Emplois à distance pour les nomades numériques

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. We are looking for more than a standard GAAP researcher; we need a Financial Architect who excels as both an analytical investigator and an operational leader in the role of Senior Manager, Financial Reporting and Technical Accounting . Reporting to the Head of Accounting, you will manage critical workstreams within our financial reporting function during a period of significant institutional scaling. In this Senior Manager leadership role, you will take the lead in directing key accounting policies , manage cross-functional projects, and lead teams (including offshore resources) to ensure strict compliance with U.S. GAAP and regulatory requirements You aren’t just maintaining books - you are building and managing a definitive "source of truth" within a complex, high-volume trading and regulated derivatives environment. This role is a 50/50 split between serving as an advanced technical expert and an operational manager, bridging the gap between cutting-edge trading desks and institutional-grade, regulated financial statements. Key Responsibilities • Operational Leadership & Strategy: Manage technical accounting and reporting workstreams; set clear operational objectives, delegate tasks effectively, and oversee departmental schedules and budgets to ensure flawless execution. • Financial Normalization: Direct the forensic review and reconciliation of complex historical data, leading internal and external resources to ensure a robust, "audit-ready" foundation. • Advanced Technical Research: Act as a core internal authority on ASC 606 and 805, specifically regarding principal vs. agent nuances, M&A integrations, and DeFi yield protocols. • Capital Markets Readiness: Lead the project management and drafting of sophisticated financial disclosures and MD&A for potential registration statements, S-1/F-1 prospectus disclosures, and SEC engagements. • Global Systems Optimization: Design, implement, and monitor SOPs for offshore teams and direct reports, while tightening the integration between our crypto sub-ledgers and NetSuite to improve month-end cadence. Target Experience & Skills • Background: Proven track record transitioning from Big 4 Audit/Technical Desks into Accounting Advisory (e.g., CFGI, FTI, EY, KPMG) or In-House Accounting leadership at a high-growth digital assets firm, FinTech startup, broker-dealer, or Investment Bank. • Regulated Entities Expertise: Direct, hands-on experience handling financial record keeping, regulatory capital computations, and filing frameworks for a CFTC Swap Dealer , Futures Commission Merchant (FCM), or SEC Broker-Dealer. • People & Project Management: Experience managing multiple departments or workstreams, with a proven ability to lead large, high-priority projects and delegate effectively to direct reports or offshore teams. • Reconstructive Mindset: You enjoy the "puzzle" of managing and building legal entity financials from high-volume, unstructured data sources. • Technical Stack: Proficiency in Workiva and NetSuite • Subject Matter Expertise: Direct experience with SEC Pre-clearance, Purchase Accounting (ASC 805), and DeFi Accounting. • Product Diplomacy: The ability to partner cross-functionally with Trading and BizDev teams to assess and operationalize the accounting impact of DeFi yields and "wrapped" assets before they launch. Additional Information • • Flexibility to work across different time zones during crucial periods such as month-end closes. • Ability to thrive under pressure in a fast-paced, dynamic environment. • Commitment to continuous improvement and operational excellence. Compensation: The base pay for this role is expected to be between $157,000 and $199,000 in New York City. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance-linked bonus, equity, and a competitive benefi ts package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications, and the level at which the candidate is hired. IMPORTANT: Recruitment Fraud Alert FalconX has been made aware of fraudulent job postings and "recruiters" misrepresenting …

Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. • Location: Remote • Type: Contract / Part-time • Commitment: 20 hours per week • Compensation: Up to 40 USD / hr • Project duration: 2 months, with potential extension • Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO • Design advanced mathematical problems for frontier AI training and evaluation • Create deterministic problems with exactly one correct answer • Write complete, verified solutions and clearly document the reasoning process • Develop problems that test deep mathematical reasoning, not just memorization • Where relevant, use Python or specialized tools to build computational workflows • Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR • Master’s or PhD in Mathematics or a closely related field • Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics • Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar • Solid grasp of algorithms, numerical methods, and computational approaches • Ability to design original, difficult problems that mirror real mathematical workflows • Excellent attention to detail and technical writing skills in English NICE TO HAVE • Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software • Background in olympiad-level, graduate-level, or research-level problem design • Experience evaluating model reasoning, benchmarking, or technical assessment design

