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About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You'll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system. In this position, you will be responsible for: Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation. We expect you to have: 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). It would be a plus if you have: Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking. Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads). Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication. Background in Software-Defined Networking (SDN) and experience with HPC cluster networking . Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow , and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We offer competitive salaries ranging from $170k-$300k + equity based on your experience. We conduct coding interviews as part of the process. #LI-LH2 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find more English Speaking Jobs in Netherlands on Arbeitnow

Kurzbeschrieb Du bist leidenschaftlicher Softwareentwickler und verfügst über solide Engineering Qualitäten. Zusammen mit deinen Teamkolleginnen und -kollegen analysierst, konzeptionierst und entwickelst du neue Funktionalitäten auf der Basis von aktuellen Technologiestandards. Bestehende Softwarekomponenten werden durch dich gewartet, ausgebaut und modernisiert. Du fühlst dich im Backend, Frontend sowie allenfalls auch im Web gleichermassen zu Hause. Pensum 80 bis 100 % Arbeitsort Baden-Dättwil / Homeoffice Eintritt per sofort oder nach Vereinbarung Deine Aufgaben Du übernimmst die Verantwortung für Kern Komponenten (Bsp. Workflow Engine), entwickelst diese weiter und stellst deren zuverlässigen Betrieb und die Integration in unsere Applikationen sicher Du entwickelst Features und Storys im Frontend sowie auch im Backend - beginnend beim Design bis zur Produktivsetzung Du arbeitest eng mit Product Owner und Tester:Innen zusammen, um nutzerfreundliche und performante Features für unsere bestehenden und neue Applikationen zu realisieren Du sicherst die Code-Qualität, Testbarkeit und Wartbarkeit durch Clean Code, automatisierte Tests und Code Reviews Das zeichnet dich persönlich aus Abgeschlossenes Informatikstudium FH/ETH oder gleichwertige Ausbildung mit mehrjähriger Berufserfahrung in der agilen Software-Entwicklung Du hast fundierten Kenntnissen in Java Technologien und verfügst über Erfahrung in der Entwicklung und Weiterentwicklung von Workflow-Lösungen Starkes Knowhow in den Themen: Architektur, Design-Patterns sowie modernen Software-Engineering Praktiken (Scrum, Clean Code, Clean Architecture...) Fundierte Kenntnisse im Bereich von Containerisierung, Cloud Technologien und DevOps Von Vorteil Kenntnisse im Bereich von Web-Applikation (Angular) im Java Umfeld Teamplayer mit guten Kommunikations- und Organisationsfähigkeiten Fachliches Know-how im Bereich BVG ist von Vorteil aber kein Muss Darauf kannst du dich freuen Auf dich wartet ein motiviertes Entwicklungsteam in einem stark wachsenden und dynamischen Unternehmen. Die aXenta AG offeriert dir den Freiraum für selbstständiges und kreatives Wirken in einem sehr kollegialen Umfeld, überdurchschnittliche Sozialleistungen, 27 Tage Ferien und ein attraktives Vergütungsmodell. Die fachliche und persönliche Weiterentwicklung der Mitarbeitenden ist ein wichtiges Anliegen und wird entsprechend gefördert. Bewerbungseingang Bereit für den nächsten Schritt? Dann freuen wir uns auf deine elektronische Bewerbung. Wir bevorzugen Direktbewerbungen. Find Jobs in Switzerland on Arbeitnow

About Rivia Rivia is a technology company building a data engine that powers the future of clinical trial intelligence. Rivia was founded on the belief that new drugs can be brought to market more successfully with a fraction of today's capital. Biotechs are the source of most therapeutic innovation, yet clinical development is constantly constrained by fragmented data and outdated tooling. Rivia unifies clinical trial data at scale through a core engine built as a reusable intelligence layer, comprising hundreds of configurations and trial-specific logic, independent of source structure. This vertical stack of data engine, workflows, and agents creates a distinct advantage in how trials are operated. Over the past two years, European and US based biotechs running global clinical trials on Rivia have demonstrated measurable impact, from earlier understanding of therapeutic potential to significantly more efficient trial execution. In March 2026, Rivia raised its $15M Series A led by Earlybird Venture Capital. Rivia's ambition is to become the standard infrastructure for modern drug development, transforming how trials are executed end-to-end. About AI Engineering at Rivia Given the highly complex nature of clinical trials and how they interface with our technology, the AI Engineering team at Rivia is pivotal in ensuring our clients achieve their desired outcomes and derive maximum value from our platform. The team designs and operates agentic, production-grade AI workflows that power critical monitoring, data quality, and insight-generation capabilities for clinical trial stakeholders.​ By building reliable, auditable, and scalable AI systems, AI Engineering helps transform fragmented clinical data into actionable intelligence and positions Rivia as the AI-first platform for clinical trial intelligence. The Role As a Senior AI Engineer at Rivia, you will architect and ship high-impact AI workflows that materially improve how clinical trial teams monitor studies, assess data quality, and make operational decisions.