Your Role We are looking for a Quantum Design Engineer to help create and refine superconducting qubit architectures with built-in error resilience. The role focuses on maximizing coherence and fidelity while embedding error mitigation directly into circuit layouts and topology. You will take designs from simulation to fabrication and measurement, collaborating closely with fabrication and measurement teams to ensure theoretical advances translate into functional, scalable quantum devices. What You’ll DoDesign and simulate superconducting qubits and multi-qubit circuits, balancing high coherence with intrinsic error protection.Develop novel architectures that reduce reliance on external error correction through design-level solutions.Benchmark decoherence mechanisms and engineer circuit geometries to minimize loss, crosstalk, and noise sensitivity.Use electromagnetic and circuit simulation tools (e.g., HFSS, Sonnet, COMSOL, Qiskit Metal) alongside custom simulation workflows.Collaborate across disciplines to integrate design with fabrication and measurement protocols.Document and analyse results, using structured feedback loops to drive continuous improvement. Who You AreMSc or PhD in Physics, Electrical Engineering, or a related field.Expertise in superconducting qubits, circuit QED, or microwave quantum devices.Proficiency with electromagnetic and circuit simulation tools (HFSS, Sonnet, COMSOL, Qiskit Metal, or equivalent).Strong understanding of decoherence mechanisms and strategies to mitigate them through design.Experienced in connecting simulation results with experimental validation.Clear communicator and collaborator across design, fabrication, and measurement teams. What We OfferOpportunity to define and shape the architecture of next-generation superconducting quantum processors.Early-stage responsibility with direct influence on prototypes and roadmap.Collaborative, science-driven environment spanning design, fabrication, and experiment.Professional growth opportunities including mentoring, training, and leadership development.Competitive compensation and benefits, including relocation support

SummaryQuantum Algorithm Engineer required to help translate quantum algorithms into practical, hardware-ready implementations. You will develop and optimise quantum circuits, build software tools for quantum computing workflows, and collaborate with research and hardware teams to improve the performance and scalability of quantum systems. This role is ideal for a software-focused quantum researcher or engineer who enjoys working at the intersection of quantum algorithms, scientific computing, and emerging hardware technologies. ResponsibilitiesDesign, implement, and optimise quantum circuits for execution on target quantum hardware architecturesDevelop software tools and frameworks for quantum circuit compilation, transpilation, optimisation, and deploymentProfile and benchmark quantum circuit performance to identify bottlenecks and improvement opportunitiesWork closely with research and hardware teams to translate algorithmic concepts into practical implementationsBuild and maintain internal quantum software infrastructure and toolingImprove workflows for scalable quantum computing development and experimentationContribute to the advancement of quantum software capabilities through robust, maintainable code RequirementsPHD  in Physics, Computer Science, Mathematics, Engineering, or a related technical disciplineStrong software engineering skills, particularly in scientific computing environments (Python, C++, or similar)Hands-on experience with quantum circuit design and quantum software frameworks such as:QiskitPennyLaneCirqSimilar quantum programming platformsUnderstanding of:Quantum gates and circuit architecturesQuantum circuit compilation and optimisationHardware constraints affecting quantum executionAbility to write reliable, maintainable, and well-structured softwareStrong analytical and problem-solving skillsExcellent written and verbal communication skillsAbility to collaborate effectively across research and engineering teamsPreferred ExperienceKnowledge of quantum error correction and fault-tolerant quantum computingExperience with:Noise modellingError mitigation techniquesHardware-aware compilationQuantum circuit synthesisFamiliarity with classical high-performance computing (HPC), distributed computing, or quantum simulationContributions to open-source quantum software projectsExperience working in research-driven or deep-tech environments BenefitsCompetitive salary package with meaningful equity participationVisa sponsorship support where applicableCompany-sponsored health coverageFlexible time off policyCollaborative, research-driven working environmentOpportunity to work on foundational technologies at the intersection of quantum computing and advanced software engineeringExposure to cutting-edge quantum research and hardware development challengesOpportunity to make significant technical contributions within a growing team

