SUBMIT VACANCY

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

Quantum Engineer We are looking for a Quantum Engineer to lead the development of next-generation quantum wiring products and enable scalable quantum technologies. This role combines hands-on lab work, software development, and experimental quantum research to turn advanced concepts into real-world prototypes.About the RoleYou will help build and operate our first quantum test lab, develop and optimize wiring solutions for quantum systems, and work closely with experimental and engineering teams to advance scalable quantum hardware. You will interact with researchers worldwide to inform product development, and contribute to building a high-performing, cross-disciplinary team.Key ResponsibilitiesQuantum wiring software: Develop algorithms, simulations, and feature specifications for wiring optimization and scalingProduct roadmap execution: Design and integrate components into demonstrators and scalable quantum products.Test suite development: Build mechanical, microwave, and quantum test systems to validate prototypes and products.Engineering collaboration: Provide guidance, feedback, and design specifications to RF, mechanical, and fabrication teams.Team building: Help attract and onboard top-tier quantum engineers to the team.Who You AreA hands-on problem-solver and builder, passionate about scaling quantum technologies. You enjoy tackling diverse challenges, from algorithm development to hands-on assembly, testing, and troubleshooting. You thrive in fast-paced, multidisciplinary environments and take ownership of complex technical problems.Key QualificationsPhD in experimental quantum computing or a closely related field (solid-state qubits, superconducting circuits, spins, dots, graphene, etc.).Experience specifying, installing, and operating complete cryogenic measurement setups, including DC and RF wiring.Strong Python skills for simulations, analysis, and optimization across quantum devices, RF systems, and thermal models.Deep understanding of passive microwave engineering and networks.Expertise in superconducting quantum devices, including qubit design, readout resonators, and single-shot measurements.Excellent communication and collaboration skills in English.Bonus SkillsExperience in qubit, PCB, or semiconductor fabrication techniques.Knowledge of heat transfer, cryogenics, RF connectors, soldering, or microwave engineering.Proficiency in French.Personal AttributesHands-on builder: comfortable creating setups, scripts, and prototypes from scratch.Meticulous, systematic, and engineering-focused problem-solver.Autonomous, ambitious, and organized; able to drive projects forward independently.Transparent communicator who values collaboration, constructive feedback, and teamwork.Eager to learn, grow, and push the limits of what is possible in quantum hardware.

Lead Python EngineerWe’re working with an early-stage AI product company in London building software that automates real-world operational workflows using Python and applied AI.This is a hands-on engineering role focused on designing and building backend systems, APIs, and data-driven workflows that power AI features used in production. You’ll work closely with product and design to take ideas from concept to live features, integrating LLM capabilities into practical use cases.The role is around 80 percent coding and 20 percent leadership. Alongside building systems, you’ll mentor engineers, contribute to code reviews, and help shape technical decisions as the team grows.You’ll be responsible for:Designing and building scalable backend services using PythonDeveloping APIs that support core product functionalityIntegrating LLM and AI-driven features into workflowsImproving system performance, reliability, and maintainabilityCollaborating cross-functionally to deliver features end to endKey requirements:4 to 8 years software engineering experienceStrong Python backend skills, APIs, and frameworks such as FastAPI, Flask, or DjangoExperience building production systems in a startup or fast-paced environmentFamiliarity with cloud platforms such as AWS, GCP, or AzureExposure to AI, LLMs, or RAG is beneficialYou’ll join a small, product-focused team with high ownership and the opportunity to influence both engineering direction and product development.

AI Data Engineer (Contract, Remote – Europe) We’re looking for a contract AI Data Engineer to help build and scale data infrastructure that supports advanced analytics and AI use cases. This role focuses on creating robust data pipelines and enabling intelligent data processing in a cloud-first environment. What you’ll be doingBuild and maintain end-to-end data workflows to handle ingestion, processing, and transformation of diverse datasetsLeverage machine learning and generative AI approaches to enhance data preparation, including tasks such as extraction, tagging, and feature creationConnect data platforms with cloud storage and processing services, ensuring seamless integration with downstream AI and modelling workflowsImprove pipeline efficiency, scalability, and resilience through performance tuning and proactive monitoringWork closely with engineers, data specialists, and AI practitioners to deliver reliable data solutionsWhat we’re looking forStrong background in data engineering, with solid Python development skillsExperience working with large-scale or complex data environmentsExposure to AI/ML concepts and practical use of generative AI in data-related workflowsHands-on experience with Azure-based data platforms and servicesGood understanding of data governance, pipeline optimisation, and system reliabilityAbility to operate effectively in distributed, cross-functional teamsAdditional detailsFully remote (Europe-based candidates only)Applicants must have the right to work in their country of residence — no sponsorship availableQuick start preferred

