Robotics Salary Guide: Europe Edition

Staff Agentic AI Engineer / AI Engineer $200,000 - $250,000 San Francisco, CA Onsite, 5x per week in office Full time / Permanent Most "agentic AI" roles are still research projects dressed up as products.This one isn't. The agent is live, in production, handling real workflows for Tesla, BMW, Meta, and Amazon. You’ll be in the codebase from day one, improving an agent that's already shipping, not starting from a blank page.This company builds AI-powered automation for mechanical engineers. Think Claude Code, but for CAD, CAE, and PLM workflows. $32M raised, backed by Eric Schmidt and early investors in Anthropic and OpenAI. Over 1,000 customers running production workflows on the platform.They're hiring a Staff Engineer to own the agent intelligence layer, the system that takes an engineer's intent and executes it reliably across complex desktop software. What you'd own:Evals infrastructure and agent benchmarking - defining what "good" looks like for a domain with no established benchmarkAgent harness build-out and ongoing performance improvement (task success rate, token efficiency, workflow coverage)Architecture decisions: tool-calling strategy, state management, context handling, model routing, error recoveryTechnical leadership of a small team of AI engineers - player-coach, not pure manager The profile they're looking for:Proven expertise building agentic systems into production. Systems that take real actions - tool-calling, multi-step state, failure handling, cost constraints. Ideally 2 yearsStrong on evals: task completion, failure mode analysis, regression detectionProduction-first mindset - you'd rather ship 70% coverage reliably than demo a clever system you can't measureBuilders over researchers. Too much academic background is a flag here Desktop automation experience is nice-to-have. Mechanical engineering background is nice-to-have. Experience taking agentic systems into production is the bar.

Machine Learning Engineer – Speech Model Training $250,000 - $300,000 San Francisco, CA Hybrid, 3x per week in office Full time / Permanent In this role you won’t be wrapping APIs or fine-tuning existing models. You’ll be building models across raw acoustic signal processing all the way through to production inference on edge devices. At a company that actually ships to 1.5M live users. A profitable, fast-growing AI company ($250M ARR in under three years, no VC dependency) is standing up a SpeechLLM lab from scratch. This is a founding seat on that team. They build a hardware-software AI companion used daily by over 1.5 million professionals worldwide. The next chapter is a world-class speech intelligence core and they need the engineers to architect it. What you'd own:Design and train large-scale speech models end-to-end. Unified SpeechLLMs, ASR, expressive TTS, generative audioOwn the full stack from acoustic feature engineering to GPU cluster optimisationRun and optimise distributed training at scale via PyTorch or JAX, FSDP, DeepSpeed, etcDrive real-time inference performance with vLLM, TensorRT-LLM, or SGLangApply RL alignment techniques to improve conversational qualityDebug the hard problems in distributed infrastructure and ship solutions You likely have:Proven experience training large-scale audio or speech models from the ground upDeep PyTorch or JAX expertise with real distributed training experienceGenuine comfort traversing the entire ML stack from signal processing to productionA bias toward shipping: you take ownership, you iterate fastStrong bonus: neural audio codecs, diffusion/flow-matching architectures, or LLM pretraining experience. Why joinProfitable company at ~$250M run rate - you'll see the impact of your work immediately in a product used daily by professionals worldwideDirect ownership of the live speech quality stack, not a supporting role in a large orgHybrid San Francisco team with real access to large, diverse, multilingual audio datasetsShort feedback loops - improvements ship fast and metrics are visibleClear path toward senior technical leadership as the audio team grows

As our Account Executive, you will operate at the intersection of quantum technology and high-performance computing (HPC). You will be responsible for identifying new business opportunities and building long-term relationships primarily within the HPC ecosystem, including supercomputing centres, national laboratories, and large-scale research computing organisations. This role is focused on experienced commercial professionals with an established network in HPC environments and a proven track record selling into complex technical computing organisations. ResponsibilitiesIdentify and develop new business opportunities within the HPC ecosystem, including supercomputing centres, national laboratories, universities, and research computing organisationsOwn the full enterprise sales cycle, from prospecting and qualification through to negotiation, closing, and expansion of strategic accountsBuild and manage long-term customer relationships across technical and commercial stakeholders in complex research and HPC environmentsTranslate customer requirements into commercial opportunities, working closely with technical and product teams to align solutions with HPC infrastructure needsDevelop territory and account strategies focused on HPC and advanced computing markets to drive new logo acquisition and revenue growthRepresent the organisation in the HPC ecosystem, including customer meetings, industry events, and research computing engagementsFeed market intelligence back into the business to inform go-to-market strategy, positioning, and product direction Requirements Minimum 5 years of experience in enterprise or account executive sales rolesProven track record of selling into HPC environments, supercomputing centres, or research computing organisationsEstablished network within the HPC ecosystem, including relationships with HPC centres, national labs, universities, or related infrastructure providersStrong experience in complex, consultative, solution-based B2B sales cyclesDemonstrated ability to independently manage and close full sales cyclesHighly desirableExperience working with or selling into HPC infrastructure vendors (compute, storage, networking, or system integrators)Familiarity with HPC architectures, scientific computing workflows, or research computing environmentsExposure to adjacent ecosystems such as AI infrastructure, GPU clusters, or high-density compute environmentsExperience engaging with technical and scientific stakeholders in research or government settings BenefitsOpportunity to work at the intersection of quantum computing and HPC infrastructure, two fast-growing deep-tech domainsDirect engagement with leading HPC centres, research institutions, and advanced computing organisationsHigh-impact commercial role with ownership of territory, pipeline, and strategic accountsExposure to cutting-edge compute technologies and world-class technical teamsStrong autonomy in shaping HPC go-to-market activity and customer engagement strategyCompetitive salary, performance-based bonus, and equity participation

