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Agricultural Innovation at Organifarms We are a startup at the forefront of agricultural innovation, specializing in the development of harvesting robots for strawberries. Our mission is to revolutionize the way strawberries are harvested, making it more efficient, sustainable, and cost-effective You have... Completed degree in computer science with specialization in robotics, computer vision or a comparable field of study 3 years of hands-on experience with 2D/3D computer vision, machine learning and 3D vision sensors Profound skills with Python, PyTorch, OpenCV, Docker, Linux and Git Experience with ROS 2 (Robot Operating System) in production A passion for the development of innovative solutions and creative ideas to improve our robots Team spirit and entrepreneurial thinking Fluency in English is required, fluency in German is a big plus Your role at Organifarms: You will develop computer vision pipelines for 7-axis robots used for harvesting. Our robot operates in a greenhouse and faces a highly dynamic environment. Changing light conditions, fast robot movements and movable targets are challenges the vision system has to overcome. You will rapidly prototype your designs and ideas on real hardware Depending on your skills and interests: Developing algorithms for panoptic segmentation of the robot's environment Developing self-learning vision-based robot control algorithms Developing 3D object detection, e.g., generation of collision objects using 3D perception sensors (LiDAR, stereo cameras) and their respective point clouds Integrating new vision sensors to enhance the robot's understanding of the environment Developing vision-based tracking methods Benefits at Organifarms: 30 days of vacation Hansefit membership or Givve Card Flexible working hours Free beverages and fruits Homeoffice Motivated and talented team with a passion for innovative ideas Your application If you match most of these requirements and want to help shape the future of agricultural robotics, we encourage you to apply. Find Jobs in Germany on Arbeitnow

The AI Teams at Agile Robots are looking for a Robotics Software Engineer (m/f/d) AI Tools & Integration , who will integrate AI models with robot hardware and build the applications and tooling around them. Customers and partners reuse this stack through open-source releases, so it has to keep working with messy data, limited compute, and real hardware. Responsibilities Robot Integration: Integrate trained AI models with single-arm and dual-arm robots through ROS 2, and maintain the runtime that runs them on hardware. Application Development: Build robot applications on top of the AI stack, including agentic workflows that chain AI models and robot skills into multi-step tasks. Tool Interfaces: Build UI, API, and CLI tools such as dataset viewers, training dashboards, and benchmark viewers. End-to-End Testing: Build test suites that run real user workflows from data through training to inference, including stress tests with messy data and limited compute. Release Readiness: Maintain nightly regression runs on the reference workflows and run reliability checks before demos and open-source releases. Documentation: Write and maintain the documentation customers and partners use to adopt the tooling. Essential Skills Engineering Background: Degree in Computer Science, Robotics, or a related field, or equivalent qualification plus professional experience building comparable software systems. Python Engineering: Professional experience building and maintaining Python software that other engineers depend on. ROS 2 Integration: Hands-on experience integrating and debugging software on physical robots through ROS 2. Containers & CI: Hands-on experience with Docker and CI pipelines such as GitHub Actions for reproducible builds and releases. Testing: Hands-on experience designing integration and end-to-end test suites and debugging failures across the full stack. Backend Services: Experience building backend services and APIs, for example with FastAPI or gRPC. Beneficial Skills C++ Development: Experience writing C++ for robot-side or performance-critical code. Agentic Systems: Experience building applications that combine language or vision-language models with robot skill execution. Frontend Development: Working experience with React or Next.js for building data-heavy interfaces. ML Workflows: Working understanding of how training and inference pipelines for robot learning models fit together. What we offer A dynamic high-tech company, combined with financial soundness and world-class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities as we continue to grow. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program covering health, mobility, and learning for 100€ net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. Find more English Speaking Jobs in Germany on Arbeitnow

