Вакансии

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None; supervision of students possible Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Build digital-twin and simulation capability for magnetic resonance. The role covers MRI and NMR sequence modelling, simulation of imaging systems validated against measurement, and optimal control applied to pulse design, with a path from research method towards a product and a clinical or industrial application. Responsibilities Pillar 1 Modelling and Simulation Develop MRI and NMR sequence models and the simulation tooling around them. Build digital twins of imaging systems and validate them against real measurement. Apply optimal control and pulse optimisation to magnetic resonance problems. Success Metrics and KPIs: simulation accuracy against measurement, sequences delivered. Pillar 2 Towards Application Assess the route from research method to product, including any regulatory path. Work with clinical and industrial partners on validation and use cases. Identify where the digital-twin approach gives a real advantage over existing tools. Success Metrics and KPIs: partner engagements, validated use cases, product requirements defined. Pillar 3 Research and Collaboration Publish, and collaborate with Constructor University faculty on imaging and reconstruction. Contribute to grant applications in medical imaging and quantum sensing. Supervise students working on reconstruction and simulation. Success Metrics and KPIs: publications, collaborations, grant applications supported. Requirements Experience PhD in physics, medical physics or a related field. MRI or NMR sequence development and the physics underneath it. Simulation and modelling of imaging systems. Scientific programming in Python or comparable. Skills & Competencies Able to move between the physics, the code and the application. Interest in taking a research method towards a product. Comfortable as the specialist in your area within a broader quantum group. Clear scientific communication. Education & Languages PhD in physics, medical physics or a closely related field. Fluent English. What This Role Is (and Is Not) This role IS Ownership of a distinct technical area inside a quantum group. Research with a credible route to application. University collaboration and supervision built in. This role is NOT A clinical role. A purely academic postdoc. A role confined to one imaging modality.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None; supervision of students possible Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Build our capability in quantum sensing and magnetometry. The role covers NV-centre systems, optically pumped magnetometry and precision magnetic sensing, applying modelling and machine learning to improve characterisation and bring-up, and taking the results towards applied and commercial outcomes. Responsibilities Pillar 1 Sensing and Characterisation Model, calibrate and characterise NV-centre systems and magnetic-field sensors. Develop digital twins of sensing platforms and validate them against measurement. Apply machine learning to improve bring-up and characterisation time. Success Metrics and KPIs: sensitivity and calibration-time improvements demonstrated on real systems. Pillar 2 Applied and Commercial Explore applied sensing in biomagnetism and medical and industrial diagnostics. Work with Constructor's IP function where the work is patentable. Assess and develop spin-off and licensing pathways within the Constructor ecosystem. Success Metrics and KPIs: invention disclosures, applied use cases validated. Pillar 3 Research and Teaching Publish, and collaborate with Constructor University faculty and external sensing groups. Contribute to grant applications in quantum sensing. Co-supervise MSc projects and contribute to teaching-lab design. Success Metrics and KPIs: publications, collaborations, student projects supervised. Requirements Experience PhD in physics, with experience in NV centres, optically pumped magnetometry or precision magnetic sensing. Pulse sequence development, spin physics, or zero-field NMR. Hands-on experimental work as well as modelling. Track record of publication. Skills & Competencies Able to write the code you need. Interest in applied and commercial outcomes alongside the research. This is a capability we are building, not one you are joining. Clear scientific communication. Education & Languages PhD in physics or a closely related field. Fluent English. What This Role Is (and Is Not) This role IS A chance to build a sensing capability rather than join one. Research with a route to IP and commercial application. Real breadth across modelling and experiment. This role is NOT A purely academic postdoc. A role confined to modelling. A role without commercial orientation.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None; supervision of students possible Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Lead our work on quantum simulation and atomic platforms. The role covers modelling and simulation of quantum many-body systems, model-based calibration of atomic hardware, and optimal control, combining research with a software product that puts those methods into other people's hands. Responsibilities Pillar 1 Simulation and Modelling Model and simulate quantum many-body systems, on hardware and in digital twins. Develop and validate models of neutral-atom and trapped-ion platforms against experimental data. Work on optimal control and pulse design for atomic systems. Success Metrics and KPIs: model accuracy against measurement, methods delivered into the product. Pillar 2 Hardware Engagement Support bring-up and calibration on partner and customer platforms. Act as the scientific interface to hardware vendors and research groups running atomic systems. Turn what is learned on hardware into product capability. Accountability: calibration methods that work on real systems, not only in simulation. Pillar 3 Research and Teaching Publish, and build collaborations with Constructor University faculty