Tech Lead – Data Platform12-month contract | Fully RemoteWe are working with an early-stage technology company building a data-intensive B2B SaaS product for enterprise customers.The platform combines large-scale data pipelines, analytical and modelling capabilities, and a modern web application. The engineering team is small, highly technical and moving quickly as the product scales.We are looking for a hands-on Tech Lead to take ownership of the technical direction, architecture and engineering delivery across the platform.What you'll doOwn the technical architecture across data, backend and product.Lead a small engineering team across delivery, priorities and technical direction.Translate product requirements into practical technical plans.Remain hands-on, writing and reviewing production code.Establish strong engineering practices around testing, releases, observability and security.Work with enterprise customers on technical and security requirements.Help shape the product and technology roadmap.Must-haveSignificant hands-on engineering experience as a Tech Lead, Founding Engineer, Staff Engineer or similar.Proven experience building and taking a data-driven product from prototype into production.Strong experience with data platforms, production pipelines and cloud data warehouses.Strong B2B SaaS architecture experience, including multi-tenancy, security and data protection.Strong TypeScript and React/Next.js experience.Experience working in a fast-moving startup or scale-up environment.Entrepreneurial mindset with the ability to operate independently and comfortably with ambiguity.Strong software engineering practices and experience using AI-assisted development tools.Nice to haveExperience working in an early-stage startup through Series A or similar growth stage.Snowflake or equivalent cloud data warehouse experience.Experience with complex operational or event-based data.Process mining, simulation or Operations Research experience.Experience building analytical or data-intensive B2B products.Experience working with production AI/LLM features.

Senior Data Scientist / ML Engineer – Simulation12-month contract | Fully RemoteWe are working with an innovative technology business developing a digital twin platform for complex organisations.The platform uses real-world operational data and event logs to simulate how organisations operate, allowing businesses to quantify the impact of operational changes before they are made.We are looking for a Senior Data Scientist / ML Engineer to own the simulation and statistical modelling layer of the platform.What you'll doDesign and develop discrete-event and process simulation models in Python.Develop statistical and ML methods to fit and calibrate models against real operational data.Use event logs and timestamp data to infer processes, routing, capacity and durations.Design simulations and experiments to quantify operational changes.Build production-quality, reusable modelling systems.Work closely with data engineering and product teams.Communicate complex modelling outputs clearly to non-technical stakeholders.Must-haveStrong Data Science / ML Engineering experience with production-grade Python.Hands-on experience with process or discrete-event simulation, stochastic modelling or Operations Research.Strong statistical modelling skills, including estimation, calibration and validation.Experience working with real-world operational, event-log or timestamp data.Strong Python scientific stack: NumPy, SciPy and pandas.Good software engineering practices, including Git, testing and reproducible development.Nice to haveExperience in complex operational environments such as:Aviation / airportsLogistics / supply chainTransportationManufacturingHealthcareFinancial or professional servicesConsultingExperience with process mining, queueing theory, Monte Carlo simulation, survival analysis or agent-based simulation would also be valuable.We're particularly interested in candidates who have taken messy operational data, reconstructed how a real-world process works and built a quantitative model that can be used to support business decisions.

