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Auterion builds a cutting-edge operating system for autonomous robotic systems that empower a diverse range of platforms to perform surveillance, reconnaissance, inspection, mapping and logistics tasks. Our industry-leading software drives the adoption of robotic fleets and is recognized by the U.S. government as the future standard for its drone programs. We are looking for a Senior Embedded Performance Engineer who is passionate about getting the most out of embedded systems — from low-level Linux tuning and hardware integration to high-performance video and data pipelines. This role is ideal for someone who enjoys working close to hardware, moving across the stack, and solving the kinds of problems where milliseconds, bandwidth, startup time, and system efficiency matter. You will work across the AuterionOS ecosystem on topics such as: Embedded Linux performance and system tuning Low-latency video streaming and media pipelines C/C++, Python, and Bash-based platform development Hardware integration, system profiling, and end-to-end optimization Collaboration with experienced and driven engineers across Auterion Responsibilities Work within the Apps & Simulation team and collaborate with other development teams to build high-performance products for autonomous systems. Design, optimize, and maintain performance-critical components within AuterionOS, Auterion's custom embedded Linux distribution. Improve end-to-end system behavior across compute, networking, video, and hardware interfaces, with a strong focus on latency, throughput, reliability, and resource efficiency. Analyze and optimize demanding workloads such as real-time telemetry, video streaming, media processing, and communication between distributed system components. Investigate system bottlenecks across the full stack, from kernel and OS behavior to application-level code and tooling. Collaborate with engineering and product teams to understand both internal and customer use cases, and translate them into robust technical solutions. Propose and implement new platform capabilities with a strong emphasis on measurable performance gains in real-world deployments. Participate in daily stand-ups, release planning, and prioritization discussions. Qualifications and Skills B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field. 5+ years of professional experience writing object-oriented C++ and/or Python. Deep experience with embedded Linux systems, including cross-compilation, debugging, profiling, and performance tuning. Strong hands-on background in diagnosing and optimizing real-world system behavior, including CPU, memory, I/O, networking, boot time, and application latency. Experience building or optimizing low-latency video or data-streaming pipelines, ideally on embedded platforms. Excellent understanding of software systems that span embedded devices, higher-level applications, and fully integrated products. Strong software engineering fundamentals, including system design, implementation, debugging, and testing. Experience with video codecs, GStreamer, RTP/RTSP, or hardware-accelerated media pipelines. Solid experience with Debian/Ubuntu-based systems, Bash scripting, and systemd. Experience with Docker and docker-compose in complex development and deployment environments, as well as qemu. Strong debugging and performance analysis skills at both system and application level, combined with a proactive and self-directed working style. Proficient in ROS2/DDS-style middleware and experienced with networking across multiple OSI layers, including REST APIs and performance-sensitive communication paths. Experience with system integration and interfacing sensors or peripherals, especially via USB and Ethernet. Experience working in an agile engineering environment with stand-ups, sprint planning, and shared ownership across teams. Bonus: Experience with build systems such as CMake, including improving build performance in large-scale software projects. Benefits Flexible working hours Stock Options Generous holiday allowance Company pension plan Car parking Enhanced maternity & paternity leave Mental health and wellbeing support Learning and development opportunities About Auterion We are building the leading software platform for AI-powered autonomous systems for enterprise and government customers. Our team is supporting the most important missions and solving the most challenging problems. At Auterion, we bring together the sharpest minds who love to solve the hardest problems. Join a vibrant team built on innovation, openness, and excellence, where you'll be empowered to develop ideas, collaborate across all levels, and make an impact that matters. Find Jobs in Switzerland on Arbeitnow

Qui sommes-nous ? Fondée en 2014, Artefact est une société internationale de services autour de l'IA et de la data, spécialisée dans le conseil en IA, transformation data et en data & digital marketing. L'approche unique d'Artefact, qui fait le pont entre la donnée et le business, permet à nos clients d'atteindre leurs objectifs business de façon dédiée et efficace. Nos 2500 collaborateurs répartis dans 27 bureaux à travers le monde allient leurs compétences pluridisciplinaires au profit de l'innovation business des entreprises. La mission des Artefactors ? Transformer la data de nos clients en impact business. Dans ce sens, nous collaborons avec plus de 1000 clients, leaders de leurs industries (Orange, Carrefour, Samsung, AccorHotels, L'Oréal, LVMH, Decathlon) et sommes partenaires privilégiés de Google (GMP/GCP), AWS ainsi que Microsoft Azure. En tant que stagiaire Software Engineer, tu seras ammener à: Participer activement à la conception et à l'implémentation de solutions techniques robustes et scalables. Architecture logicielle : Contribuer à la réflexion sur l'architecture de nos applications, en veillant à la performance et à la maintenabilité du code Déploiement et