​ You will work as a key technical contributor embedded in product initiatives, owning AI features end-to-end from design and evaluation through to deployment, observability, and continuous improvement.​ The ideal candidate is a product-minded engineer who combines deep LLM and agentic systems expertise with strong software engineering skills, a bias to action, and a passion for turning cutting-edge AI into reliable, commercially impactful products in a complex, regulated domain. What excites you Being part of a collaborative startup where you can make a direct impact on the product, the business, and the team. Working in a fast-paced environment where you can leverage your AI engineering expertise to solve complex, real-world problems in clinical trials. Building AI systems that customers rely on for critical decisions, where trust, traceability, and auditability are essential. Owning outcomes end-to-end, driving clarity, momentum, and quality without heavy oversight, and continuously learning and experimenting in the rapidly evolving LLM landscape. Responsibilities Architect and ship production-grade agentic AI workflows, including tool use, orchestration, planning, memory, and structured outputs, for clinical trial intelligence use cases. Translate user workflows and product requirements into pragmatic, measurable AI solutions that work reliably in production and optimize for user and business value. Design and maintain evaluation pipelines, including gold sets, metrics, and experiments, and use them to drive iteration with rigor. Implement robust LLMOps practices, including tracing, monitoring, cost and latency management, safe deployment, and continuous improvement of AI systems in production. Design high-quality retrieval and context pipelines with strong guarantees on correctness, provenance, and auditability, particularly in regulated environments such as clinical trials. Collaborate closely with Engineering, Product, Design, Sales, and Customer teams to ensure AI features are usable, trusted, and commercially impactful. Stay deeply current with the LLM ecosystem, actively experiment with new models and tools, and translate innovation into practical product advantage. What Excites us Product mindset, with a demonstrated ability to translate user workflows into pragmatic, measurable AI solutions that work reliably in production Deep familiarity with the current LLM ecosystem and active experimentation with new models, tools, and techniques. Proven experience building and shipping production-grade AI or agentic systems, ideally in high-stakes or complex domains. Strong software engineering skills and comfort owning systems end-to-end, from design to deployment and maintenance. Experience going from 0→1 at a VC-backed startup or similarly fast-paced environment. Hiring Process Our hiring process takes 2-5 weeks over four distinct stages: Meet and greet: 30-minute call with the HR team to get to know each other. This is an informal chat. Technical Screening: 60-minute interview to delve into high-level technical concepts and your problem-solving approaches. Coding Interview: 60 mins with the team to assess your coding skills. Meet the team: 3-4 hours. Join us at our Zürich office for a visit that includes a team lunch and an in-depth technical interview to explore our mutual fit. Our Values At Rivia, we are committed to excellence, continuous learning, and the success of both our customers and our team. If you are driven to exceed targets, eager to shape the future of clinical trials, and passionate about making a meaningful difference in the biotech industry, Rivia is the place for you. In it to Win it: Approach every challenge with determination, resilience, and a drive, aiming for the best outcomes and solutions. Embrace change: We see change as an opportunity for growth, innovation, and improvement, continuously evolving to stay one step ahead Why not?: Asking why not, instead of why, allows us to show our curiosity, allowing us to challenge assumptions and explore new possibilities. Find the gap: We are curious and we proactively approach identifying opportunities and solving problems before they arise. Collective accountability: We are one team, on one mission and we are committed to shared responsibilities and mutual support, enabling trust and collaboration. Value add solutions: Know better. Act better. We are dedicated to delivering meaningful and impactful results. 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🧡 About Alma At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 400+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started! 👐 About the team You will join the Checkout Experience squad within Alma's Consumer Tribe, reporting to Tetiana , Group Product Manager. The squad is composed of an Engineering Manager and several Software Engineers, and works on key parts of Alma's consumer checkout experience across online and in-store journeys. As a Senior Product Manager, you will join as an individual contributor and take ownership of strategic product topics spanning checkout conversion, account creation and identity verification. You will work at the intersection of consumer experience, merchant needs, business performance and regulatory requirements. This position is a permanent contract (CDI) based in Paris with a hybrid working model. 