• Location: Remote • Type: Contract / Part-time • Commitment: 20 to 40 hours per week • Compensation: Up to 40 USD / hr • Project duration: 2 months, with potential extension ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Physics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO • Design advanced physics problems for frontier AI training and evaluation • Create deterministic problems with exactly one correct answer • Write complete, verified solutions and clearly document the reasoning process • Develop problems that test deep physical reasoning and multi-step analysis, not just memorization • Where relevant, use Python or specialized tools to build simulations, models, or computational workflows • Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR • Master’s, or PhD in Physics or a closely related field • Strong research or industry experience involving theoretical, experimental, or computational physics • Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar • Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving • Ability to design original, difficult problems that reflect real physics workflows • Excellent attention to detail and technical writing skills in English NICE TO HAVE • Experience with simulation tools or domain-specific physics software (e.g., finite element tools, circuit simulators, symbolic systems) • Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields • Experience evaluating model reasoning, benchmarking, or designing technical assessments

• Location: Remote • Type: Contract / Part-time • Commitment: 20 to 40 hours per week • Compensation: Up to 40 USD / hr • Project duration: 2 months, with potential extension • Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Physics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO • Design advanced physics problems for frontier AI training and evaluation • Create deterministic problems with exactly one correct answer • Write complete, verified solutions and clearly document the reasoning process • Develop problems that test deep physical reasoning and multi-step analysis, not just memorization • Where relevant, use Python or specialized tools to build simulations, models, or computational workflows • Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR • Bachelor's, Master’s, or PhD in Physics or a closely related field • Strong research or industry experience involving theoretical, experimental, or computational physics • Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar • Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving • Ability to design original, difficult problems that reflect real physics workflows • Excellent attention to detail and technical writing skills in English NICE TO HAVE • Experience with simulation tools or domain-specific physics software (e.g., finite element tools, circuit simulators, symbolic systems) • Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields • Experience evaluating model reasoning, benchmarking, or designing technical assessments

ABOUT THE FLEX At The Flex, we’re on a mission to revolutionize how the world rents. We believe finding and staying in a home should be as seamless as buying on Amazon — simple, fast, and borderless. Powered by our proprietary Property Management System (PMS), The Flex enables effortless guest experiences and streamlined operations for property owners across the globe. We’re building a team of A-Players — ambitious, proactive professionals who thrive in fast-paced environments, embrace ownership, and deliver excellence in everything they do. POSITION SUMMARY As a French-Speaking Customer Experience Specialist, you’ll be the voice and heartbeat of The Flex for our guests and landlords. From the first inquiry to the final check-out, you’ll ensure every interaction is smooth, efficient, and memorable. You’ll handle communication, solve problems, and use our in-house technology to deliver world-class service that reflects our commitment to operational excellence and customer delight. This role is perfect for someone empathetic, detail-oriented, and passionate about helping others — someone who takes pride in turning challenges into exceptional experiences. KEY RESPONSIBILITIES Customer Support – Respond promptly and professionally to guest and landlord inquiries via email, chat, and phone — in both French and English. Booking Assistance – Guide guests through the reservation, check-in, and check-out processes using our PMS tools. Problem Solving – Investigate and resolve issues quickly while maintaining a calm, empathetic, solution-focused approach. Knowledge Management – Accurately document interactions, feedback, and resolutions to help improve service quality. Cross-Team Collaboration – Work closely with Operations and Tech to identify recurring issues, propose improvements, and optimize the user experience. Upselling & Retention – Identify opportunities to enhance stays or strengthen long-term relationships with landlords and guests. WHAT WE’RE LOOKING FOR • Fluency in French and English (written and spoken) • Proven experience in customer service, ideally in hospitality, real estate, or tech-enabled platforms • Excellent communication and interpersonal skills — you listen, understand, and make people feel heard • Strong organizational abilities and composure under pressure • Tech-savvy — comfortable using PMS, CRM, and digital support tools • A problem-solving mindset with empathy, patience, and meticulous attention to detail WHY JOIN THE FLEX Be part of the revolution – Help reshape the $4T global rental industry. Work with the best – Join a high-performing, supportive international team. Grow fast – Real career progression opportunities as we expand globally. Earn what you deserve – Competitive compensation plus performance-based incentives. Live flexibly – Remote-first, results-driven culture — work from anywhere. If you’re ready to join a company redefining how people live, move, and rent, we’d love to hear from you. LI-Remote