Senior Deep Learning Research ScientistDeepRec.ai  Berlin, Germany (Hybrid)Senior Research Scientist, Geometric Deep Learning and Scientific MLLocation: Berlin, GermanyWorking model: Full time, hybridAbout the companyWe are supporting an early stage deep learning company developing foundation models for engineering and physical systems.The company works with industrial partners across mechanical engineering, electrical engineering, manufacturing, and engineering design. Its goal is to create models that can generalise across different physical problems, geometries, and industrial constraints.This is a small research led team where new ideas can be implemented, tested, and improved quickly.The opportunityWe are looking for a Senior Research Scientist who can develop original deep learning methods for complex engineering problems.This is not a role focused on applying existing models without questioning them. You will be expected to understand why an architecture works, identify where current methods fail, and develop new approaches from first principles.You should have deep research expertise in at least one relevant area, while being willing to work across adjacent fields as projects develop.What you could work onDesigning and validating new geometric deep learning architecturesDeveloping models for graphs, meshes, point clouds, particles, surfaces, and other structured dataBuilding generative models for engineering design and physical systemsDeveloping surrogate models for computationally expensive simulationsTraining models using synthetic and simulated dataConditioning generative models on multimodal inputs and physical constraintsExploring neural operators, neural differential equations, diffusion models, and function space modellingStudying network architecture, optimiser behaviour, regularisation, loss geometry, and generalisationTranslating research papers into reliable experimental systemsWorking directly with industrial simulation environments and proprietary engineering datasetsWhat we are looking forA PhD in computer science, mathematics, applied mathematics, physics, engineering, or a related subjectResearch depth in geometric deep learning, scientific machine learning, generative modelling, synthetic data, surrogate modelling, neural operators, or a closely related areaStrong mathematical understanding of neural networks, optimisation, and generalisationEvidence that you can develop original methods rather than only reproduce existing researchExperience designing, training, and evaluating deep learning architecturesAbility to read papers critically and explain the reasoning behind technical decisionsStrong Python experience with PyTorch, JAX, TensorFlow, or similar frameworksInterest in applying research to difficult industrial problemsCandidates completing a strong PhD, experienced postdoctoral researchers, and researchers with several years of industry experience are all encouraged to apply.Useful additional experienceEquivariant neural networksGraph neural networksThree dimensional geometry, meshes, point clouds, or particle systemsPhysics informed learning and differentiable simulationSynthetic data generationReinforcement learning for optimisation or trajectory generationProcedural geometry generationSimulated data transfer into real applicationsExperience moving research models into production environmentsPrevious CAD, CAM, CNC, or manufacturing experience is not required.What is offeredDirect influence over the company’s research directionClose collaboration with the foundersFreedom to explore and test original ideasAccess to industrial datasets and simulation environmentsShort research and development cyclesConference attendance and continued learning supportFlexible working hoursPotential equity participationPossible relocation supportEnglish speaking working environment, with no German requirementThe team works from Berlin, with approximately two to three days per week available to work from home.If you enjoy developing new deep learning methods, reasoning from mathematical foundations, and applying research to physical engineering problems, we would be interested in speaking with you.

Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.   In the Automotive Engineering Laboratory, we are now looking for a: Chief Engineer - Vehicle Dynamics Controls (m/f/d) We are seeking a Chief Engineer in Intelligent Vehicle Dynamics to enhance driving safety, stability, and overall vehicle performance. The ideal candidate will possess over 15 years of experience in leading technical teams, along with a deep expertise in vehicle dynamics—including advanced control architectures utilizing modern x-by-wire systems and next-generation sensors. The team focuses on emerging technology trends and architectures within intelligent vehicle dynamics. In this multidisciplinary role, you will collaborate closely with our global research and development community   Your missionLead research and development projects focusing on advanced control architectures (e.g., collaborative, domain, and AI control), new x-by-wire actuators, and novel sensors to continuously enhance the core competitiveness of autonomous and electric vehicles.Generate insights into new vehicle and chassis hardware/software technologies, author reports on the current industry state and trends, and develop mid-to-long-term technology roadmaps.Build academic and industry cooperation within Europe and fully leverage the advantages of the vehicle dynamics expertise in the German automotive industry.Work with HQ executives to drive the vehicle performance strategy, strengthening and highlighting the importance of intelligent vehicle control across the organization.Be responsible for daily team management, including employees' long-term development, team building, and project management.    Your profileA Master’s or higher degree in Automotive Engineering, Control Systems, or a related field, with a specialization in vehicle dynamics or control theory.15+ years of experience in developing control systems for vehicle dynamics or related automotive systems.A proven track record of technical leadership and engineering management, with a history of successful delivery and launched programs.Excellent communication and management skills, with a demonstrated ability to deliver on commitments under pressure and tight deadlines.A team player who thrives in an international environment. Fluent communication skills in English are essential.Willingness and availability to travel to China (approximately 20% of the time).  By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here.   Your rewards of working hereOur culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.Self-responsible work in a competent, motivated and constantly growing team.  Please send your application and CV (incl. cover letter and reference letters) in English. Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.

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

Agentic AI EngineerParis, onsite five days per weekWe are supporting an early stage AI company building a knowledge and decision layer for factories.The platform ingests documents, logs, images, and video, then converts this information into an internal ontology and graph that AI agents can use to reason, call tools, and support operational workflowsYou will help design the core intelligence layer, from data ingestion and modelling through to graph architecture, agent orchestration, evaluation, and production reliability.This is not a basic RAG role. You will need to understand how information is structured, how relationships are represented, and how agents navigate complex systems.You should bring strong Python and software engineering skills, experience with data modelling, graph based systems or knowledge graphs, and production experience with applied AI. You should also understand tool calling, agent workflows, prompt design, and evaluation frameworksExperience with Graph RAG, Langfuse, ontologies, multimodal data, manufacturing, robotics, or industrial software would be useful.Founding engineer or technical founder experience is also valued.If your open to this position, feel free to apply to this JD with your updated resume and we'll be in touch to discuss further if there is alignment.

Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.   In the Automotive Engineering Laboratory, we are now looking for a: Chief Engineer - Vehicle Dynamics Controls (m/f/d) We are seeking a Chief Engineer in Intelligent Vehicle Dynamics to enhance driving safety, stability, and overall vehicle performance. The ideal candidate will possess over 15 years of experience in leading technical teams, along with a deep expertise in vehicle dynamics—including advanced control architectures utilizing modern x-by-wire systems and next-generation sensors. The team focuses on emerging technology trends and architectures within intelligent vehicle dynamics. In this multidisciplinary role, you will collaborate closely with our global research and development community   Your missionLead research and development projects focusing on advanced control architectures (e.g., collaborative, domain, and AI control), new x-by-wire actuators, and novel sensors to continuously enhance the core competitiveness of autonomous and electric vehicles.Generate insights into new vehicle and chassis hardware/software technologies, author reports on the current industry state and trends, and develop mid-to-long-term technology roadmaps.Build academic and industry cooperation within Europe and fully leverage the advantages of the vehicle dynamics expertise in the German automotive industry.Work with HQ executives to drive the vehicle performance strategy, strengthening and highlighting the importance of intelligent vehicle control across the organization.Be responsible for daily team management, including employees' long-term development, team building, and project management.    Your profileA Master’s or higher degree in Automotive Engineering, Control Systems, or a related field, with a specialization in vehicle dynamics or control theory.15+ years of experience in developing control systems for vehicle dynamics or related automotive systems.A proven track record of technical leadership and engineering management, with a history of successful delivery and launched programs.Excellent communication and management skills, with a demonstrated ability to deliver on commitments under pressure and tight deadlines.A team player who thrives in an international environment. Fluent communication skills in English are essential.Willingness and availability to travel to China (approximately 20% of the time).  By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here.   Your rewards of working hereOur culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.Self-responsible work in a competent, motivated and constantly growing team.  Please send your application and CV (incl. cover letter and reference letters) in English. Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.

Chief Research Scientist - Industrial AIEast Bay, California | Hybrid We’re partnering with a major global technology organisation to appoint a Chief Research Scientist, focused on identifying what’s next in AI and translating frontier research into technologies with significant real-world impact. This is a rare opportunity to explore frontier AI research with the resources and scale to turn emerging ideas into technology used across some of the world's most complex environments. This is not a traditional AI delivery or engineering leadership role. We’re looking for a recognised AI research leader who operates ahead of the curve — someone who can anticipate where the field is heading over the next 6–12 months, investigate emerging research directions, rapidly test new ideas, and determine which technologies are worth pursuing before they become mainstream. The opportunity You’ll operate at the intersection of frontier AI research, experimentation and technology strategy, with the scope to explore emerging capabilities and influence where a global organisation invests next. You will:Identify emerging AI research, models and architectures with significant future potential.Rapidly prototype and experiment with new approaches to understand what works beyond the research paper.Determine which emerging technologies warrant deeper investment and development.Take promising research concepts from early exploration towards real-world application.Influence long-term AI strategy alongside senior technical and business leadership.Build and mentor a team of exceptional AI researchers and technologists.Develop an external presence within the AI research community through conferences, publications and thought leadership.Who we're looking for This role requires a frontier AI research profile rather than a standard applied AI delivery background. You may currently be working within a leading research lab, frontier AI company, advanced R&D organisation or highly research-driven technology environment. We’re particularly interested in:10+ years across AI/ML research, advanced R&D or emerging technology.PhD-level research depth or equivalent industry experience.A strong record of publications, patents, conference contributions or recognised technical thought leadership.Deep expertise across foundation models, LLMs and emerging AI architectures.The ability to spot important research trends early and translate them into experiments and prototypes.Experience taking advanced AI beyond theory and into complex, real-world environments.The technical credibility to engage with leading researchers alongside the communication skills to influence executive leadership.Experience building, mentoring or leading high-calibre research teams.This is for someone who doesn't just want to work with today's AI capabilities, but wants to help determine what comes next.Get in touch for a confidential conversation.