SummaryA fast-growing deep-tech company is looking for a Senior Optical Design Engineer to take ownership of advanced imaging and illumination systems. You’ll design optical systems from first principles and take them through simulation, tolerancing, prototyping, validation and production. This is a hands-on role with significant technical ownership, working across optics, hardware, mechanical engineering and product development. ResponsibilitiesOwn the design and development of complex imaging and illumination systems from concept through production.Design and optimise optical systems using Zemax OpticStudio, including sequential and non-sequential modelling.Develop custom optical solutions balancing performance, manufacturability and cost.Perform optical tolerancing, error budgets, radiometry, etendue, beam shaping and power budgeting.Analyse imaging performance, illumination uniformity, stray light and optical artefacts.Build, align and characterise optical prototypes and develop test methods.Work with suppliers and manufacturing partners through prototype and production transfer.Use Python or similar tools to analyse measurement data.Collaborate with multidisciplinary engineering teams and help shape scalable optical design processes. Requirements5+ years' experience designing real optical systems professionally.Strong background in optics, photonics, physics or a related field.Strong Zemax OpticStudio experience, ideally across sequential and non-sequential design.Solid understanding of radiometry, etendue, aberrations, MTF and tolerancing.Hands-on experience with optical alignment, metrology and laboratory characterisation.Experience using Python or similar for modelling or data analysis.Strong problem-solving, communication and technical documentation skills.Fluent English.Desirable: Experience with high-power illumination/laser safety, advanced sensing, semiconductor inspection, optical metrology or failure analysis. Experience with Quantum Sensing and NV centres would also be valuable.  BenefitsHigh-impact work on advanced deep-tech products with real-world applications.Significant technical ownership and opportunities for career growth.30 days' holiday plus public holidays.Wellpass membership for fitness and wellness facilities across Germany.Annual learning and development budget.Equity participation.Collaborative international team with regular team events and off-sites

Data Scientist – 6 Month ContractLocation: Berlin, GermanyWorking pattern: Hybrid – 2 days per week in the officeStart date: November 2026Contract: 6 monthsRate: €80–€100 per hourInitial engagement: 4–5 months with potential to extendWe’re working with a growing European FinTech business looking for an experienced Data Scientist to join their team on a 6-month contract.This is a hands-on role focused on using data science, predictive modelling and simulation to solve complex commercial and financial problems.The RoleYou’ll be responsible for taking data-driven projects from initial analysis through to modelling, deployment and communicating the results to stakeholders.Key responsibilities include:Analyse structured and unstructured data to identify insights and opportunitiesTranslate business challenges into analytical hypotheses and data science solutionsDesign, train, deploy and monitor predictive modelsDevelop data-driven business cases and commercial modelsBuild and run simulation scenarios to assess revenue and business impactWork with stakeholders to understand business requirements and turn them into practical analytical solutionsCarry out ad-hoc analysis to answer complex business questionsCommunicate findings clearly to both technical and non-technical stakeholdersContribute to the end-to-end data science lifecycle, from data exploration through to deploymentWhat We're Looking ForStrong commercial Data Science experienceExcellent Python and SQL skillsStrong experience developing predictive modelsExperience working with both structured and unstructured dataStrong analytical and problem-solving abilityExperience with simulation, scenario modelling or revenue/pricing modelsAbility to translate business requirements into analytical solutionsStrong communication skills with the ability to explain complex concepts clearlyExperience working within financial services, FinTech, trading or financial marketsUnderstanding of financial products such as options, futures, equities or FX is highly beneficial