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer. About the job This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale. You'll work alongside experienced ML practitioners to ship real features - from model pipelines to production inference - that directly shape how businesses understand their customers. Responsibilities In this role, you’ll: • Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability. • Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions • Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs • Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy • Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience • 2+ years of experience in machine learning engineering or applied ML, with demonstrated proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX) and familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy. • Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud-based infrastructure (AWS, GCP, or Azure) • Proficiency in Python (preferred) or similar OO language. • Experience utilizing Large (or Small) Language Models within software systems. • Excellent written and verbal communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. Desired: • Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production context • Exposure to agentic AI frameworks such as LangGraph, AutoGen, CrewAI • Familiarity with MLOps/LLMOps tooling related to maintaining models in production such as testing, versioning, model registry, retraining, and monitoring. Location • This role will be remote from Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, …

Abstract Securing industrial IoT infrastructure is no longer a competitive advantage ; it is a prerequisite for resilient, trustworthy, and sustainable Industry 5.0. Keywords : Industry 5.0, Industrial IoT, Intrusion Detection, Federated Learning, GNN The rapid proliferation of Industrial Internet of Things (IIoT) devices in manufacturing, energy, and logistics environments has dramatically expanded the cyber attack surface of critical industrial infrastructure. These interconnected cyber-physical systems, while enabling new data-driven automation and intelligent services, introduce severe security vulnerabilities: a single compromised sensor or gateway can propagate threats across the entire production network. In such distributed environments, where multiple industrial stakeholders collaborate without sharing sensitive operational data, security, resilience, and data confidentiality become critical prerequisites for the large-scale adoption of Industry 4.0 and 5.0 technologies. This doctoral research addresses a core scientific challenge: the collaborative and privacy-preserving detection of cyberattacks and anomalies in IIoT ecosystems. Although deep learning-based intrusion detection systems (IDS) have shown strong performance, their centralized training paradigm raises critical concerns regarding data sovereignty, scalability, and robustness in heterogeneous industrial deployments. This thesis proposes a distributed detection framework combining federated learning and graph neural networks (GNNs), capable of modeling the structural dependencies between IIoT components while keeping sensitive operational data on-premises at each industrial site. Local detection models are trained at the level of edge nodes or industrial gateways and collaboratively aggregated without sharing raw data, enabling collective threat intelligence while preserving industrial confidentiality. The originality of this work lies in the combined use of federated learning, GNNs, and centrality measures from complex network theory to enhance anomaly detection accuracy, improve robustness in heterogeneous environments, and generalize to novel, unseen attack patterns. Building directly upon prior contributions from the CESI LINEACT team in IoT intrusion detection, federated learning, and graph-based modeling, the proposed framework will be evaluated on realistic IIoT attack scenarios and benchmarked against state-of-the-art methods. The objective is to deliver a generic, distributed, and privacy-preserving methodological building block to strengthen the cybersecurity, operational resilience, and sustainability of future smart industrial systems. Research Work Scientific context The rapid deployment of IIoT devices across manufacturing, smart energy, and logistics sectors has profoundly transformed industrial architectures, giving rise to a new generation of cyber-physical systems (CPS) whose security is critical to operational continuity. Modern IIoT infrastructures embed hundreds of heterogeneous sensors, actuators, and gateways communicating over protocols. The simultaneous growth of remote access interfaces, cloud connectivity, and over-the-air update mechanisms dramatically expands the attack surface of these industrial networks [1, 2]. Network