💼 About the job Make checkout simpler and more effective: Own and improve Alma's checkout experience across e-commerce and in-store journeys, reducing friction and supporting conversion. Turn complexity into trusted experiences: Own account creation and identity verification journeys, integrating KYC and CCD2 requirements into clear and seamless customer flows. Test, learn and repeat: Use funnel analysis, customer insights and experimentation to identify opportunities, measure impact and continuously improve the product. Make it happen together: Work with cross-functional stakeholders to prioritize the roadmap and balance consumer, merchant, business, risk and compliance needs. 🧰 You will work with Slack for day-to-day cross-functional communication Notion for product documentation, briefs and roadmaps Linear for backlog and delivery tracking Figma for product design Metabase and Looker for data analytics 🧩 About you To succeed in this job You have proven experience as a Product Manager working on checkout, e-commerce, payments or another high-volume consumer transaction experience. You understand conversion funnels and experimentation, and are comfortable using data to identify opportunities, define success metrics and prioritize initiatives. You can turn complex customer needs, business constraints and regulatory requirements into simple, intuitive product experiences. You demonstrate strong ownership, structured problem-solving and effective cross-functional collaboration, while using AI tools to improve your product work. And it will be nice if you... Have experience with account creation, identity verification, authentication, KYC or fraud prevention. Have built products in regulated environments, ideally within payments, BNPL, lending, consumer finance or another financial services context. Have worked on in-store, POS or omnichannel experiences. Have experience with European markets or an interest in emerging purchase journeys, including agentic commerce and AI-assisted transactions. Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience. 🧘 What's in it for you If you join, you will be able to grow and impact on: Drive measurable impact on Alma's checkout conversion across both e-commerce and in-store experiences. Own a strategic product scope at the intersection of checkout, payments, identity and regulation. Help shape the future of checkout, including new purchase journeys initiated by AI agents and LLM assistants. 🤑 Compensation & benefits Competitive salary based on 12 months Profit-sharing and employee savings plan Health insurance: 100% covered by Alma including family package Disability insurance: 100% covered by Alma Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) Meal vouchers: €10/day, 50% covered by Alma Mental health: free access to MindDay platform Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) Access to our Learning & Development Platform 2 weeks of full remote possible per year in summer 🎯 Interview Process Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. Case study presentation with 2 team members (ideally in house) to assess your practical knowledge. A coffee chat to further assess your skills and team fit. References check. 🌍 Diversity & Inclusion At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs. Find more English Speaking Jobs in France on Arbeitnow

Deine Rolle bei uns Als Head of Software Engineering (m/w/d) schaffst du die Rahmenbedingungen für exzellente Software Entwicklung. Du verantwortest die Weiterentwicklung unserer technischen Organisation, förderst technische Standards und entwickelst unsere Teams und Kompetenzen gezielt weiter. Dabei stellst du sicher, dass wir unseren Kunden qualitativ hochwertige, wirtschaftliche und zukunftsfähige Softwarelösungen liefern und unsere technischen Kompetenzen kontinuierlich weiterentwickeln. Aufgaben Du entwickelst die strategische Ausrichtung unserer technischen Organisation weiter und gibst unseren Engineering-Kompetenzen eine klare Richtung. Du stärkst unsere internen Softwareentwicklungs-, Architektur-, Cloud- und DevOps-Communities und entwickelst diese gezielt weiter. Du etablierst technische Standards und Best Practices, die Qualität, Skalierbarkeit und nachhaltige Softwareentwicklung fördern. Du schaffst Rahmenbedingungen, in denen unsere technischen Mitarbeitenden Verantwortung übernehmen, voneinander lernen und wachsen können. Du erkennst relevante Technologietrends frühzeitig und übersetzt sie in konkrete Mehrwerte für unsere Organisation und Kunden. Du arbeitest eng mit Management und technischen Expert:innen zusammen, um die Zukunft unserer technischen Organisation aktiv zu gestalten. Du sorgst für die richtige Balance zwischen technischer Exzellenz, Kundennutzen und Wirtschaftlichkeit. Qualifikation Du bringst ein breites technisches Verständnis mit und verstehst Architektur-, Qualitäts- und Technologieentscheidungen ausreichend tief, um die richtigen Fragen zu stellen und technische Teams wirksam auszurichten. Du hast bereits technische Teams oder Führungskräfte erfolgreich durch Wachstum und Veränderung geführt. Du schaffst es, unterschiedliche Interessen zusammenzubringen und Organisationen auf gemeinsame Ziele auszurichten. Du kommunizierst klar, triffst Entscheidungen und schaffst auch in anspruchsvollen Situationen Orientierung. Du verstehst Führung als Befähigung und förderst Eigenverantwortung sowie Ownership. Du behältst Kundennutzen, technische Qualität und Wirtschaftlichkeit gleichermaßen im Blick. Idealerweise kennst du die Anforderungen einer IT-Beratung oder eines projektorientierten Softwareentwicklungsumfelds. Du verfügst über sehr gute Deutschkenntnisse in Wort und Schrift (mind. C1). Benefits Flexible Arbeitszeiten und die Möglichkeit remote zu arbeiten Entwicklungsmöglichkeiten inkl. Übernahme von Weiterbildungskosten Flache Hierarchien und kurze Entscheidungswege Individuelle Entfaltung und ein respektvolles Miteinander Offene Unternehmenskultur, angenehme Arbeitsatmosphäre & regelmäßige Teamevents Langfristige Perspektiven, betriebliche Altersvorsorge & Krankenversicherung Mehr Work-Life-Balance durch eine Kooperation mit unserem Partner voiio Wahlweise Zuschuss zu Urban Sports Mitgliedschaft oder BVG-Ticket Inanspruchnahme von Rabatten über unseren Partner Corporate Benefits Find Jobs in France on Arbeitnow