Machine Learning Researcher, Audio $250,000 – 300,000+, Equity + Bonus Remote (US & Europe) / San Francisco, CA (Hybrid preferred) Full-time / PermanentDeepRec has partnered with a fast-growing, revenue-generating voice AI company empowering enterprises to build AI phone agents at scale. Recent Series C funding with backing from leading Silicon Valley investors, they are building the models and infrastructure that make voice the primary interface between businesses and their customers.This company has built all of their current models completely in-house, and every model ships to real, paying customers almost immediately. No speculative research track here. If you want your work to hit production within weeks, not years, this is that role. The OpportunityThe research team are working toward a single, ambitious goal: a fully speech-to-speech conversational AI model that understands and responds like a human, in real time. You'll work across the core building blocks of that roadmap, such as: speech-to-text, text-to-speech, neural audio codecs, and getting LLMs to understand and reason over audio directly.You'll take ideas from theory through large-scale training to production inference serving millions of calls a day, working closely with engineering and product teams to get your research into real customer environments fast. What You'll DoBuild TTS models that sound natural, expressive, and humanBuild STT systems that stay accurate with accents, background noise, and messy phone linesWork on neural audio codecs, compressing audio efficiently without losing qualityExplore LLM-Audio UnderstandingPrepare and manage large audio datasets, and design how models are trained on themRun training across many GPUs at once, keeping an eye on cost and speedRun fast, well-designed experiments to test what actually worksMake sure models run fast and reliably in production, not just in benchmarksWhat You'll Bring EssentialA genuine, self-driven interest in this area of research, shown through your own projects or papers, not just what a past employer asked you to doHands-on experience building or improving TTS, ASR, speech-to-speech, or neural audio codec systemsA track record of original, hands-on technical work, rather than off-the-shelf tools or common tutorial-style projectsStrong Python skills and experience training or running large modelsComfortable working autonomously DesirableExperience getting LLMs to understand or reason about audio - the team's top priority right nowExperience with model distillationExperience fine-tuning or training language or speech models with reinforcement learningPublished research or open-source work in speech or language AIBackground working with real-time speech systems or phone-based systemsA PhD is welcome but not required. Strong, independent work matters more than qualificationsWe encourage you to apply even if you don't meet every requirement. The right mindset and genuine curiosity matter as much as the resume. What's In It For YouGround-floor seat in a lean and growing research team with real scope to shape it as it scalesEvery research output ships to real customers, no long speculative research projectsHigh autonomy to shape your own research direction, tooling, and (for senior hires) the team itselfWork across ASR, TTS, neural codecs, and the frontier of LLM-audio understanding & speech-to-speech modellingWell-capitalised, fast-moving environment without big-lab bureaucracyHealthcare, dental, vision, meaningful equity, and every tool you need to succeedRemote-friendly across the US

AI Strategy & Executive Advisor – Ticketing & EventsContract: 2–3 monthsLocation: Remote – must be based in EuropeEngagement: ContractWe’re looking for an experienced AI Executive / Strategy Leader to support a business within the ticketing and live events sector on a short-term strategic project.The role will work closely with senior leadership to identify where AI can create meaningful commercial and operational value, and help shape a practical strategy for adoption.The roleWork with senior leadership to assess current AI capabilities and opportunitiesDevelop an AI strategy aligned to commercial and operational prioritiesIdentify high-value AI use cases across ticketing, events, customer experience and internal operationsAdvise on emerging AI technologies and where the business should be investingPrioritise opportunities based on business value, feasibility and potential ROIHelp define an AI roadmap and approach to implementationBring relevant industry insight from ticketing, live events, entertainment or adjacent sectorsExperience neededSenior-level experience in AI strategy, AI transformation, AI leadership or executive advisoryStrong understanding of applying AI commercially within large-scale businessesDeep industry knowledge of ticketing, live events, entertainment or a closely related sectorExperience working directly with C-suite / executive stakeholdersExperience developing AI strategies, roadmaps or transformation programmesStrong understanding of current AI/GenAI developments and their practical business applicationsAble to translate complex AI capabilities into clear commercial opportunities and recommendationsThis is not a hands-on engineering role. We’re looking for someone who can operate credibly at executive level, understands the ticketing/events ecosystem and can provide strategic direction around AI.Applicants must be currently based in Europe.

Research Scientist – Embodied AI | London (Hybrid)upto £200,000 DeepRec.ai is partnering exclusively with a well-funded spatial AI company building a foundation model of the physical world, the layer robots and AI agents need to understand real places, not just pixels. Their London research lab is hiring a Research Scientist into a dedicated Embodied AI group. The focus is closing the sim-to-real gap: turning real-world captures into accurate, simulation-ready environments that robots can be trained and evaluated in. What you'll work onInventing new algorithms at the overlap of computer vision, machine learning, graphics and roboticsAdvancing a large-scale geospatial model for embodied AI use cases3D reconstruction, scene understanding and spatial reasoning for robots and other machinesTaking research from paper to working systems used by real robotics teamsPublishing at top venues alongside a strong, research-led teamWhat they're looking forPhD (or equivalent) in Computer Vision, ML or RoboticsFirst-author publications at CVPR, ICCV, ECCV, NeurIPS, ICLR or similarStrong grounding in 3D vision: SLAM, SfM, neural rendering, Gaussian splatting or similarExcellent research code in PyTorch or JAXBonus: robotics simulation (Isaac Sim, MuJoCo), sim-to-real, VLMs or policy learningWhy it's interestingRare chance to work on embodied AI with real-world data at global scaleResearch-first culture with strong academic linksSmall, senior team where your work ships