As our Account Executive, you will operate at the intersection of quantum technology and high-performance computing (HPC). You will be responsible for identifying new business opportunities and building long-term relationships primarily within the HPC ecosystem, including supercomputing centres, national laboratories, and large-scale research computing organisations. This role is focused on experienced commercial professionals with an established network in HPC environments and a proven track record selling into complex technical computing organisations. ResponsibilitiesIdentify and develop new business opportunities within the HPC ecosystem, including supercomputing centres, national laboratories, universities, and research computing organisationsOwn the full enterprise sales cycle, from prospecting and qualification through to negotiation, closing, and expansion of strategic accountsBuild and manage long-term customer relationships across technical and commercial stakeholders in complex research and HPC environmentsTranslate customer requirements into commercial opportunities, working closely with technical and product teams to align solutions with HPC infrastructure needsDevelop territory and account strategies focused on HPC and advanced computing markets to drive new logo acquisition and revenue growthRepresent the organisation in the HPC ecosystem, including customer meetings, industry events, and research computing engagementsFeed market intelligence back into the business to inform go-to-market strategy, positioning, and product direction Requirements Minimum 5 years of experience in enterprise or account executive sales rolesProven track record of selling into HPC environments, supercomputing centres, or research computing organisationsEstablished network within the HPC ecosystem, including relationships with HPC centres, national labs, universities, or related infrastructure providersStrong experience in complex, consultative, solution-based B2B sales cyclesDemonstrated ability to independently manage and close full sales cyclesHighly desirableExperience working with or selling into HPC infrastructure vendors (compute, storage, networking, or system integrators)Familiarity with HPC architectures, scientific computing workflows, or research computing environmentsExposure to adjacent ecosystems such as AI infrastructure, GPU clusters, or high-density compute environmentsExperience engaging with technical and scientific stakeholders in research or government settings BenefitsOpportunity to work at the intersection of quantum computing and HPC infrastructure, two fast-growing deep-tech domainsDirect engagement with leading HPC centres, research institutions, and advanced computing organisationsHigh-impact commercial role with ownership of territory, pipeline, and strategic accountsExposure to cutting-edge compute technologies and world-class technical teamsStrong autonomy in shaping HPC go-to-market activity and customer engagement strategyCompetitive salary, performance-based bonus, and equity participation

Location: Frankfurt am Main About the Role We are looking for a highly responsible and hands-on IT Infrastructure & Operations Specialist to manage daily onsite IT operations for our growing ADAS development environment in Europe.This role combines workplace IT operations, infrastructure coordination, and implementation ownership. The ideal candidate is proactive, solution-oriented, able to work independently, and capable of turning operational requirements into practical and efficient solutions.The position requires a strong sense of ownership, fast understanding of new topics, and the ability to coordinate technical implementations in a dynamic environment. ResponsibilitiesManage daily onsite IT operations and workplace IT infrastructureConfigure and prepare laptops, devices, monitors, and accessories for employeesTroubleshoot Microsoft Office, VPN, hardware, software, printer, network issuesMaintain user accounts, permissions, and IT inventoryCoordinate meeting room systems, server room equipment, and workplace IT setupsCoordinate vendors, quotations, deliveries, and implementation activities for IT-related topicsResearch practical IT solutions based on operational requirements and budgetDesign, deploy, and maintain a local network optimized for moving terabytes of sensor data between workstations and local storage.Manage on-premise workstations and cloud instances optimized for deep learning and neural network trainingRequirementsMandatoryExperience in IT support, onsite IT operations, workplace IT environmentsStrong sense of responsibility and ownershipExpert-level Linux administration (Ubuntu/Debian) and shell scriptingDeep knowledge of L2/L3 switching, 10 GbE standards (Cat6a/Fiber), and high-speed storage protocolsHands-on and practical working styleAbility to work independently and learn quicklyGerman language proficiency at minimum C1 levelGood English communication skillsPreferred Driving licenseProficiency in Docker and KubernetesProfessional experience with Azure (Storage Accounts, Azure ML, Container Registry)Background in managing "Big Data" for AI (handling petabytes of video/LiDAR data)Nice to HaveExperience with networking, hardware installation, or server room environmentsExperience coordinating external vendors or service providers