Health can't wait . Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that's exactly how healthcare works today. You wait, until you can't. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it's coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It's not solely a question of willpower. It's the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture . We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. Mission Alan is scaling internationally (800+ employees, 100+ healthcare professionals, 5+ countries) and needs IT Engineers to build and own the internal technology platform every Alaner works on: identity and provisioning, endpoint and SaaS security, the tooling behind our clinics, and the automation that keeps IT from scaling linearly with headcount. The scope below is what the team owns, not a checklist for one person. You'll be staffed on one or two of these areas at a time, according to your strengths and interests, and it will evolve through time based on company needs and personal appetite. Staying close to users keeps us building the right things: you'll spend up to one day a week on IT support, seeing first-hand where friction lives and what's worth automating next. Scope ⚙️ Platform & automation Own and extend automations on Alan Home, our internal provisioning engine Maintain, extend and improve helpdesk automation, SaaS provisioning flows, and onboarding/offboarding pipelines Own the meeting room AV and room-booking platform as a product, replicable across offices 🔑 Identity & access Own the IT side of the employee lifecycle (onboarding, offboarding, mobility between jobs and countries) across Google Workspace, SSO/SAML and our SaaS ecosystem. Grow our role-based access model: extend it to more tools and refine the permission groups, so access is granted by role rather than case by case Make employee lifecycle events reliable, fast and auditable end-to-end Own access reviews and least-privilege models; produce and maintain the evidence our auditors rely on Own SaaS procurement and license management: vendor relationships, renewals, and cost optimization across our stack 🔒 Endpoint & SaaS security Own the Mac fleet in Kandji: enrollment at scale, role-based blueprints, fleet compliance Cloudflare WARP, SaaS security controls Maintain and strengthen our ISO 27001 certification and drive ACPR and pentest remediation on the endpoint and platform scope 🩺 Health Professionals IT The IT layer behind Alan's clinics: practitioner tooling, equipment, access Role and permission automation for healthcare professionals, and their support and escalation process 🌍 Internationalisation Make international expansion something IT accelerates, not something it slows down: a repeatable process where every new market (Canada, KSA, Armenia...) launches on our standard stack from day one Bring acquired entities onto that same platform Milestones First 3 months Acquire technical knowledge on Alan's platform: Alan Home, Google Workspace/SSO, Kandji, Cloudflare WARP Take one project end-to-end and ship a first increment Join the IT oncall team as technical escalation First 6 months Own a workstream end-to-end Deliver one automation or hardening initiative end-to-end Take up documentation and automation on your scope and reduce significantly the bus factor on it Mentor IT teammates on your core expertise First year Deliver measurable IT toil reduction on your scope Set the technical standards on your domain: how we build, document and review it Build strong cross-functional partnerships (Engineering, Security, Workplace, Clinic, People, Audit) Contribute to hiring and onboarding new teammates 3 years Lead major projects end-to-end across several communities Be the reference the team relies on across at least two domains Mentor the IT team and beyond, and scale IT without a linear increase in manual work As the community grows, there is room to take on more responsibility: leading a crew, owning cross-community projects, mentoring, hiring. What we're looking for Must-have - Technical/hard skills: 3+ years in IT engineering, platform, systems or corporate engineering , with real ownership of production-facing systems Depth in at least one area (platform & automation, identity, endpoint & security) and demonstrated range beyond it. You write code: not as a full-time software engineer, but Python, APIs and pull requests in a shared repo should feel normal Structured problem-solving: diagnoses methodically, asks the right clarifying questions, thinks about failure modes and rollback Comfort with regulated environments: health data, ACPR, ISO 27001, HDS Automation & AI appetite : uses AI tools smartly to accelerate their own delivery, with an instinct for what should be automated or delegated to AI rather than repeated Must-have - Behavioral / soft