opérations (DevOps) : automatisation des tests et des déploiements cloud avec des pipelines CI/CD et une infrastructure en tant que code (ex : Terraform), packaging d'applications dans des conteneurs (ex : Docker), implémentation d'outils d'observabilité des données (ex : DBT) Déploiement de ton logiciel sur le cloud : GCP, AWS ou Azure Déploiement d'une ou plusieurs expertises techniques suivantes : développement logiciel, ingénierie analytique, ingénierie ML, architecture cloud ou ingénierie de sécurité et de fiabilité des sites Veille technologique : Explorer de nouvelles technologies et outils pour optimiser nos méthodes de travail. Profil recherché Formation : Tu es étudiant(e) en dernière année de cycle ingénieur, Master 2, ou équivalent, avec une spécialisation en sotware engineering, génie logiciel, informatique, ou développement web et tu recherches ton stage de fin d'études à partir de Janvier 2027 Compétences techniques : Maîtrise d'un ou plusieurs langages de programmation comme Python, Java, JavaScript (Node.js), Go ou Scala. Connaissance des principes de la programmation orientée objet et/ou de la programmation fonctionnelle. Expérience avec des bases de données SQL ou NoSQL. Une familiarité avec le Cloud (GCP, AWS, Azure) et les conteneurs (Docker, Kubernetes) est un atout. Connaissance des outils de versioning, en particulier Git . Qualités personnelles : Curiosité et proactivité : Tu as envie d'apprendre et de proposer de nouvelles idées. Rigueur et souci du détail : Tu es soucieux(se) de produire un code propre et de qualité. Esprit d'équipe : Tu es capable de travailler en collaboration et d'échanger avec des profils variés (Data Scientists, Consultants, etc.) Français courant pour travailler en équipe et anglais professionnel obligatoire pour nos clients internationaux Le processus de recrutement : pour rejoindre Artefact, nous te proposons un processus de recrutement en quatre étapes durant lequel tu auras l'occasion de parler de ton expérience et d'en apprendre davantage sur Artefact et le poste d'ingénieur logiciel. Entretien RH Entretien #1 – Test de codage avec un Senior Software Engineer Entretien #2 - Test d'architecture et de pipeline avec un Senior Software Engineer Entretien #3 - Entretien de motivation avec un Manager ou Directeur du pôle Data Engineering Processus d'onboarding : L'intégration comprend une formation sur des compétences transversales critiques telles que la gestion du temps, la communication orale et écrite. Un counsellor te sera également attribué qui te guidera dans ta familiarisation avec la culture et les méthodes de travail de l'entreprise. De plus, tu auras l'opportunité de travailler sur des projets internes pour acquérir une expérience pratique et perfectionner tes compétences. De plus, tu auras la possibilité d'obtenir des certifications sur les fournisseurs cloud avant de travailler sur des missions clients. Ce processus d'intégration est conçu pour te doter des connaissances et des compétences nécessaires pour devenir un ingénieur logiciel performant chez Artefact. Ce que nous offrons Un stage de 6 mois basé à Paris . Un environnement de travail stimulant, où tu seras encouragé(e) à prendre des initiatives. Un accompagnement par un mentor expérimenté pour te faire progresser rapidement. L'opportunité de travailler sur des projets variés et complexes. La possibilité d'être embauché(e) en CDI à la fin du stage. Prêt à rejoindre l'aventure ? Si tu te reconnais dans cette description et que tu souhaites mettre tes compétences au service de projets concrets et impactants, envoie-nous ta candidature ! Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d'aucune sorte. Le groupe s'engage à reconnaître et promouvoir tous les talents, quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination. Find Jobs in France on Arbeitnow

Qui sommes-nous ? Fondée en 2014, Artefact est une société internationale de services autour de l'IA et de la data, spécialisée dans le conseil en IA, transformation data et en data & digital marketing. L'approche unique d'Artefact, qui fait le pont entre la donnée et le business, permet à nos clients d'atteindre leurs objectifs business de façon dédiée et efficace. Nos 2500 collaborateurs répartis dans 27 bureaux à travers le monde allient leurs compétences pluridisciplinaires au profit de l'innovation business des entreprises. La mission des Artefactors ? Transformer la data de nos clients en impact business. Dans ce sens, nous collaborons avec plus de 1000 clients, leaders de leurs industries (Orange, Carrefour, Samsung, AccorHotels, L'Oréal, LVMH, Decathlon) et sommes partenaires privilégiés de Google (GMP/GCP), AWS ainsi que Microsoft Azure. En tant que stagiaire Software Engineer, tu seras ammener à: Participer activement à la conception et à l'implémentation de solutions techniques robustes et scalables. Architecture logicielle : Contribuer à la réflexion sur l'architecture de nos applications, en veillant à la performance et à la maintenabilité du code Déploiement et opérations (DevOps) : automatisation des tests et des déploiements cloud avec des pipelines CI/CD et une infrastructure en tant que code (ex : Terraform), packaging d'applications dans des conteneurs (ex : Docker), implémentation d'outils d'observabilité des données (ex : DBT) Déploiement de ton logiciel sur le cloud : GCP, AWS ou Azure Déploiement d'une ou plusieurs expertises techniques suivantes : développement logiciel, ingénierie analytique, ingénierie ML, architecture cloud ou ingénierie de sécurité et de fiabilité des sites Veille technologique : Explorer de nouvelles technologies et outils pour optimiser nos méthodes de travail. Profil recherché Formation : Tu es étudiant(e) en dernière année de cycle ingénieur, Master 2, ou équivalent, avec une spécialisation en sotware engineering, génie logiciel, informatique, ou développement web et tu recherches ton stage de fin d'études à partir de Janvier 2027 Compétences techniques : Maîtrise