Intrusion Detection Systems (NIDS) have emerged as an essential countermeasure for monitoring IIoT traffic and detecting malicious activity [3]. AI-based NIDS, notably deep learning models, have demonstrated high detection accuracy, but centralizing industrial data on a remote server for training introduces critical scalability, bandwidth, and data sovereignty challenges that are incompatible with real-world industrial deployments [4]. Federated Learning (FL) has been proposed as a solution: each node trains a model locally and only shares model weights with a central aggregator, keeping sensitive data on-premises while enabling collaborative learning at scale [5]. A key limitation of conventional federated approaches is their inability to capture the graph-structured topology inherent to IIoT networks, where devices and communication buses form complex relational graphs. Graph Neural Networks (GNNs) address this gap by modeling nodes and their interactions explicitly. Combined with complex network centrality measures (e.g., degree, betweenness, and modularity-aware centrality), GNNs can identify critical nodes and communication patterns, improving detection accuracy and generalization across heterogeneous industrial deployments [6–9]. This thesis sits at the intersection of federated learning, graph deep learning, and industrial cybersecurity. Subject This thesis proposes the design, implementation, and evaluation of a federated GNN-based intrusion detection framework for Industrial IoT networks (IIoT). Its originality lies in the combination of three complementary dimensions: (i) federated learning specifically adapted to the constraints and heterogeneity of industrial …

Als IT-Dienstleister treiben wir die Digitalisierung des öffentlichen Sektors voran und schaffen echten Mehrwert für Millionen Menschen in Deutschland. Wir können vieles richtig gut, aber eben noch nicht alles. Darum suchen wir immer wieder neue Kolleg:innen, die mit ihren Ideen, ihrem Können und Engagement etwas bewegen wollen. Fühlst du dich angesprochen? Dann gestalte Deine Welt zum Besseren und werde Teil unseres Customer Clusters Finance. DEINE MISSION Als Senior Java Fullstack Developer mit technischem Fokus (m/w/d) unterstützt du ein Großprojekt der zentralen IT-Vorhaben der deutschen Steuerverwaltung. Im Fokus steht ein Verfahren, das die übergreifenden Geschäftsprozesse zwischen verschiedenen Fachverfahren steuert. Deine Aufgaben • Entwicklung performanter Backend-Komponenten auf Basis von Java (17/21) und Spring Boot • Konzeption und Umsetzung von verfahrensübergreifenden Prozessen sowie Integration in bestehende Systemlandschaften • Mitwirkung bei der Entwicklung von Komponenten zur Datenverarbeitung und -transformation innerhalb großer, verteilter Systeme • Abstimmung mit technischen Stakeholdern und Projektteams – überwiegend remote, mit gelegentlichen Vor-Ort-Terminen (ca. 1x pro Monat in Kaarst) • Konzeption von technischen Lösungen zur Überwachung und Steuerung der Anwendung (inkl. UI-nahe Backendversorgung) • Durchführung von Entwicklertests sowie Sicherstellung der Softwarequalität • Pflege, Wartung und kontinuierliche Optimierung bestehender Software-Komponenten • Erstellung technischer Dokumentationen (z. B. Betriebs- und Schnittstellendokumentationen) DAS IST UNS WICHTIG • Mindestens 10 Jahre praktische Erfahrung in der Java-Entwicklung sowie fundierte Kenntnisse moderner Softwarearchitekturen • Sehr gute Kenntnisse in Spring/Spring Boot sowie Erfahrung in der Entwicklung skalierbarer Backend-Systeme • Fundierte Erfahrung im Design von Microservices, verteilten Systemen und hochverfügbaren Architekturen • Praxis in der Entwicklung von Frameworks oder Bibliotheken im Java-Umfeld • Erfahrung mit Camunda (BPMN) und der Modellierung komplexer Geschäftsprozesse • Sehr gute Kenntnisse im Umgang mit Messaging-Technologien (Kafka/AMQ) • Fundierte Kenntnisse in Datenbanken (Oracle, PostgreSQL) sowie ORM (Hibernate/JPA) • Erfahrung mit REST- und SOAP-Schnittstellen, XML/JSON-Verarbeitung sowie gängigen Webservice-Standards • Sicherer Umgang mit Linux-Systemen und grundlegende Shell-Scripting-Kenntnisse • Strukturierte, analytische Arbeitsweise sowie hoher Qualitätsanspruch in der Softwareentwicklung • Erfahrung im öffentlichen Sektor oder in komplexen Enterprise-Umgebungen ist von Vorteil • Sehr gute Deutschkenntnisse in Wort und Schrift (C1-Niveau) DEIN NEUER ARBEITSPLATZ • Was bei uns zählt? Klar definierte Rollen, echtes Miteinander und ein gemeinsames Ziel. Wir nennen das Responsiveness – transparent, wertschätzend und zielorientiert. • Hier bist du am Wandel direkt beteiligt, wenn du möchtest. – Nimm Teil an Projekten, die uns als Unternehmen weiterentwickeln. • Flexible Arbeitszeiten und Remote Work? – Sind selbstverständlich. • Individuelles Hardware-Budget? – Stell dir deinen Arbeitsplatz so zusammen, wie du dich am wohlsten fühlst. • Mental Health? – Dein mentales Wohlbefinden ist uns wichtig. Mit OpenUp unterstützen wir dich und bieten dir jederzeit kostenlosen Zugang zu professioneller psychologischer Unterstützung. • Individuelles Weiterbildungsbudget? – Egal ob die nächste Zertifizierung oder ein lang ersehnter Sprachkurs – du entscheidest, worin und wann du dich weiterbildest. • Mitarbeiter:innen-PC-Programm? – Lease dir dein nächstes Device zur rein privaten Nutzung einfach über virtual7. • JobRad oder Firmenwagen? – Wir helfen dir dabei, so mobil zu sein, wie du es brauchst.