AI Knowledge Graph Lead Remote (USA) up to $220,000 baseWe’re partnering with an AI-driven technology company looking to hire an AI Knowledge Graph/ Ontology Lead to build and scale the knowledge graph layer underpinning a new generation of intelligent enterprise products. This is a senior, hands-on leadership role for someone who has real experience designing and shipping production knowledge graphs, not just conceptual ontology work. You’ll be responsible for shaping a graph and ontology platform that powers: • AI retrieval and RAG workflows • Entity linkage and reasoning systems • Cross-domain and temporal knowledge modeling • Regulatory and compliance intelligence products • Agentic AI applications The role combines architecture, hands-on engineering, and team leadership. You’ll work closely with AI/ML engineers to turn complex, unstructured information into structured, queryable intelligence that directly feeds live AI systems. Key experience includes: • Strong Neo4j and Cypher expertise in production environments • Deep ontology / taxonomy modeling experience • Python engineering skills • Knowledge graph integration with LLMs, RAG, or vector search systems • Experience balancing formal semantics with pragmatic implementation • Ability to lead technically while remaining hands-on Additional experience in areas such as RDF/OWL, inference engines, entity resolution, legal/regulatory data, ESG, healthcare, or pharmaceutical domains would be highly valuable. The company offers: • A highly technical AI environment • Significant ownership and architectural influence • Fast decision-making and direct access to leadership • Strong adoption of AI-assisted development tooling • Flexible working arrangements and competitive compensation Ideal for someone excited by the challenge of building the intelligence layer behind complex AI products at scale. Please apply for more details

Senior/ Staff Frontend Software Engineer   $150,000- $230,000 Equity | Hybrid (3 days/ week in Palo Alto) | Full- Time    Deeprec.ai has partnered up with a rapid developing HealthTech AI startup to expand its Frontend Engineering Team and shape the future of healthcare.  This is an opportunity to join a mission-driven team building innovative AI products that are redefining the healthcare space. Backed by leading investors, the company is looking for engineers who are excited to make a meaningful impact while working on cutting-edge technology.  What You’ll Do Build and enhance the frontend experience of their AI SaaS platform  Write clean, scalable code using modern frontend technologies  Optimise performance, usability, and scalability  Iterate quickly based on user feedback and analytics  Contribute to code reviews and platform architecture  Requirements Bachelor’s degree in computer science, Software Engineering, or related field  Strong experience with HTML5, CSS3, JavaScript (ES6 ), React, and Vite  Experience with Tailwind, Shadcn, responsive design, accessibility, and scalable UI components  Familiar with REST and GraphQL APIs, testing frameworks including Jest and Playwright, and Agile environments  Strong problem-solving, communication, and user-focused design skills  Able to work onsite in Palo Alto 3 days per week  Nice to have  5 years of frontend engineering experience  Experience with D3.js, Chart.js, Webpack, NPM, and GitHub Actions  Familiarity with scalable APIs, microservices, and production SaaS or AI platforms   Why Join  Join a mission-driven team building a category-defining HealthTech AI product  Work alongside a high-calibre team backed by leading investors  Competitive salary, equity, and comprehensive health benefits  Flexible hybrid working and an inclusive, innovation-focused culture

Machine Learning Engineer, LLM Evals & Agent SystemsLondon, HybridClapham Junction, 4 days onsite initiallyWe’re working with an early-stage AI company building production-grade agentic systems and workflow automation products. They are now hiring an AI Engineer to take ownership of their evaluation infrastructure and help shape the future direction of their AI capability.This is not a pure research role or prompt engineering position. The focus is production AI systems, eval frameworks, agent orchestration, and engineering reliability.You will work directly with founders and engineers to evolve their existing V1 eval framework into a scalable, production-ready V2 system integrated into deployment workflows and engineering pipelines.The environment is fast moving, highly technical, and suited to engineers who enjoy ownership, ambiguity, and building systems end to end.What You’ll Work OnDesigning and evolving LLM evaluation frameworks for production systemsBuilding eval infrastructure directly into deployment and engineering pipelinesImproving agent reliability, reasoning quality, and orchestration logicDefining prompting strategies, sub-agent interactions, and reasoning trade-offsMaking architectural decisions around latency, reasoning depth, performance, and reliabilityWorking closely with founders on product and technical directionHelping shape the long-term AI engineering function as the company scales What They’re Looking For2 to 5 years of backend or software engineering experience1 to 2 years of hands-on AI engineering experience in production environmentsExperience deploying LLM applications or agentic systems into productionStrong engineering fundamentals across APIs, backend systems, infrastructure, and architectureExperience designing evals, benchmarking systems, or AI testing workflowsAbility to translate business requirements into measurable evaluation frameworksComfortable discussing production failures, trade-offs, and engineering decisionsStrong ownership mentality and ability to operate in fast-moving environmentsNice To HaveExperience from start-ups or YC-style environmentsExposure to multi-agent systems or orchestration frameworksExperience integrating eval tooling into CI/CD or deployment systemsCustomer-facing or stakeholder-facing exposureSide projects or experimentation around evals, benchmarking, or agent systemsPackage0.5% equity30 days holiday plus bank holidaysHybrid working in Clapham JunctionOpportunity to grow into a future Head of AI position as the company scalesInterview ProcessIntroductory callFounder meetingTechnical architecture and eval discussionScenario-based onsite session