d'un ou plusieurs langages de programmation comme Python, Java, JavaScript (Node.js), Go ou Scala. Connaissance des principes de la programmation orientée objet et/ou de la programmation fonctionnelle. Expérience avec des bases de données SQL ou NoSQL. Une familiarité avec le Cloud (GCP, AWS, Azure) et les conteneurs (Docker, Kubernetes) est un atout. Connaissance des outils de versioning, en particulier Git . Qualités personnelles : Curiosité et proactivité : Tu as envie d'apprendre et de proposer de nouvelles idées. Rigueur et souci du détail : Tu es soucieux(se) de produire un code propre et de qualité. Esprit d'équipe : Tu es capable de travailler en collaboration et d'échanger avec des profils variés (Data Scientists, Consultants, etc.) Français courant pour travailler en équipe et anglais professionnel obligatoire pour nos clients internationaux Le processus de recrutement : pour rejoindre Artefact, nous te proposons un processus de recrutement en quatre étapes durant lequel tu auras l'occasion de parler de ton expérience et d'en apprendre davantage sur Artefact et le poste d'ingénieur logiciel. Entretien RH Entretien #1 – Test de codage avec un Senior Software Engineer Entretien #2 - Test d'architecture et de pipeline avec un Senior Software Engineer Entretien #3 - Entretien de motivation avec un Manager ou Directeur du pôle Data Engineering Processus d'onboarding : L'intégration comprend une formation sur des compétences transversales critiques telles que la gestion du temps, la communication orale et écrite. Un counsellor te sera également attribué qui te guidera dans ta familiarisation avec la culture et les méthodes de travail de l'entreprise. De plus, tu auras l'opportunité de travailler sur des projets internes pour acquérir une expérience pratique et perfectionner tes compétences. De plus, tu auras la possibilité d'obtenir des certifications sur les fournisseurs cloud avant de travailler sur des missions clients. Ce processus d'intégration est conçu pour te doter des connaissances et des compétences nécessaires pour devenir un ingénieur logiciel performant chez Artefact. Ce que nous offrons Un stage de 6 mois basé à Paris . Un environnement de travail stimulant, où tu seras encouragé(e) à prendre des initiatives. Un accompagnement par un mentor expérimenté pour te faire progresser rapidement. L'opportunité de travailler sur des projets variés et complexes. La possibilité d'être embauché(e) en CDI à la fin du stage. Prêt à rejoindre l'aventure ? Si tu te reconnais dans cette description et que tu souhaites mettre tes compétences au service de projets concrets et impactants, envoie-nous ta candidature ! Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d'aucune sorte. Le groupe s'engage à reconnaître et promouvoir tous les talents, quels que soient leurs croyances, âge, handicap, parentalité, origine ethnique, nationalité, identité de genre, orientation sexuelle, appartenance à une organisation politique, religieuse, syndicale ou à une minorité, ou toute autre caractéristique qui pourrait faire l'objet d'une discrimination. Find Jobs in France on Arbeitnow

Job title: Senior Data Engineer Department: Data team Reports to: Lead Data Engineer Location: Paris, France Contract: Permanent, local and full-time Starting date: ASAP 2026 PUR Description PUR is a global B Corp helping companies act for climate, nature and people through nature-based projects. Since 2008, we have worked with leading companies to restore ecosystems, support farmers and communities, and build more resilient supply chains. Our projects include agroforestry, regenerative agriculture, reforestation, and ecosystem restoration, across more than 30 countries. We work closely with local partners, farmers, cooperatives, NGOs and businesses to design projects that are adapted to each landscape and community. This local approach is key to creating long-term impact — for the climate, biodiversity, soil, water, and livelihoods. Today, PUR has more than 200 team members across 16 countries, with key offices in Paris and Toronto. As the world faces growing climate and biodiversity challenges, PUR is helping global companies move from ambition to action. About the role As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines and data processing solutions that power analytics, reporting, and data-driven decision making. You will play a key role in transforming raw project data into reliable, high-quality datasets through robust ETL processes, modern data architectures, and Python-based engineering practices. Working closely with business and technical stakeholders, you will ensure that data is accessible, trustworthy, and aligned with analytical requirements while contributing to the continuous improvement of our data platform and cloud-based ecosystem. Your responsibilities will be, but not limited to: Design, develop, and maintain scalable ETL/ELT pipelines using Python. Build and optimize data ingestion, transformation, and validation processes for large datasets. Design and maintain data models supporting reporting, analytics, and business applications. Implement and monitor data quality controls to ensure reliability and accuracy. Manage and optimize workflows using orchestration tools such as Airflow, Prefect, or Dagster . Contribute to the development and maintenance of cloud-based data platforms (preferably Azure). Support CI/CD, testing, monitoring, and infrastructure-as-code practices (Terraform). Collaborate with cross-functional teams to deliver scalable and reliable data solutions. Maintain technical documentation and promote data engineering best practices. We are looking for someone with: 3-5 years of experience in Data Engineering , with strong Python skills and experience building production-grade ETL pipelines. Strong SQL expertise and solid understanding of relational and analytical databases, data modeling, and data warehousing concepts. Experience with workflow orchestration tools (Airflow, Prefect, Dagster) and implementing automated testing for data pipelines. Hands-on experience with cloud platforms (preferably Azure) and Infrastructure as Code tools (Terraform is a strong plus). Familiarity with AI tools (Claude is a plus). Strong knowledge of Git and software engineering best practices. Excellent problem-solving skills, focus on data quality and reliability, and ability to collaborate with cross-functional stakeholders. Fluent English with strong written and verbal communication skills. Recruitment process : Interview with the recruiter Interview with the manager and case study References check At PUR, we strive to build inclusive teams and an equitable workplace where our employees feel respected, supported, and empowered. As a global company operating across six continents, we recognize that diversity in the workplace is essential to achieving our mission. We welcome applications from all qualified candidates regardless of age, race, gender, colour, religion, national origin, sexual orientation, gender identity, disability, or any other aspect that makes them unique. PUR is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you require accommodation or consideration throughout the interview process, let us know, and we will do our best to support you. Find more English Speaking Jobs in France on Arbeitnow

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java, Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You're excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You're motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines . Find Jobs in France on Arbeitnow

Roger is the operating system for dental clinics. We automate the workflows that dental teams shouldn't be doing manually – from treatment plans to patient communication to revenue optimization. We're early, well-funded, and moving fast. We're looking for a Senior Software Engineer who wants to own real problems, not just tickets. Tasks Profile & Experience Senior-level with significant experience shipping and operating production systems Track record of owning projects end-to-end: from concept through delivery to production Experience working cross-functionally with Product, Design, Data, and other stakeholders Preferred stack: Ruby on Rails, Go, Dart/Flutter – but strong fundamentals matter more than specific languages How You Work You think beyond your own code – you understand business context, user needs, and product goals You take ownership proactively and drive projects to completion without waiting for instructions You communicate openly and clearly with stakeholders, technical and non-technical alike You make decisions under ambiguity and escalate when it matters You enable other engineers through code reviews, knowledge sharing, and raising the bar Agentic Engineering Mindset You use AI agents as a force multiplier – not a crutch. You orchestrate, review, and own the output You write specs and plans before prompting. You know that skipping design thinking is where projects fail, not the AI You review AI-generated code with the same rigor as any PR – if you can't explain what a module does, it doesn't ship You test relentlessly. A solid test suite is how you turn an unreliable agent into a reliable system Your fundamentals are strong enough to evaluate, correct, and improve whatever AI produces – architecture, security, performance You understand the spectrum: you know when to vibe-code a prototype and when to apply full engineering discipline Requirements What We Expect Own scope, timelines, and stakeholder alignment for your projects Make and be accountable for technical decisions Build and maintain broad context – know the system, not just your service Continuously raise engineering standards: testing, documentation, CI/CD, observability Actively shape how the team works with AI tooling – contribute to evolving our practices as the technology matures Benefits Why Roger? A market worth billions that still runs on fax machines and phone tag. The opportunity is absurd A team small enough that your decisions shape the product – not a committee's Hard, interesting problems in a space most tech companies ignore Engineers who care about craft – we argue about architecture, not politics Competitive salary, equity participation, and solid benefits – we'll talk specifics in the process Find Jobs in Germany on Arbeitnow

About the job Lead the system software organisation that turns complex hardware platforms into reliable Graphcore systems. As Director of System Software, you will report to the VP of Software and turn software strategy into clear priorities, plans and outcomes. You will lead the teams delivering firmware, drivers, OpenBMC and system software QA. Your work will shape platform bring-up, production release and long-term support across Graphcore systems. You will align technical decisions with business priorities, delivery milestones and product readiness. You will build a strong engineering organisation, developing managers, technical leaders and engineers. You will own execution, quality and cross-functional delivery across hardware, silicon, software and product teams. This is a role for a leader who can think big, act fast and take responsibility for complex system outcomes. The team and culture System Software works close to the hardware, where small decisions can shape product reliability at scale. The team operates through clear ownership, evidence-based planning and direct technical debate. You will lead managers and specialists across firmware, drivers, OpenBMC and QA. Decisions are made through engineering judgement, clear trade-offs and a strong focus on delivery impact. You will be expected to speak up, challenge assumptions and help resolve issues across hardware and software boundaries. Pace matters, but so do maintainability, security and long term quality. What we're looking for · A strong track record leading system software teams across closely coupled hardware and software programmes. · Experience managing managers or multiple technical teams, with clear ownership of delivery outcomes. · Proven ability to build, coach and develop engineering leaders through change and technical uncertainty. · Strong judgement across planning, resourcing, dependencies, risk and production release readiness. · Experience embedding validation, automated testing, hardware-in-the-loop testing and clear release criteria. · Credible technical breadth across firmware, drivers, OpenBMC, QA or related low-level software domains. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Generous leave: Take time to rest, recharge and enjoy life outside of work · Retirement planning support: Up to 5% matched pension · Phantom equity: Share in Graphcore's success · Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day · Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones · Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice · Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover · Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Join the Team at Graphcore Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to lead the system software organisation behind Graphcore's next generation platforms, we'd love to hear from you. Apply now to be part of the journey. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About the job Explore how a next-generation AI architecture behaves from rack scale to data centre scale. As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will work on problems where answers aren't readily known, turning curiosity into measurable evidence. You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale. When behaviour is unexpected, you will turn this into new measurements. Your work will help infrastructure engineers, architects and application specialists understand system behaviour, performance, scalability and reliability across the stack. You will also help develop tooling and automation to collect, analyse and visualise system metrics. You do not need to be an AI expert. You will need strong judgement, curiosity and a clear preference for evidence over opinion. You will love this role if you are someone who takes initiative, questions assumptions and enjoys working in areas where the answers are not yet known. The team and culture The System QA team is distributed across multiple locations. We work hard to stay connected and collaborate closely. Our daily team meetings feel more like a virtual coffee break than a formal status update with space to share ideas, ask questions, discuss discoveries and solve problems together. We value trust, autonomy and openness, and we understand that great engineers don't all follow the same career path. What matters is the quality of your work, your curiosity, and your willingness to explore challenging problems. You will have regular 1:1s with your people manager where you will have the opportunity to discuss things that matter to you. You will have dedicated time each week to focus on your CPD. The technical lead will provide direction and help set priorities, but everyone in the team is there to support each other. One of our core principles is that we measure and report what we observe without trying to make results look better or worse than they are. What we're looking for Comfortable using Python to write tests, automate tasks, analyse data or develop practical engineering tools. Strong analytical and problem-solving skills. A curiosity-driven approach to investigating complex systems. Ability to explain technical findings clearly, using accurate and reproducible evidence. Confidence to work independently, take responsibility and collaborate across engineering teams. Experience in some of the following would be valuable: AI workloads and benchmarking, systems architecture, parallel and distributed computing, automation, containers or modern orchestration infrastructure While we have outlined a set of requirements, we value transferable skills and diverse experiences from different industries. We actively welcome applications from engineers to the profession through a returnship or after a career break. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to explore how complex AI systems really behave, we'd love to hear from you. Apply now to join the Systems Engineering team. Find Jobs in United Kingdom on Arbeitnow

About Singular Photonics: Singular Photonics is a fast-growing fabless semiconductor start-up, developing Single-Photon Avalanche Diode (SPAD) sensors that bring advanced computation directly into imaging. Our sensors enable innovations across LiDAR, fluorescence lifetime imaging (FLIM), spectroscopy and time-resolved optical measurements, powering next-generation solutions for customers worldwide. Based at Orchard Brae House in Edinburgh, we are a close-knit team at the forefront of the photonics revolution. About the Role: We are seeking an FPGA Firmware Engineer to join our multidisciplinary R&D team. This is an FPGA role: you will design, implement and verify the Verilog firmware that powers our SPAD sensors, captures photon timing data at high rates and streams it to the host. Our sensors generate data faster than most imaging systems ever see, so the interesting problems here are real ones: clock domain crossing, timing closure and getting data off the device without losing a photon. You will work alongside our hardware, ASIC and software engineers, from architecture through to system bring-up and customer deployment. You will report to the Lead Firmware Engineer. Key Responsibilities: Architecture: Define FPGA requirements and architecture for SPAD sensor readout, in discussion with the hardware, ASIC and software teams. RTL Design: Implement, verify and debug Verilog modules for data acquisition, photon timing, histogramming and sensor control. Verification: Design and run simulations and testbenches, with coverage sufficient to trust the design before