Are you an AI Engineer passionate about building and deploying scalable AI solutions in real-world environments? At Wypoon Technologies, we're looking for experienced AI Engineers to help enterprise organizations develop, deploy, and scale innovative AI applications and platforms. We're looking for professionals with strong hands-on experience in AI engineering, solid software development skills, and expertise in Azure cloud technologies. Experience with Generative AI, LLMs, and cloud-native AI solutions is highly valued. Whether your expertise lies in AI application development, Generative AI, or AI platform engineering, you'll have the opportunity to work on challenging projects using modern AI and cloud technologies. Why Join Us? At Wypoon Technologies, you'll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell , tackling exciting challenges and delivering tailored enterprise solutions. Here's what makes us stand out: ✔ Impactful Work : Shape the future of our clients' digital landscapes. ✔ Innovative Environment : Collaborate within a supportive team that values learning and growth. ✔ State-of-the-art technology : Access the latest tools and platforms. ✔ Global Opportunities : Dreaming of living and working in the Netherlands? We provide full support with visa processes, making your transition smooth and hassle-free! Key Responsibilities Design, develop, and deploy scalable AI applications and services using Python and Microsoft Azure. Build and maintain cloud-native AI solutions using Docker, Kubernetes (AKS), and CI/CD pipelines. Develop and integrate AI/ML and LLM-powered solutions with enterprise applications, APIs, and data sources. Work with Generative AI technologies, including Azure OpenAI, RAG architectures, and AI agents, depending on project requirements. Contribute to the deployment, monitoring, security, and performance optimization of AI applications in production. Collaborate with software engineers, data scientists, and platform teams to deliver reliable and scalable AI solutions. Apply software engineering best practices to ensure code quality, maintainability, and system reliability. Requirements 5+ years of professional experience in software engineering, AI engineering, or related technical roles, including hands-on AI/ML engineering experience. Strong Python programming skills and experience developing production-grade applications. Hands-on experience with Microsoft Azure and cloud-native application development. Practical experience with Docker and Kubernetes, preferably Azure Kubernetes Service (AKS). Experience developing, integrating, or deploying AI/ML solutions in real-world environments. Practical experience with Generative AI, LLMs, Azure OpenAI, or similar AI technologies. Experience with REST APIs, backend development, and modern software architectures. Knowledge of CI/CD pipelines and production deployment practices. Understanding of scalable, secure, and reliable cloud architectures. Experience with modern AI technologies and architectures, such as RAG, vector databases, Azure AI Search, or AI agents. Familiarity with AI deployment and operational practices, including MLOps/LLMOps, infrastructure automation, or monitoring and observability. Strong English communication skills. Nice to Have Experience with Agentic AI frameworks such as LangChain, LangGraph, or AutoGen. Experience with Infrastructure as Code tools such as Terraform or Bicep. Knowledge of AI security, evaluation, guardrails, and performance optimization. What We Offer Competitive Compensation : Salary tailored to your skills and experience. Generous Time Off : 25 paid vacation days (based on a 40-hour work week). Relocation Support : A relocation and travel budget to ease your transition. Tax Benefits : Eligibility for the 30% ruling. Travel Reimbursement : We've got your daily commute covered. Top-Notch Equipment : A high-quality device to ensure you work efficiently. Professional Development : Financial support for certifications, technical training, and language courses—because we value your long-term career growth. Family : Visa sponsorship for your partner and children under 18. Temporary Accommodation : Stay in temporary housing while we help you find your permanent home. Comprehensive Relocation Assistance : Extensive support to help you settle in smoothly. Community & Fun : Enjoy team events and connect with developers from around the globe! Join Wypoon Technologies, where your expertise will thrive, your ideas will be valued, and your career will reach new heights. Apply now to be part of our transformative journey! Find Jobs in Netherlands on Arbeitnow

Shape the Future of Digital Identity Management for our clients with Wypoon Technologies Are you a dedicated Azure DevOps Engineer ready to make an impact? Join us as an Azure DevOps Engineer and become a vital contributor to our mission of delivering robust and efficient cloud infrastructures for leading global clients. Collaborating with cross-functional development teams, you will ensure seamless integration of Azure services with a focus on security, scalability, and cost-efficiency. Additionally, you will play a key role in monitoring and optimizing cloud resources while responding swiftly to system incidents. Why Join Us? At Wypoon Technologies, you'll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell , tackling exciting challenges and delivering tailored enterprise solutions. Here's what makes us stand out: ✔ Impactful Work : Shape the future of our clients' digital landscapes. ✔ Innovative Environment : Collaborate within a supportive team that values learning and growth. ✔ State-of-the-art technology : Access the latest tools and platforms. ✔ Global Opportunities : Are you dreaming of living and working in the Netherlands or Belgium? We provide full support with visa processes, making your transition smooth and hassle-free! #LI-DNI Key Responsibilities Design and optimize Azure cloud infrastructures and CI/CD pipelines for client projects. Work in Agile/Scrum teams to integrate Azure services effectively into applications. Ensure security and compliance of the Azure environments, responding promptly to outages. Continuously monitor and enhance Azure resources to optimize performance and costs. Develop Infrastructure as Code (IaC) using tools such as Azure Resource Manager (ARM) templates or Terraform. Foster collaboration and knowledge-sharing with team members and cross-functional teams. Requirements A minimum of 5 years of professional experience. Advanced proficiency in the English language (at least B2 in speaking, writing, listening, and reading). A minimum of a bachelor's degree in Computer Science, Software Engineering, or a related field. Experience with Azure services (Azure DevOps, Azure Active Directory, Azure Key Vault, etc.). Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Ansible. Familiarity with automation and deployment scripting languages such as Python, PowerShell, or Bash. Experience with monitoring and logging tools (Azure Monitor, Prometheus, Grafana). Good understanding of cloud security, network configurations, and compliance standards. Effective team player with excellent communication and problem-solving skills. Preferred Skills & Experience Knowledge of serverless architectures, microservices, and experience with databases (e.g., PostgreSQL, MySQL, Redis). Familiarity with Agile methodologies and DevOps best practices. Experience with tools such as Jira, Confluence, and CI/CD tools. What We Offer Competitive Compensation : Salary tailored to your skills and experience. Generous Time Off : 25 paid vacation days (based on a 40-hour work week). Relocation Support : A relocation and travel budget to ease your transition. Tax Benefits : Eligibility for the 30% ruling. Travel Reimbursement : We've got your daily commute covered. Top-Notch Equipment : A high-quality device to ensure you work efficiently. Professional Development : Financial support for certifications, technical training, and language courses—because we value your long-term career growth. Family : Visa sponsorship for your partner and children under 18. Temporary Accommodation : Stay in temporary housing while we help you find your permanent home. Comprehensive Relocation Assistance : Extensive support to help you settle in smoothly. Community & Fun : Enjoy team events and connect with developers from around the globe! Join Wypoon Technologies , where your expertise will thrive, your ideas will be valued, and your career will reach new heights. Find more English Speaking Jobs in Netherlands on Arbeitnow