WHO WE ARE AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com http://www.aerovect.com. We are looking for a Staff Software Engineer to join the Localization team and own significant parts of our localization, mapping, and calibration stack as we scale autonomous ground operations across major airports. You'll take deep ownership of specific workstreams, contribute to the team's technical direction, and partner across the perception, planning, and platform interfaces to help drive the autonomous system from supervised operation to driverless. You'll work alongside the team's senior localization engineers. You Will • Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports • Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments • Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture • Develop tooling for diagnostics, health logging, and post-mission analysis across the stack • Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports • Deploy, test, and iterate using data from real autonomous operations You Have • 8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware • Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras • Demonstrated technical leadership - driving architecture across teams, setting direction, and being the person others escalate to on hard estimation problems • Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies • Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2 • Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case • BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field We Prefer • MS or PhD with a focus on localization, state estimation, or calibration • Hands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporal • Experience with factor graphs, graph-based SLAM, or open-source tools like GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAM • Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture • Track record of taking an autonomous system toward driverless operation

About Delinea: Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea’s leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle – across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities – including workforce, IT administrator, developers, and machines – assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. Learn more about Delinea on Delinea.com http://Delinea.com, LinkedIn https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdelinea%2F&data=05%7C02%7CMichele.Eaton%40delinea.com%7C766420d58b9a492d94ca08ddd6949f59%7C18d6ed03f0e5486183d2bb7b6c7c2bb2%7C0%7C0%7C638902656186877399%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=b1LCPIWSjxvblUYLlabUnRZ43S8rcspTQcBZsz0UbmU%3D&reserved=0, X https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fx.com%2Fdelineainc&data=05%7C02%7CMichele.Eaton%40delinea.com%7C766420d58b9a492d94ca08ddd6949f59%7C18d6ed03f0e5486183d2bb7b6c7c2bb2%7C0%7C0%7C638902656186902236%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=goZhva9hWR8F0P5pO6SQUEwigdbvbZiWqmw5%2BHhhf1A%3D&reserved=0, and YouTube https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2F%40Delinea&data=05%7C02%7CMichele.Eaton%40delinea.com%7C766420d58b9a492d94ca08ddd6949f59%7C18d6ed03f0e5486183d2bb7b6c7c2bb2%7C0%7C0%7C638902656186928751%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=uXgjuXTFu4kHWBJZ1XdNWN88Mrk5iT9Y24Ejw8fFBi8%3D&reserved=0. Join our passionate, global team at Delinea and help us make the world a safer and more secure place. Our success is driven by world-class product leadership, outstanding engineers, and strategic investment from TPG. We value diversity, innovation, and a culture of respect and fairness. If you're ready to push boundaries and challenge the status quo in security, we want to hear from you. Apply today to help us achieve our mission. Enterprise Account Manager Summary This remote position requires a motivated self-starter who will be responsible for net new sales into Enterprise Accounts. The candidate may be required to travel up to 50% throughout the assigned territory to visit customers, attend trade shows or field events, and for internal meetings such as sales kick-offs or quarterly business reviews. With our strong promote-from-within philosophy, successful performance in this role will provide career advancement opportunities to those seeking to take their sales careers to the next level. What You'll Do: • Create and a territory sales plan and account plans as needed. • Prospect to create contacts and opportunities within Enterprise Accounts in a geographic region. • Proactively pursue existing leads who have expressed interest in our services. • Collaborate with and engage the Delinea technical experts to provide an accurate and compelling story on our products’ strengths and capabilities to win deals. • Consistently meet/exceed sales targets. • Maintain an accurate forecast. Build and manage sales pipeline. • Cultivate and manage relationships with Channel partners. • Leverage Delinea’s executives, and their networks, to gain access to prospective clients. • Never stop learning! Continue to hone your craft and build your expertise in Cybersecurity. What You'll Bring: • 10+ years experience as an Enterprise software sales executive selling to companies with revenues greater than $500M – client facing. • Must have at least 5 years of experience with an Identity vendor & 10 years as an Enterprise Account Manager. • Track record of proven success meeting/exceeding quota – ideally with a Cybersecurity company. • Bachelor’s degree from an accredited University preferred or equivalent work experience. • Must have a high level of experience using and following processes and tools: Sales Force, Clari, MEDDPICC, Value Business selling (or equivalent) • Ability to articulate a value proposition. • Proficient with Salesforce and Clari. • Proven ability to develop and manage territory sales plans and account plans. • Experience cultivating and controlling complex sales cycles with audiences of multiple stakeholders in Enterprise organizations. …