and external groups. Contribute to grant applications, including DFG and EU programmes. Contribute to course and teaching-lab material if that interests you. Success Metrics and KPIs: publications, collaborations established, grant applications supported. Requirements Experience PhD in physics, with hands-on experience in neutral atoms, trapped ions or quantum simulation. Optimal control, noise modelling or open quantum systems. Experience in a leading experimental or theory group. Track record of publication. Skills & Competencies Able to write the code you need. You do not need to be a software engineer. Comfortable moving between theory, simulation and real hardware. Interest in seeing methods reach users rather than stopping at the paper. Clear scientific communication. Education & Languages PhD in physics or a closely related field. Fluent English. What This Role Is (and Is Not) This role IS Research with a product behind it, and users at the end of it. A role with genuine publication and collaboration time. Access to hardware and to a university partner. This role is NOT A purely academic postdoc. A pure software role. A role confined to one hardware platform.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Own the interface layer for a scientific platform used by research teams to run complex physical experiments. The work is heavier than typical product frontend — live experiment monitoring, workflow graphs, large result sets, and users who are physicists rather than consumers. The Senior Frontend Engineer owns that layer end to end and sets the standard for it. Responsibilities Pillar 1 Frontend Ownership Own the architecture, code and standards for the platform frontend. Build and maintain complex interactive visualisation: directed workflow graphs, live monitoring, large-scale result inspection. Handle long-running asynchronous work properly — progress, failure states, partial results. Lead the migration to the Constructor React component library. Success Metrics and KPIs: interface stability, adoption by the research team, migration delivered. Pillar 2 Quality and Practice Bring test coverage and review discipline to a codebase built at research pace. Establish component standards and a shared design language with the wider Constructor frontend group. Reach into the backend when that is what unblocks the work. Success Metrics and KPIs: test coverage, defects reaching users, review turnaround. Pillar 3 Working with Scientists Work directly with the physicists who use the interface. Understand the experiment, not just the ticket. Turn vague scientific requirements into concrete interface decisions. Accountability: researchers able to run and monitor experiments without asking for help. Requirements Experience 8+ years frontend engineering with strong React. We will also talk to you if your recent work has been Svelte, Vue or Angular. Data visualisation beyond charting libraries — D3, custom SVG, graph layout algorithms. TypeScript at production scale. Comfortable writing backend code in Python or similar when needed. Skills & Competencies Able to own a layer alone and still work well in a team. Honest about technical debt and weaknesses in your own work. Good judgement on when to build custom and when to use what exists. Clear communication with non-frontend colleagues. Education & Languages Degree in computer science, engineering or equivalent practical track record. Fluent English. What This Role Is (and Is Not) This role IS Full ownership of a complex, technically interesting frontend. A role with peers and code review, in a group that values the work. Hands-on individual contribution at senior level. This role is NOT A design role. A management role. Standard CRUD product work.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None initially Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Own the product direction for Constructor's quantum software line and act as the bridge between a research group and a technology platform. This is a hands-on role in a small technical team, not portfolio management. The Head of Product decides what gets built, keeps research and engineering pointed at something shippable, and owns the relationship with the customers and partners who use it. Responsibilities Pillar 1 Product Direction Own the roadmap for the quantum software line and the decisions behind it. Define which capabilities go into the Constructor technology platform and in what order. Translate research capability into product that someone outside the group will pay for or use. Kill work that is not going anywhere, and say so clearly. Success Metrics and KPIs: roadmap delivered, features adopted, decisions made and held. Pillar 2 Research and Engineering Interface Sit between physicists and engineers and keep both productive. Run planning and prioritisation for a small, senior, opinionated team. Hold the technical depth to challenge both sides rather than relay between them. Accountability: research output converted into shipped product. Pillar 3 External Engagement Own customer, partner and vendor relationships directly. Work with Constructor Tech and Constructor University on joint offerings and teaching applications. Represent the group externally at conferences and with partners. Success Metrics and KPIs: partner engagements initiated and sustained, external visibility of the group. Requirements Experience Technical background in physics, engineering or computer science, with enough depth to hold your own with research scientists. Taken scientific or deep-tech software from research prototype to product. Run customer and partner engagements personally, not through a sales team. Worked somewhere small enough that the product person also does the work. Skills & Competencies Strong facilitation. You will be the person keeping a room of physicists on track. Comfortable being the only product person present. Able to say no and explain why. Clear communication with technical and non-technical audiences. Education & Languages Degree in a technical discipline; postgraduate qualification an advantage. Fluent English. What This Role Is (and Is Not) This role IS Hands-on, senior, and accountable for what the group ships. A role with real decision authority over direction. Externally facing. This role is NOT A programme or portfolio management role. A role with a product team reporting into it from day one. A commercial role without technical substance.