skills: Ownership & autonomy: drives topics forward without hand-holding, including when they cross into someone else's perimeter Written communication: Alan is written-first; decisions get argued in public documents and challenged by people outside your team Pragmatic judgment: balances "perfect" vs. "good enough", decides with incomplete information Documentation culture: reduces bus factor through clear documentation and knowledge sharing Nice-to-have skills / Bonus points if you have: Experience with an internal provisioning or IdP-driven automation platform Kandji or another MDM at scale Cloudflare Zero Trust / WARP, Datadog Audit remediation experience (ISO 27001, HDS) Multi-country rollouts, or IT integration after an acquisition Having mentored, coached or led a (small) crew Health or healthtech ecosystem familiarity Languages: Fluent English & Professional French Compensation: €53K – €70K • €26K – €67K Equity • Level B1 - C1 €53K – €70K • €26K – €67K Equity Find Jobs in France on Arbeitnow

About The Opportunity We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches. Note this is a remote, freelance opportunity What You'll Deliver Task Engineering: Evaluating Coding Agents. Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling. Prompting & Translation: finding failure points where AI does not work, in your native language Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary). Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus). Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity. Qualifications Experience: 1+ years of industry experience in software engineering. Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities. Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency. Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing. Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents. Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including: Encoding/decoding robustness and Unicode normalization. Locale-dependent conventions (collation, casing, non-Gregorian dates). Text I/O, toolchain interoperability, and safe string operations. (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts. Why Collaborate with Lilt? Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. Work on projects that actually matter . Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. What to Consider Before Applying Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit. Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. How to join our expert community 1 - Submit your application including an updated copy of your CV in English 2 - Next, complete a GenAI assessment to evaluate your skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at ----- style="min-height:1.5em"> LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual's race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Find more English Speaking Jobs in France on Arbeitnow

About Orakl Oncology At Orakl Oncology, we are accelerating the development of oncology treatments. Today, fewer than 5% of new cancer drugs succeed in clinical trials. Clearly, new methods are needed. We combine cutting-edge biology and AI to build the next generation of insight platforms with the world's largest cohort of patient tumor avatars. These avatars fuel our AI-powered predictive engine , helping to anticipate clinical trial outcomes, validate therapies, and uncover new drug candidates. By generating multimodal, real-world data, we deliver insights that consistently outperform existing solutions. Our mission is simple yet ambitious: to bring more effective treatments to patients who need them and to make drug development smarter, faster, and more personalized. We collaborate with top hospitals, research institutes, and pharmaceutical companies worldwide. Backed by leading investors, we are a fast-growing, mission-driven startup at the intersection of science and technology. The role We are looking for a curious engineering mind to lead the scaling of Orakl's omics data within the Computational Biology team. Every organoid grown in our lab is sequenced (WGS and RNA-seq). Our pipelines turn the raw reads into processed molecular profiles, and our models turn those profiles into clinical trial predictions, patient segments and new target candidates. Your mission will be to make omics data available to computational biologists and research engineers in a form they can build on. You will gather their needs and, in coordination with the Data & Infra team, design the data representations, storage layouts and access patterns that make model training and experimentation fast and reproducible. As our biobank expands, this will become a massive omics corpus that must efficiently serve client contracts, strategic partnerships and internal R&D projects. Starting from processed omics data, you will assess how it is stored and served today, propose solutions to scale it, and drive their implementation, so our scientists and models can rely on it. You will build this hand in hand with our data engineering team, keeping our omics infrastructure consistent with the rest of the company's stack. You will report to the Head of Computational Biology. Experience with omics data is a strong plus, not a prerequisite. If you come from the conventional tabular data world and want to master data that is massive, multi-layered and regularly reprocessed, this role is built for you. What you will do Design and build the omics data architecture. Together with our data engineering team, define and evolve how omics data is