Dans le cadre de notre développement, nous sommes impatients d’intégrer, notre futur/e Chargé/e d'études GTB. Vous rejoignez l’équipe Bureau d’études qui comporte à ce jour 3 autres Chargés d’études GTB, ainsi qu’une assistante commerciale. Vous intervenez sur des projets de neuf ou réhabilitation de bâtiments tertiaires comme des écoles, des hôpitaux, des hôtels, des hyper/supermarchés, bureaux tertiaires, ... Votre rôle est de contribuer à la conception, l'élaboration et la mise en œuvre de solutions intégrées de GTB, en faisant le lien entre les équipes commerciales et les équipes de production. Premièrement, vous participez la rédaction des offres techniques en collaboration avec le service commercial. En ce sens, vous accompagnez les Ingénieurs Commerciaux dans l’établissement de devis détaillés en fonction des besoins clients, dans la création des tableaux de points et dans la conception des architectures adaptées aux exigences du cahier des charges. Dans un second temps, afin de sécuriser la transition entre la phase commerce et le démarrage des projets en production, vous contribuez à la réalisation des dossiers d'exécution, incluant les plans architecturaux, le dimensionnement technique définitif et les schémas de raccordement des systèmes GTB. Vous contribuez également à l'analyse fonctionnelle des besoins des clients. Enfin, vous réalisez une veille technologique sur les avancées dans le domaine de la GTB et vous êtes force de propositions auprès des équipes. De formation technique en génie électrique/climatique, automatisme ou informatique, une première expérience d’à minima 2 ans dans le domaine de la GTB, serait un indispensable. Vous maitrisez les outils du Pack Office, ainsi que les logiciels de conception de schémas électriques. Vous connaissez les normes et réglementations en vigueur dans le domaine de la GTB (Décret BACS), du Chauffage/Ventilation/Climatisation et de l’Electricité. Curieux/se et volontaire, vous souhaitez développer votre savoir-faire technique et disposez d’un bon relationnel, qui vous permet de vous adapter à vos interlocuteurs (fournisseurs, clients…). Appréciant le travail d’équipe et le contact avec les clients, vous aimez évoluer en mode projet. Votre capacité d’adaptation et votre force de proposition feront de vous un membre clé de l’équipe. Notre process de recrutement : • Candidature : En quelques lignes, expliquez pourquoi vous aimeriez nous rejoindre • Entretien RH : Un/e recruteur/se échange avec vous pour mieux connaître vos motivations et vous présenter notre projet. • Rencontres métier : Discussions avec des opérationnels et votre futur Manager pour confirmer que nous partageons la même vision. • Proposition : Si tout s’aligne, nous vous faisons une offre et préparons votre intégration. ALTYN et ses filiales s’engagent à étudier toutes candidatures, sans discrimination de genre, âge, situation de handicap ou sociale, afin de favoriser la diversité. A très bientôt ! L'équipe Recrutement Le Groupe ALTYN est un acteur français, indépendant et engagé dans le conseil, l’ingénierie, les travaux et les services liés à la transition énergétique, environnementale et numérique. Notre vocation est de concevoir, construire, réhabiliter et exploiter les bâtiments, équipements et réseaux afin de diminuer leur consommation d’énergie ainsi que leur émission de gaz à effet de serre et ainsi permettre aux utilisateurs finaux d’occuper des locaux plus sains et confortables. CYRISEA accompagne ses clients dans la transition numérique, énergétique et environnementale des bâtiments et des installations techniques. En tant qu' intégrateur de systèmes de Gestion Technique du Bâtiment (GTB) multimarques, et de solutions logicielles de supervision technique et énergétique, CYRISEA fournit une offre complète et adaptée à ses clients. Par la réalisation des projets pour nos clients, notre objectif est de diminuer les consommations et les charges environnementales d’exploitation des bâtiments et garantir aux occupants un confort et une sécurité optimale. Les équipes de CYRISEA portent également les engagements RSE pris par le Groupe ALTYN Notre organisation est pensée afin de permettre à chacun de monter en compétences, à son rythme. A votre disposition, un accompagnement sur mesure, des passerelles métiers accessibles, une mobilité facilitée par notre présence nationale, une université interne (efficiente lors de l’intégration mais aussi en formation continue) et des communautés métiers désireuses de partager leur savoir. Enfin, afin d’apporter de la flexibilité dans le quotidien de nos collaborateurs, nous accompagnons le télétravail. Rejoignez des équipes passionnées, aux valeurs environnementales fortes où le retour d’expérience et le partage embarquent nos experts et nos débutants.