it reaches hardware. Synthesis & Timing: Own synthesis, constraints, clock domain crossing and timing closure on AMD-Xilinx FPGA family devices in Vivado. High-Speed Interfaces: Build and integrate the high-speed interfaces that move sensor data: PCIe, USB3, Ethernet, AXI interface, MIPI, LVDS, SLVS, Camera Link. Bring-Up & Debug: Lead firmware bring-up on new boards and sensors, debugging with oscilloscopes, logic analysers and in-system probes. Source Control & Build: Keep RTL under version control with a repeatable, automated build, and document designs to the standard our ISO 9001 design control process requires. Reviews & Support: Contribute to design reviews, and support the software team and customers during field integration. Experience & Skills: Essential: Strong proficiency in Verilog, and a solid grounding in RTL design, synthesis and timing closure. Hands-on experience with AMD-Xilinx Vivado and its toolchain. Experience writing your own testbenches and verifying a design in simulation before hardware. Experience bringing up firmware on real hardware and debugging it in the lab. Experience with at least one high-speed interface or bus at RTL level. Comfortable in a small company where priorities shift and everyone pitches in. Working with complex, existing codebases and seamlessly integrating new functionality with minimal disruption. Desirable: SystemVerilog, and verification practices beyond directed testbenches. Comfortable working in Linux operating systems. Exposure to any of PCIe, AXI interface, USB3, Ethernet, MIPI, LVDS, SLVS or Camera Link. C, C++ or Python for embedded software integration and test automation. Experience with image sensors, time-of-flight, TDCs or single-photon detection. Familiarity with PCB design tools such as Altium Designer, and reading schematics during debug. Educational Background: Degree in Electronics Engineering or a related field, or equivalent practical experience. 2-5 years' experience in FPGA and digital design. Key Attributes & Behaviours: Rigour: Disciplined about verification - you would rather find it in simulation than on the bench. Debugging: Systematic when the fault could be in the RTL, the board or the sensor, and comfortable with the instruments that tell you which. Clarity: Writes documentation and code that colleagues can pick up without you in the room. Collaboration: Works well across the hardware, ASIC and software boundaries rather than only inside the FPGA. Ownership: Takes a problem from architecture through to a working system, and sees it through. Adaptability: Comfortable in a fast-paced, evolving environment where the requirement can move. Success Indicators: Firmware that meets timing and functions correctly on first hardware more often than not, with issues found in simulation rather than on the bench. Effective bring-up and debugging support during prototype validation and customer deployment, with hardware and firmware issues resolved promptly. Design documentation, simulation coverage and design review contributions good enough for another engineer to maintain the work. Benefits of Joining Singular Photonics At Singular Photonics, we are committed to fostering a rewarding and supportive environment for our team. As an FPGA Firmware Engineer, you will benefit from: Pension: 5% company contribution. Share Options: Participation in the Company EMI Share Option Scheme, so you share in the growth you help build. Enhanced Annual Leave: 35 days paid annual leave per year, inclusive of UK public holidays. Hybrid Working: Primarily office-based, with flexibility to work remotely up to two days per week (full time worker). Career Growth: Work on silicon and systems few engineers get near, with the chance to shape how we do FPGA development as the team grows. Additional Benefits: [Cycle to work and private medical insurance (once implemented) Why Join Us This position offers a rare opportunity to work at the forefront of SPAD sensor technology, driving innovation and shaping future applications in photonics and imaging. At Singular Photonics you will be part of a passionate, close-knit team, where the work you do is visible in the product and in the hands of customers. Location & Work Environment Based at Orchard Brae House, Queensferry Road, Edinburgh. This is a full-time, permanent role. The work is hands-on with hardware in our lab, so it is primarily office-based, with flexibility to work remotely up to two days per week. Right to work in the UK is essential. We are unfortunately unable to offer visa sponsorship for this role. Equal Opportunities Singular Photonics is an equal opportunities employer. We welcome applications from all qualified candidates and make appointments on merit, regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex or sexual orientation. If you need any adjustments to the application or interview process, please let us know and we will do what we can to accommodate you. Find Jobs in United Kingdom on Arbeitnow

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers' financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. The Role We're building the Advisory Intelligence Platform: Codat's client intelligence delivered inside the assistant a banker already uses (Microsoft Copilot first). Ask it anything about a client and it answers from the client's real books. Don't ask, and it still tells you what's changed, why it matters and what to do about it. Under it we're building the semantic layer, so every answer uses the same definitions, the signal layer that spots what's changed for a client, and the reasoning layer, a Codat-side LLM that turns those signals into advice. The first bank goes live this year. You'll be building the data and reasoning behind all of it. This is a hands-on job for software engineers who want to build the systems a model reasons over, not configure a warehouse. Codat is AI-first, not AI bolted onto SaaS. The product lives inside the AI assistant our