stored as the corpus grows: what lives in a database, what stays in columnar files on S3, and how it all fits the company's stack. Guarantee reliable ingestion. Make sure every new batch of processed omics data (variant calls, expression, CNV, QC metrics, sample and sequencing tracking) lands reliably and consistently with our data model definition. Build and maintain the omics data model. Maintain a curated reference layer as the single source of truth, keep model-ready datasets derived from it separate, and track lineage between the two so every model input can be traced back to its source. Make the data easy to use. Build and evolve the access layer so scientists and models get what they need for client contracts, strategic partnerships and internal R&D, without writing joins or asking someone. What you bring Must-haves 4+ years as a data engineer, with ingestion pipelines you built running in production. Master's in Computer Science, Software Engineering, Data Engineering (or equivalent experience) Hands-on experience setting up and maintaining CI/CD for data pipelines and code libraries. Strong data modeling experience: you have designed schemas that handle evolving identifiers, versioning and lineage. Deep relational database expertise: schema design, partitioning, indexing, query plans, migrations on a live database. Deep cloud infrastructure skills: AWS (S3 and core services), infrastructure as code (Terraform or equivalent) and containers (Docker), with sound judgment on what belongs in a database and what stays in files. Strong experience in Python and SQL; comfortable with Git, CI and the command line. You can propose architecture choices, defend them and converge with engineering peers. A real drive to understand omics, including how our data is processed, so you can step in for our Senior Bioinformatician when they are away. Nice-to-haves Omics experience: you have loaded VCF/MAF files or expression matrices. Familiarity with Nextflow / nf-core pipelines. Columnar formats and engines (Parquet, Arrow, DuckDB) and an orchestrator (Dagster, Airflow, Prefect). Metabase or another BI layer on top of a relational database. LIMS or biobank sample-tracking integration. A tech-bio background, or prior work next to bioinformaticians. What we offer Mission: work in a cutting-edge environment, on the forefront of cancer research. Role: be the engineer behind the data backbone of a distinctive oncology discovery platform — designing, with our data engineering team, how one of the world's rarest PDO multi-omics and functional datasets is stored, served and scaled, so that scientists and models can build on it every day. Impact: take ownership of a critical piece of an early-stage, fast-moving company, with the opportunity to shape it; your engineering decisions will carry through to our science and, ultimately, to patient outcomes. Team: join a collaborative, multidisciplinary team where you'll work alongside stellar clinicians, biologists, and engineers towards a common mission. Interview Process Hiring Manager Call: Getting to know each other, aligning on expectations and context. Technical Deep Dive: A deep conversation on your experience with production data pipelines, data modeling, and scientific data processing. Technical Case: A system-design and problem-solving exercise representative of the real wet-lab data challenges you'll face at Orakl. Reference Call: A conversation with one or two people you've worked with closely. Founder Interview: A final discussion with our founders on vision, culture fit, and mutual ambitions. 👉 More about Orakl here and here Find more English Speaking Jobs in France on Arbeitnow

About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full. How you'll make impact The Founders' Lab turns ambitious, high-level concepts into functional software and new product lines. You'll work across product and engineering to validate ideas quickly, build practical solutions, and establish the foundations for products that can scale within Airwallex. Partner directly with the CEO and global leadership to translate strategic visions and emerging AI capabilities into functional, market-ready software. Lead the technical evaluation and implementation of fintech AI technologies and intelligent workflows, identifying how they can best serve Airwallex's financial platform. Make pragmatic architectural decisions by prototyping quickly to validate ideas, then structuring successful solutions so they can be handed off and scaled. Own delivery across the stack, steering backend architecture and systems design while building complete solutions from data models through to user interfaces. Establish the technical foundations for successful incubation projects and help transition them into standalone product lines within Airwallex. You'll work from our London office with a hybrid working model. What we're looking for Essentials 10+ years of software engineering experience, including operating at Staff level or leading technical direction in greenfield environments. Strong product sense: you look at engineering through a commercial lens and care about user experience, business impact, and why a product is being built—not just the code itself. Comfort with ambiguity: you enjoy working where requirements aren't fully defined and can independently map technical specifications from high-level direction. A pragmatic, resourceful, and self-directed approach to solving problems and working through technical or institutional blockers. Deep backend and