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None initially; technical leadership across the engineering group Mission Own the architecture of the software platform on which Constructor Labs' quantum group builds. The platform drives physical quantum hardware end to end — calibration, orchestration, experiment execution and device state — and must work both in our own cloud and on customer premises, including restricted and air-gapped environments. The Principal Architect sets the technical direction, makes the structural decisions, and is the senior engineering voice in a group where research and engineering sit closely together. Responsibilities Pillar 1 Platform Architecture Own the end-to-end architecture across backend services, job orchestration, hardware abstraction and device state management. Define the interfaces between the scientific layer and the platform layer so physicists can work without engineering support. Make and carry the build-versus-buy and framework decisions; document them so they survive the people who made them. Lead the migration of the platform onto the Constructor technology stack. Success Metrics and KPIs: architectural decisions documented and adopted, platform stability, migration delivered to plan. Pillar 2 Hands-on Engineering Write production code in the core of the system, not only design documents. Own the hardest components personally — those where correctness and performance both matter. Set and enforce engineering standards: testing, review, structured logging, dependency governance. Remove single points of failure so no component has only one person who understands it. Success Metrics and KPIs: test coverage, review discipline, bus factor above one on every core component. Pillar 3 Working with Research Work day to day with research physicists, translating experimental workflows into software. Keep the research and engineering collaboration model intact as the group grows. Support the product function with realistic estimates and honest technical constraints. Accountability: research team able to run experiments without engineering bottlenecks. Requirements Experience 10+ years building production software systems, with real depth in Python, C#/.NET or C++. Distributed systems, job scheduling, and interfacing with instruments or physical hardware. Track record as the senior technical voice in a small team. Delivered software into on-premise and restricted environments, not only cloud. Skills & Competencies Able to hold an architecture in your head and explain it simply to people who are not engineers. Comfortable in a scientific domain. A physics degree is not required, genuine interest is. Pragmatic about trade-offs; able to ship rather than perfect. Strong written communication. Decisions that are not written down do not exist. Education & Languages Degree in computer science, physics, engineering or equivalent practical track record. Fluent English. German useful, not required. What This Role Is (and Is Not) This role IS Deeply hands-on, with real authority over technical direction. Central to everything the quantum group builds. A role where you will have peers and a platform behind you. This role is NOT A management track role. An architecture-committee or advisory position. A role where someone else writes the hard code.

Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders. Задачи: — Design and verify custom digital hardware components and architectures that enable high-performance, tightly integrated computation workloads and interface Arago’s custom tensor unit for advanced AI/ML applications. — Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit. — Collaborate with Arago’s system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals. — Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches. — Support synthesis, timing analysis, and backend integration, working closely with Arago’s physical design and CAD engineers. — Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform. Требования: — Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units. — Strong understanding of digital architecture, including pipelining, arbitration, memory hierarchy, and system-level integration. — Proficiency in functional verification, including testbench development, assertions, coverage metrics, and debugging (UVM experience is a plus). — Familiarity with ASIC and FPGA design flows, including synthesis, timing closure, and DFT. — Comfortable working across the full hardware stack — from architectural specification and microarchitecture to physical implementation support. — Language: English at a proficient level. French is a plus. Условия: — Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. — Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). — Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. — Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. — Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. — Reimbursement of 50% of the public transport subscription fee. — A high-paced, multicultural (with 9 nationalities), and engineering-led environment. Our Hiring Process: Your Journey to Arago — Screening Call : Get to know you beyond your CV. — Technical meeting : Deep dive into your past projects and technical achievements. — CEO Interview : Assess the fit with the team’s culture and long-term vision. — Reference Calls: Mandatory calls with your former managers to validate strengths, weaknesses, and work style. — Technical Assessment: Take-home technical assignment crafted to the role you’re applying for. — Final Interview : Discuss your technical assignment and address any remaining questions with team members.

Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders. Задачи: — Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. — Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. — Develop simulation tools to model analog behavior with minimal computational overhead. — Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. — Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. — Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures. Требования: — Background in mathematics, physics, computer science, or a related quantitative field. — Strong interest and skills in applied mathematics and statistics. — Strong experience with quantization of machine learning and AI models. — Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. — Experience studying the impact of numerical precision, noise, or approximation on model accuracy. — Experience with inference performance optimization. — Good knowledge of computer architecture, GPU architecture, or parallel computing. — Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. — GitHub profile with recent and relevant projects. — Language: English at a proficient level. French is a plus. Условия: — Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. — Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). — Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. — Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. — Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. — Reimbursement of 50% of the public transport subscription fee. — A high-paced, multicultural (with 10 nationalities), and engineering-led environment.

Arago is an AI and computer hardware company focused on accelerating breakthroughs at the intersection of AI and semiconductors. The company was founded in 2024 by AI researchers and physicists with expertise in photonics, electronics, software, mathematics, and machine learning. The team is multinational and operates from hubs in France, North America, and Israel. Задачи: — Design and verify custom digital hardware components and architectures for high-performance, tightly integrated computation workloads. — Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit. — Collaborate with system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals. — Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches. — Support synthesis, timing analysis, and backend integration, working closely with physical design and CAD engineers. — Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform. Требования: — Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units. — Strong understanding of digital architecture including pipelining, arbitration, memory hierarchy, and system-level integration. — Proficiency in functional verification including testbench development, assertions, coverage metrics, and debugging; UVM experience is a plus. — Familiarity with ASIC and FPGA design flows including synthesis, timing closure, and DFT. — Comfortable working across the full hardware stack from architectural specification and microarchitecture to physical implementation support. — Proficient English; French is a plus. Условия: — Competitive cash compensation based on location, experience, and team pay. — Meaningful stock option plan offered early. — Relocation bonus and coverage of moving expenses for relocation within 20 minutes of company location. — Healthcare coverage including family options, pension contributions, professional development support. — 25 days PTO plus public holidays. — Ownership of a key technical domain with growth opportunities. — Reimbursement of 50% of public transport subscription fee. — High-paced, multicultural, engineering-led environment. Процесс найма: — Screening Call — Technical meeting — CEO Interview — Reference Calls — Technical Assessment — Final Interview

Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders. What you’ll do As a Senior AI/ML Scientist, you will work at the intersection of modern AI models, numerical precision, and novel computing architectures. Your mission will be to develop the methods that allow AI models to run accurately, efficiently, and reliably on Arago’s computing system. This position combines strong quantization and “digital twin” aspects: understanding how frontier models tolerate reduced precision, defining the right numerical formats and quantization strategies, and building software representations of the processor to model the physical effects that impact AI model accuracy. This role is both scientific and practical. You will help shape the bridge between AI models and Arago’s hardware. Required Skills and Experience Background in mathematics, physics, computer science, or a related quantitative field. Strong interest and skills in applied mathematics and statistics. Strong experience with quantization of machine learning and AI models. Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. Experience studying the impact of numerical precision, noise, or approximation on model accuracy. Experience with inference performance optimization. Good knowledge of computer architecture, GPU architecture, or parallel computing. Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. GitHub profile with recent and relevant projects. Language: English at a proficient level. French is a plus. Responsibilities Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. Develop simulation tools to model analog behavior with minimal computational overhead. Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures. Pay and benefits Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. Reimbursement of 50% of the public transport subscription fee. A high-paced, multicultural (with 10 nationalities), and engineering-led environment.