clients already use, and we build it the same way: agents do the repetitive work, engineers do the hard parts. You'll build it and you'll run it. Nobody hands it over the wall once it's live. You'll also get a real say in where it goes next. That means making your case to engineers, product and the commercial team, and bringing them along with you. What You'll Work On The semantic layer. Measures, dimensions and definitions the model is allowed to use, so every answer it gives is the same answer. Yours to grow, persona by persona. The signal layer. Detecting what's changed for a client and surfacing it before the banker asks. You'll be designing and building this. The reasoning layer. A Codat-side LLM that turns signals into advice. Our calculations are the ground truth it reasons over. You own the calculations the model relies on, and the names, definitions and structure that let it pick the right one. The agents and MCP (Model Context Protocol) servers behind the assistant. What tools it has, how they're built, how they fail, and the evals that prove they work. Everything from raw source data to the number the assistant quotes: the pipelines, services and data models, with the testing and observability to prove the number is right and the evals that catch the model quoting the wrong one. You'll Probably Have Built production systems from scratch, writing the code yourself rather than configuring managed services. You think about interfaces, failure modes and how the next person will change your code. If we ask about the hardest system you've built, you'll have a story ready. Served data to an LLM and seen where it goes wrong: ambiguous definitions, poor retrieval, no evals. You know why "the model will work it out" isn't a data strategy. Worked with data along the way, and liked it. You may never have been called a data engineer. You've built things that move, shape and serve data, and you know how they break, and how a model breaks on top of them. Solid C#, Python or another backend language. Your code comes with tests, and you leave things tidier than you found them. Depth in at least one of SQL, Spark, Databricks/Delta Lake, Dagster/Airflow/Temporal or dbt. Bonus if you've shaped any of them into something a model can query, through a metrics layer, metric views or an MCP server. Time with CI/CD, Docker, cloud infrastructure (we're on Azure) and observability. Even better if you set them up for a team. An interest in the business behind the data. If someone asks for a number the data can't support, you'll say so, and you'll build the guard-rail so the model says so too. Treated your own workflow as something to engineer. AI has already taken over the repetitive parts of it, and you're the person others ask how to do the same. How We Work We're a small team with plenty to do. Things move fast: we'd rather ship something useful and improve it than polish it in private. What you build is yours from start to finish. There's no return-to-office mandate, and you can work hybrid or fully remote. We trust you to be around when the team needs you and to deliver what you said you would. What we don't want is anyone staying online late to prove a point. Compensation: £95K – £120K • Offers Equity • £95K – £120K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers' financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. The Role We're building the Advisory Intelligence Platform: Codat's client intelligence delivered inside the assistant a banker already uses (Microsoft Copilot first). Ask it anything about a client and it answers from the client's real books. Don't ask, and it still tells you what's changed, why it matters and what to do about it. Under it we're building the semantic layer, so every answer uses the same definitions, the signal layer that spots what's changed for a client, and the reasoning layer, a Codat-side LLM that turns those signals into advice. The first bank goes live this year. You'll be building the data and reasoning behind all of it. This is a hands-on job for software engineers who want to build the systems a model reasons over, not configure a warehouse. Codat is AI-first, not AI bolted onto SaaS. The product lives inside the AI assistant our clients already use, and we build it the same way: agents do the repetitive work, engineers do the hard parts. You'll build it and you'll run it. Nobody hands it over the wall once it's live. You'll also get a real say in where it goes next. That means making your case to engineers, product and the commercial team, and bringing them along with you. What You'll Work On The semantic layer. Measures, dimensions and definitions the model is allowed to use, so every answer it gives is the same answer. Yours to grow, persona by persona. The signal layer. Detecting what's changed for a client and surfacing it before the banker asks. You'll be designing and building this. The reasoning layer. A Codat-side LLM that turns signals into advice. Our calculations are the ground truth it reasons over. You own the calculations the model relies on, and the names, definitions and structure that let it pick the right one. The agents and MCP (Model Context Protocol) servers behind the assistant. What tools it has, how they're built, how they fail, and the evals that prove they work. Everything from raw source data to the number the assistant quotes: the pipelines, services and data models, with the testing and observability to prove the number is right and the evals that catch the model quoting the wrong one. You'll Probably Have Built production systems from scratch, writing the code yourself rather than configuring managed services. You think about interfaces, failure modes and how the next person will change your code. If we ask about the hardest system you've built, you'll have a story ready. Served data to an LLM and seen where it goes wrong: ambiguous definitions, poor retrieval, no evals. You know why "the model will work it