full-stack capabilities, with solid fundamentals in high-performance backend ecosystems and the practical ability to build frontend interfaces when moving quickly. Clear communication skills, with the ability to discuss deep technical trade-offs with core infrastructure teams and present simplified product outcomes to executive stakeholders. Preferred Experience building software that leverages Generative AI, LLMs, or automated agent workflows. Experience in fintech, payments, multi-currency ledgering, or regulated financial systems. Prior experience as a founding engineer, technical lead of an R&D team, or technical co-founder. You'll thrive here if You're comfortable owning the roadmap yourself. You own the outcome and you don't wait for permission to fix what's broken. You're comfortable making decisions with incomplete information and moving quickly anyway. You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it. You default to action. You'd rather course-correct in motion than wait for perfect clarity. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @ airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. Compensation: £95,796 – £177,907 • Offers Equity • Offers Bonus • Base Salary £95,796 – £177,907 • Offers Equity • Offers Bonus Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. Our ideal candidate could have 6+ years' experience. This is a unique opportunity to accelerate your development, working with an experienced and collaborative team and gaining exposure to a broad range of disciplines. At Fractile, we value ideas from everyone, regardless of title or tenure, and we believe the best engineering happens when people share, question, and learn together. You'll be joining a culture where your curiosity is encouraged, your input matters, and there's real room to grow. As a Silicon Verification Engineer, you will be based in either our Bristol or London office in the UK. We are looking for you to take an active role in building world-class ML/AI IC products for scale-out to data centre applications. You will be ambitious and have a proven track record in working in high-performance delivery organisations in the discipline of pre-silicon RTL verification. We are looking for someone who is passionate about verification – not someone content to go through the motions, but rather looking to push the field further forwards. If you get excited about bringing software concepts to hardware workflows, and enjoy improving established practices to increase tape-out quality and bring down costs, then this is the role for you. Our preferred candidate will be comfortable working alongside colleagues across the organisation from disciplines such as modelling, system architecture and RTL design. You'll be frequently collaborating to ensure our RTL releases are of the highest functional quality, and that the entire company shares the same definition of a functionally correct product. This means contributing to discussions around specification, architecture and the workflows surrounding them. You'll be a key contributor to our highly disruptive and ambitious product. We look for engineers with the following mindset: Software mindset for solving hardware problems The desire to be in a high impact role in a small team A disrupter of the "status quo" of hardware development Eagerness to contribute to and improve working practices and help build connections between hardware and software teams Detail-focused, with rigour as the baseline for all work Humility, desire to learn Happy to be part of a fast-paced, open and collaborative environment Required skills and experience: Strong software skills Python (or another object oriented language e.g C++) Understanding of digital hardware concepts Ability to read and debug RTL in SystemVerilog Familiarity with debugging waveforms Candidates with a UVM or a strong software background are encouraged to apply even without an RTL background Desirable skills and experience: Pre-silicon RTL verification Verification planning and execution from specification Building testbenches Stimulus creation Functional modelling of hardware blocks Checker creation Coverage definition/closure Transaction-Level Modelling Whether in UVM, SystemC or another methodology SystemVerilog Assertions (SVA) Software fluency in multiple languages Open source tools for silicon development Cocotb (used for all our testbench collateral), Verilator, Icarus Verilog Commercial EDA tools Formal verification Working in a monorepo environment alongside software Bazel is our chosen tool, familiarity is not expected Contributing to architecture discussions How we work Ownership and execution: you will have full agency to drive your work forward Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. We are seeking a highly skilled Senior/Principal Physical Design Engineer to contribute to our next-generation chip designs. As a Physical Design Engineer, you will be responsible for the end-to-end implementation of complex IC physical designs, from synthesis to sign-off, including opportunities for full-chip ownership. You will collaborate with cross-functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability. Key Responsibilities: Drive the physical implementation of ASIC/SoC designs, including floorplanning, placement, clock tree synthesis (CTS), routing, and sign-off, with potential responsibility for full-chip execution. Work on synthesis, timing analysis (STA), and optimisation to achieve the best PPA metrics. Perform power planning and analysis, addressing IR drop, electromigration, and low-power design techniques. Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance. Collaborate with DFT engineers to integrate design-for-test (DFT) structures into the physical implementation. Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others. Interface with foundries and process engineers to ensure manufacturability and yield optimisation. Work closely with RTL and architecture teams to drive design feasibility, constraints, and physical-aware RTL design. Work with advanced AI tools and models to improve productivity, analysis, and design quality. Preferred Qualifications: Bachelor' Master's or PhD in Electrical Engineering, Computer Engineering, or a related field. 8+ years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below). Strong proficiency in EDA tools for place & route, STA, and sign-off. Solid understanding of CMOS technology, semiconductor physics, and process limitations. Experience with low-power design methodologies, power optimisation techniques, and multi-power domain architectures. Expertise in timing closure, signal integrity, IR drop analysis, and formal verification. Proficiency in scripting languages like TCL, Perl, or Python for automation. Excellent problem-solving skills, communication, and teamwork in a collaborative design environment. Experience in high-performance computing (HPC), AI accelerators, or networking chips. Experience or strong interest in leveraging advanced AI tools and models within engineering workflow What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. We are looking for an Engineer to play a key role in the development and manufacture of Fractile's silicon products, with a particular focus on product, yield and manufacturing data analysis. Working across New Product Introduction (NPI), Yield Engineering and Product Quality, you will analyse large and complex semiconductor datasets to identify trends, isolate sources of variation, improve yield and reliability, and provide clear technical insight to engineering teams and manufacturing partners. This is a highly hands-on individual contributor role for someone who enjoys working directly with data, investigating complex technical problems and turning analysis into actionable engineering conclusions. Skills and Experience Demonstrable experience within the semiconductor industry in Product Engineering, Test Engineering, Yield Engineering, Data Analytics or Quality Engineering, ideally spanning NPI through to high-volume production Strong experience analysing semiconductor manufacturing and test data to identify trends, correlations, excursions, yield loss mechanisms and opportunities for improvement Solid experience in as many of the following areas as possible: Wafer fab: analysis of Process Integration, Yield Enhancement, D0 Control, defect reduction and process variation data IC Assembly: Assembly Process or Package Design, 3D IC and wafer stacking, Assembly Quality Control, BOM optimisation and Yield Engineering Fabless Semiconductor: IC Product Qualification, reliability and failure analysis, RMA investigation and production monitoring Strong knowledge of WAT, WS/CP and FT datasets, including correlation across manufacturing and test stages Excellent data mining, statistical analysis and root-cause investigation skills, with the ability to turn complex datasets into clear engineering conclusions Experience identifying yield signatures, parameter distributions, outliers, spatial patterns, lot-to-lot variation and systematic versus random failure mechanisms Extensive hands-on use of semiconductor industry data analysis tools and software such as yieldHUB, Spotfire, JMP or equivalent Ability to create scripts, automated analyses, dashboards and repeatable analytical workflows for standard engineering investigations and reporting Experience applying statistical methods to semiconductor manufacturing data, including SPC, Cp/Cpk, distributions, correlation analysis, hypothesis testing and trend analysis Ability to combine data from multiple sources and manufacturing stages to investigate complex product and process issues Familiarity with FMEA-derived semiconductor qualification plans and relevant standards such as JEDEC Understanding of semiconductor failure analysis methods and the ability to use analytical data to guide selection of destructive and non-destructive investigation techniques Strong ability to communicate analytical findings through concise visualisations, reports and technical presentations Comfortable working independently on ambiguous technical problems and driving investigations from initial data exploration through to a supported conclusion Good communication skills and a collaborative, team-player attitude Self-starter, flexible and able to manage multiple analyses and investigations in parallel Willing and able to travel worldwide when needed Desirable Experience building automated semiconductor yield-monitoring, reporting or anomaly-detection workflows Experience working with large semiconductor datasets using SQL, Python or similar data-analysis tools Experience developing dashboards, standard analytical journals or reusable engineering analysis frameworks Multi-cultural awareness, including experience working with Far East suppliers and manufacturing partners A Bachelor's degree or above in Electronics, Microelectronics, Semiconductor Physics, Engineering or a similar discipline What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find Jobs in United Kingdom on Arbeitnow