemsThis is not simulation-only research. Models are trained at scale and validated directly on real vehicles. What We’re Looking ForStrong ML fundamentals (deep learning, transformers, large-scale training)Solid Python skills; C for production integrationExperience in one or more of:Autonomous drivingRobotics3D computer visionMultimodal learningSensor fusionLearning-based planningPhD is welcome but not required. Real-world deployment experience is highly valued. Why Join?Flat technical structure with real ownershipStrong compute infrastructureClose collaboration with major automotive partnersEquity / stock optionsOpportunity to shape next-generation autonomy from the ground upLocation: Germany (hybrid model available)

Paddy Hobson

Posted 17 days ago

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Remote work, United States

AI Data Lead

Permanent$180000 - $220000 per annum

AI Data Lead $180,000 - $200,000 | New York (Remote) | Full-Time Deeprec.ai is proud to announce our partnership with a leading AI Compliance company. They use a modern tech stack to help companies stay on track with laws and regulations worldwide. This remote AI Data Lead role will enable you to join A forward-thinking engineering culture that embraces AI tools as practical productivity accelerators and innovation enablers. What You’ll Do Own the end-to-end Client & AI Data Vault, from ingestion to AI retrieval. Build and scale vector databases and RAG infrastructure in production. Prototype chunking and embedding strategies using real client data and AI coding tools. Develop parsers for complex documents including PDFs, DOCX, spreadsheets, and scans. Design data models connecting client content to regulatory concepts and gap analysis. Maintain high standards for data quality, performance, testing, and engineering practices. Requirements Production experience with vector databases (e.g. Qdrant, Pinecone, Weaviate, pgvector), including tuning for performance and recall Experience building chunking and embedding pipelines for complex documents Strong SQL and data modelling skills in production systems Experience extracting data from PDFs, DOCX, and scanned documents (incl. OCR/layout-aware parsing) Strong Python plus at least one systems-level language Experience with Azure (preferred) or AWS/GCP, CI/CD, and containers Hands-on experience with RAG or hybrid retrieval systems Effective use of AI coding assistants in development workflows Proven track record of shipping production AI or data systems What will make you great Experience with multi-tenant data architectures and isolation patterns Experience with Elasticsearch, OpenSearch, or similar search engines Background in NLP, information extraction, or document understanding Experience with Kafka or similar messaging systems Experience in regulated industries with strict audit and versioning requirements Contributions to open-source retrieval, embedding, or parsing tools What You’ll Get? Join a small, high-impact AI team where the data layer is a core product enabler, not backend plumbing Direct access to leadership with fast feedback loops and real influence on architecture AI-first culture that treats tools as productivity multipliers Competitive compensation, benefits, and flexible working Opportunity to build the core data foundation of a fast-scaling compliance intelligence platform

Agata Pieczonka

Posted 22 days ago

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