safety engineer (m/w/d) Berlin Full-time Permanent employee 90,000 - 100,000 € per year Apply for this job why this role matters Functional safety is what turns coera from a promising product into industry infrastructure. You will own coera's safety case end to end, at component, product, and cell level, in support of customer applications. First CE marking under EU Machinery Regulation 2023/1230 with the notified body is yours to deliver. The certification story we tell in two years starts with the choices you make in month one. what you will ownOwn coera's safety case end to end, at component, product, and cell level, in support of customer applications.Run FMEDA, FTA, HAZOP, and STPA across every coera deployment.Deliver the first CE marking under EU Machinery Regulation 2023/1230 with the notified body.Design coera's safety argumentation: safety goals, functional and technical safety requirements, and the traceability that holds it together.Be the technical authority in safety conversations with customers, integrators, and regulators.what we look for Must haveAt least six years in functional safety engineering, including at least one shipped SIL2 / PLd program. Deep working fluency in IEC 61508 (SIL determination, lifecycle) and ISO 13849 (PLd, Categories, DC, MTTFD, CCF).Working knowledge of IEC 62998, EU Machinery Regulation 2023/1230 conformity assessment, and relevant robotics norms.One of: Certified Safety Machinery Engineer (CSME), TÜV SÜD Functional Safety Certified Professional (FSCP), TÜV Rheinland FS Engineer, or exida CFSE.Hands-on fluency with at least two of: Sistema, Ansys medini analyze, ISOGraph, Polarion, DOORS, LDRA, Vector.Strong signalsStandards working-group contribution: ISO TC 299, IEC TC 44, ISO/IEC JTC 1/SC 42, or UL 4600.Published safety case using claims-arguments-evidence (CAE) or Goal Structuring Notation (GSN).Bridged ISO 26262 (ASIL) and IEC 61508 / ISO 13849 (SIL / PLd) in the same architecture.Shipped a perception-based safety function at SIL2 or PLd.SOTIF (ISO 21448) and ISO/PAS 8800 (AI safety) operational experience.BonusDirect prior work with a notified or certification body.German or Farsi in addition to English.what we offer A core-team role with real ownership over what we build and how. Direct line to deployments with leading robotics partners from day one. Post-thesis, pre-scale: the window where the work you do actually compounds. All coera employees participate in the company's long-term success through our employee participation program (ESOP). The specific terms of your participation are agreed individually as part of your compensation package. how we work Small, senior, deliberate. We write more than we meet. We ship the core of the product before we ship the edges. We care about craft in code, policy design, and how we engage with customers. The bar is high, and the stakes are high: the safety layer of the robotics revolution is being built now, and we intend to be the one that defines it. process and small print Hiring process. A short intro call, a technical conversation tailored to the role, a deeper-dive session (onsite or remote), and an offer. Typical time from application to offer is two to three weeks. We move fast when we meet the right person. Visa and relocation. We support visa sponsorship and relocation within Europe where it makes the difference between hiring the right person and not. Equal opportunity. We hire on the strength of the work. We hire on the strength of the work. We do not discriminate on the basis of ethnic origin, gender, religion or belief, disability, age, sexual identity, or anything else unrelated to the job. We explicitly welcome applications from people with disabilities and give them equal consideration.  Your data. We process your application data under the GDPR to run this hiring process. If we do not hire you, we keep your data for up to six months afterwards so we can respond to any questions or legal claims, then delete it. If you would like us to keep your details longer for future roles, we will ask for your separate consent. You can ask us to delete your data at any time. About us coera is building the universal safety intelligence layer for human-robot coexistence, redefining what safety means in the age of physical AI. Robotics is advancing faster than the safety systems meant to support it. coera closes that gap with multimodal sensing and deterministic guardrails: retrofittable, embeddable, controller-agnostic. Safety is not a checkpoint or a constraint. It is the capability that lets intelligent machines operate freely wherever people do.