Your mission As Matrix42 accelerates its AI and cloud transformation, the VP Cloud is responsible for defining and operating the cloud platform strategy that enables scalable, secure, resilient, and cost-efficient products across the M42 Core, Pro, and Enterprise platforms. Reporting to the CTO, the VP Cloud serves as the senior technology leader for cloud architecture, cloud operations, platform reliability, infrastructure modernization, and cloud financial discipline. The role partners closely with Product Management, Engineering, Enterprise Architecture, Information Security, Finance, Customer Success, Support, and Technology Leadership to ensure product and infrastructure decisions are technically sound, operationally sustainable, commercially informed, and aligned with Matrix42’s long-term platform strategy. The VP Cloud provides thought leadership and practical guidance on how products and underlying cloud infrastructure should be designed, built, deployed, and operated. This includes evaluating and adopting modern cloud-native technologies, enabling AI-ready platform capabilities, improving automation and operational efficiency, and ensuring that cloud architecture choices support innovation while maintaining strong reliability, security, compliance, and margin-aware cost structures. The VP Cloud does not own product P&L, but is accountable for ensuring that cloud architecture, platform operations, infrastructure choices, and cost-management practices support established goals. The role is expected to establish clear standards, governance, metrics, and execution discipline across cloud environments so that Company X can deliver trusted, high-performing cloud services at scale. The VP Cloud also advances Matrix42’s Cloud Your Way vision by enabling flexible deployment models across public cloud SaaS, private cloud, sovereign and country-specific data residency, and customer data center deployments. The role ensures these models are delivered through consistent architectural standards and operational controls without compromising resilience, security, compliance, customer trust, or operational excellence. Key Responsibilities Cloud Operations Leadership • Develop and execute the enterprise cloud operations strategy aligned with business and technology objectives. • Lead 24x7 cloud operations supporting production environments across public, private, and hybrid cloud platforms. • Establish operational standards that maximize availability, resiliency, performance, and customer satisfaction. • Drive operational maturity through automation, self-healing capabilities, and standardized operational practices. Cloud Architecture Partnership • Participate as a strategic stakeholder in cloud architecture reviews, governance boards, and technology planning sessions. • Evaluate proposed cloud architectures for operational readiness, scalability, resilience, maintainability, recoverability, monitoring, and supportability. • Provide operational guidance and recommendations that influence cloud architectural decisions affecting production environments. • Partner with Cloud Architecture and Engineering teams to ensure new platforms and services meet operational standards before production deployment. • Champion operational design principles including observability, automation, resiliency, fault tolerance, disaster recovery, and operational simplicity. • Collaborate in developing cloud reference architectures, operational standards, and infrastructure patterns that improve long-term operational effectiveness. Reliability & Service Excellence • Own enterprise service availability, reliability, incident management, and operational performance. • Establish and monitor SLAs, SLOs, and operational KPIs. • Lead major incident response, post-incident reviews, and continuous improvement initiatives. • Ensure effective monitoring, alerting, logging, and observability across cloud environments. Cloud Platform & Infrastructure Operations • Oversee cloud infrastructure operations including compute, storage, networking, identity, platform services, Kubernetes, and related cloud technologies. • Ensure effective capacity planning, lifecycle management, and operational readiness. • Drive infrastructure-as-code, configuration management, and operational automation initiatives. Security, Compliance & Risk Management • Partner with Information Security to maintain secure cloud operations. • Ensure operational compliance with regulatory and internal security requirements. • Support vulnerability remediation, disaster recovery, backup, business continuity, and operational risk management. Financial & Vendor Management • Partner with FinOps and Finance to optimize cloud operational costs while maintaining service quality. • Manage operational budgets, vendor relationships, managed service providers, and cloud support agreements. • Identify opportunities to improve efficiency through automation and …