out" isn't a data strategy. Worked with data along the way, and liked it. You may never have been called a data engineer. You've built things that move, shape and serve data, and you know how they break, and how a model breaks on top of them. Solid C#, Python or another backend language. Your code comes with tests, and you leave things tidier than you found them. Depth in at least one of SQL, Spark, Databricks/Delta Lake, Dagster/Airflow/Temporal or dbt. Bonus if you've shaped any of them into something a model can query, through a metrics layer, metric views or an MCP server. Time with CI/CD, Docker, cloud infrastructure (we're on Azure) and observability. Even better if you set them up for a team. An interest in the business behind the data. If someone asks for a number the data can't support, you'll say so, and you'll build the guard-rail so the model says so too. Treated your own workflow as something to engineer. AI has already taken over the repetitive parts of it, and you're the person others ask how to do the same. How We Work We're a small team with plenty to do. Things move fast: we'd rather ship something useful and improve it than polish it in private. What you build is yours from start to finish. There's no return-to-office mandate, and you can work hybrid or fully remote. We trust you to be around when the team needs you and to deliver what you said you would. What we don't want is anyone staying online late to prove a point. Compensation: £90K – £110K • Offers Equity • £90K – £110K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Software Engineer Location: Belfast Contract: Full time, Permanent EverQuote is seeking a forward thinking Software Engineer to join our market-leading insurance lead amplification platform! As a Software Engineer, you will be at the heart of a platform that connects millions of American home and auto insurance customers to major and regional providers. You will be instrumental in the design and delivery of our main public facing platform and the sophisticated supporting tools that power it. Joining a highly capable, motivated, and fully empowered team, you will work in a fast moving, Agile, and data led environment where a "test and learn" mentality and A/B testing are core to our success. You will shine as a mentor, providing technical insight while being empowered to innovate in both solution delivery and developer productivity. Agent First & Innovation Led: We are an Agent First organization. You will be responsible for pioneering agentic workflows within our SDLC, leveraging Anthropic Claude to boost developer productivity. Our team is committed to cutting edge innovation, leveraging Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and advanced analytics data aggregation to drive system feedback and continuous improvement. Who You Are: Humble, Hungry, Smart ​​What You'll Be Doing: Architect and deliver high impact features for our main public facing insurance marketplace and internal toolsets. Drive innovation in UX and implement advanced AI patterns including RAG and MCP to enhance platform intelligence. Coach and mentor junior engineers within the team and organisation. Champion our Agent First philosophy by driving agentic enablement across our development lifecycle. Utilize analytics data aggregation to create feedback loops for continuous system and process improvement. Proactively engage with cross functional stakeholders including Product Managers and Architecture team. Essential Criteria: A third level degree in an Information Technology or Computer Science related field. You will have 2+ years of professional programming experience including experience at a software product company. You have experience in the following disciplines; supporting cloud platforms at scale (AWS), working with infrastructure as code. Hands-on Back-End Experience. You are proficient in Typescript. You are experienced in continuous integration and deployment tools. Desirable Criteria: You have a security-first approach with a strong focus on secure delivery of application software and cloud infrastructure. You have experience with container based solutions such as Docker, Kubernetes. You are proficient in deploying infrastructure as code. UI development experience (e.g. React). Engineering systems/applications at scale. Serverless architectures. Continuous integration and deployment tools. Container orchestration environments (preferably Kubernetes) and observability platforms. Everquote offers a competitive salary and total compensation package including bonus and a comprehensive range of health and wellbeing benefits. Statement on Fair Employment and Equal Opportunities EverQuote NI is committed to ensuring equal opportunity for all job applicants and employees. We will not discriminate on the grounds of religious belief, political opinion, race, gender (including gender reassignment), sexual orientation, marital or civil partnership status, pregnancy or maternity, age, or disability. As a registered employer in Northern Ireland, EverQuote NI complies with the Fair Employment and Treatment (Northern Ireland) Order 1998. As part of the application process, you will be asked to complete a fair employment monitoring form; this information is used solely for monitoring purposes and does not form part of the shortlisting or selection decision. EverQuote NI carries out background checks on all candidates offered a position. A criminal record will not automatically disqualify you from working with EverQuote NI Limited; each case is considered on its individual merits in line with our fair recruitment practices. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any reasonable adjustments or accommodations at any stage of the interview process, please let us know and we will work with you to arrange them. For more information, visit https://investors.everquote.com and follow on LinkedIn . Find more English Speaking Jobs in United Kingdom on Arbeitnow