Location: Munich (Hybrid/On-site depending on team setup) Type: Full-time Company Overview We are working with a fast-growing Vision / AI company building production software for the food and retail industry. Their systems help customers reduce food waste and improve operational efficiency - supporting sustainability goals through real-time computer vision and automation. With teams across Europe, the US, and Asia, we combine startup pace with real-world deployments at enterprise customers.The Role We are hiring a hands-on engineer to support the delivery of our computer vision / ML products into production. This role sits at the intersection of software engineering applied machine learning, with a strong focus on making ML models run fast, reliably, and at scale on edge devices. You will be responsible for our core video processing framework and deployment stack, working closely with senior ML engineers to ensure model inference performance, stability, monitoring, and field success. While you won’t be expected to design new ML algorithms or lead model training, you will be involved in diagnosing model issues in the field and improving real-world performance through optimization and iteration.This is a great fit for someone who enjoys real-world ML delivery: video streams, edge devices, inference performance, and production debugging.Key Responsibilities ML Model Runtime & Edge PerformanceMake ML models run efficiently on edge devices (latency, throughput, CPU/GPU utilization, memory constraints)Support inference optimization and troubleshooting (profiling, batching, pipeline tuning, runtime constraints)Investigate real-world model failures (data quality, camera placement, lighting, drift, edge-case behaviour) and work with ML engineers on mitigation strategiesEnsure robust model rollout processes: versioning, validation, safe deployment cyclesVideo Pipeline Engineering (Core Focus)Design and optimize real-time video processing pipelines using GStreamerIntegrate and manage streams from IP cameras (RTSP/ONVIF) and USB camerasDebug complex video stream issues (encoding/decoding, dropped frames, jitter, latency, network instability)Deployment & Production OperationsPackage and deploy services using Docker/Podman on Linux-based edge systemsTroubleshoot issues directly on production/staging Linux hosts (logs, profiling, system-level debugging)Implement and maintain monitoring and device health checks (e.g., Checkmk or similar)Event Streaming & InterfacesBuild interfaces between edge devices and online tools / connected machinesWork with event streaming systems (Kafka or similar) for detections, events, and telemetrydeep Kafka expertise isn’t required, but strong conceptual understanding isMust-Have Skills2–5 years of professional experience in software engineering / applied ML engineeringStrong Python skills (asyncio, threading, multiprocessing)Strong Linux skills: CLI, systemd, bash scripting, networking fundamentalsSolid experience with containerization (Docker or Podman)Comfortable debugging real systems remotely and working end-to-end (not just coding isolated modules)Interest in ML delivery and computer vision systems in productionNice to HaveExperience with GStreamer (big plus)Familiarity with computer vision pipelines (OpenCV, image processing)Experience with FFmpeg, RTSP, H.264/H.265, ONVIFWebRTC exposure (low-latency streaming)Kafka / message broker familiarityGerman language skills (corporate language is English)Why This Role is InterestingYou’ll work at the “real ML” layer: getting models running in production environments where conditions are messyStrong collaboration with senior ML engineers, with room to grow into more ML responsibility over timeDirect ownership of the edge inference video stack powering real customer deploymentsInternational team, low bureaucracy, hands-on culture

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)

About the RoleWe are seeking a Senior Quantum Error Correction Scientist to develop fault-tolerant protocols and error correction schemes across diverse quantum hardware platforms. This is a rare opportunity to contribute to foundational research and help define scalable quantum architectures. Key Responsibilities:Design and evaluate quantum error correction schemes for heterogeneous hardware architecturesDevelop efficient fault-tolerance protocols under realistic noise and hardware constraintsBuild simulation and modeling tools for system analysis and designLead research projects and collaborate with multidisciplinary teams QualificationsPhD in Physics, Computer Science, Electrical Engineering, or related field5–10 years of experience in quantum error correctionStrong record of publications in QEC or related fieldsExperience with scientific computing and programmingProven ability to lead collaborative research and communicate resultsPreferred Skills:Translating research into hardware-aware protocols or commercial applicationsHands-on experience with quantum devices or simulationsKnowledge of decoding techniques and fault-tolerance architectures Benefits Visa Sponsorship: Open to supporting Visa to attract Top TalentCompensation: Competitive salary and equityHealth Coverage: Company-sponsored benefits for you and your familyWork at the cutting edge of quantum computing researchRegular offsites and social activities to recharge and connectShape scalable and fault-tolerant quantum systems for real-world applicationsFlexible and supportive work environment

AI Project Manager (Contract)We’re partnering with a leading Consulting organisation to hire an AI Project Manager to drive high-impact AI initiatives within a Microsoft/Azure environment. This is a fantastic opportunity to work at the forefront of AI delivery, collaborating with senior stakeholders and cutting-edge technical teams. The RoleOwn and deliver AI and data projects end-to-end within an Azure ecosystemAct as the key interface between business stakeholders and technical teamsDrive project planning, execution, and governance across multiple workstreamsEnsure clear communication, alignment, and successful delivery in a client-facing environmentWhat We’re Looking For5–8 years’ experience in project management within tech, data, or AI environmentsProven track record delivering AI / ML or advanced analytics projectsStrong experience with Microsoft technologies, particularly AzureConsulting or client-facing delivery experience is highly desirableExcellent stakeholder management and communication skillsFluent English is essentialAdditional InfoFully remote within Europe (Europe based in a must have)Fast-paced, high-visibility project environmentImmediate start preferred