Are you a Machine Learning Engineer with a passion for building real-world, production-grade AI solutions in the cloud? At Wypoon Technologies, we're expanding our network of skilled ML Engineers to support leading clients across the Netherlands. From predictive analytics to real-time recommendations and Generative AI use cases,you'll work on meaningful projects that scale. Whether your focus lies in model development, MLOps, or cloud-native architecture, we're looking for engineers who can bring machine learning to life in enterprise environments. Why Join Us? At Wypoon Technologies, you'll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell , tackling exciting challenges and delivering tailored enterprise solutions. Here's what makes us stand out: ✔ Impactful Work : Shape the future of our clients' digital landscapes. ✔ Innovative Environment : Collaborate within a supportive team that values learning and growth. ✔ State-of-the-art technology : Access the latest tools and platforms. ✔ Global Opportunities : Dreaming of living and working in the Netherlands or Belgium? We provide full support with visa processes, making your transition smooth and hassle-free! Key Responsibilities Designing and implementing machine learning pipelines in Azure cloud environment Developing and deploying models for classification, regression, time series, recommendation, or NLP use cases Working with structured and unstructured data, and applying feature engineering, model tuning, and evaluation techniques Packaging and deploying models using containerization (e.g., Docker, Kubernetes) Automating and monitoring ML workflows using MLflow, Airflow, or cloud-native tools (SageMaker, Vertex AI, Azure ML) Collaborating with data scientists, engineers, and product teams to translate business problems into ML solutions Contributing to MLOps practices: model versioning, CI/CD for ML, performance monitoring, and rollback strategies Requirements At least 5 years of professional experience. Advanced proficiency in English (minimum B2 level in speaking, writing, listening, and reading). A bachelor's degree in Computer Science, Software Engineering, or a related field. Strong proficiency in Python, including libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost Experience building and deploying ML models in at least one major cloud platform: Azure, AWS, or GCP Familiarity with ML pipeline orchestration and CI/CD practices Experience with Generative AI use cases, such as working with LLMs, embedding models, prompt engineering, or custom GPT integrations Familiarity with HuggingFace Transformers, LangChain, or RAG architectures Exposure to Responsible AI, explainability, or ethical ML practices Background in MLOps tooling: MLflow, DVC, Tecton, Feast Experience with data labeling tools or ML observability platforms Solid understanding of software engineering principles and cloud infrastructure Experience working with APIs, data lakes, and distributed systems is a plus Comfortable in Agile environments and cross-functional teams What We Offer Competitive Compensation : Salary tailored to your skills and experience. Generous Time Off : 25 paid vacation days (based on a 40-hour work week). Relocation Support : A relocation and travel budget to ease your transition. Tax Benefits : Eligibility for the 30% ruling. Travel Reimbursement : We've got your daily commute covered. Top-Notch Equipment : A high-quality device to ensure you work efficiently. Professional Development : Financial support for certifications, technical training, and language courses—because we value your long-term career growth. Family : Visa sponsorship for your partner and children under 18. Temporary Accommodation : Stay in temporary housing while we help you find your permanent home. Comprehensive Relocation Assistance : Extensive support to help you settle in smoothly. Community & Fun : Enjoy team events and connect with developers from around the globe! Join Wypoon Technologies, where your expertise will thrive, your ideas will be valued, and your career will reach new heights. Apply now to be part of our transformative journey! Find more English Speaking Jobs in Netherlands on Arbeitnow

Are you an experienced Python Software Engineer with a passion for developing high-quality, scalable back-end solutions? Join our team to work on challenging projects using cutting-edge technologies for leading companies in the Netherlands and Belgium! As part of a cross-functional DevOps team at the client's site, you will create innovative microservices, APIs, and distributed systems. You will also contribute to implementing robust testing frameworks and optimizing system performance with modern technologies tailored to the client's specific needs. Why Join Us? At Wypoon Technologies, you'll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell , tackling exciting challenges and delivering tailored enterprise solutions. Here's what makes us stand out: ✔ Impactful Work : Shape the future of our clients' digital landscapes. ✔ Innovative Environment : Collaborate within a supportive team that values learning and growth. ✔ State-of-the-art Technology : Access the latest tools and platforms. 󠁯✔ Global Opportunities : Dreaming of living and working in the Netherlands or Belgium ? We provide full support with visa processes, making your transition smooth and hassle-free! Key Responsibilities Develop scalable solutions: Write clean, maintainable, and efficient back-end code. Microservices and APIs: Design, build, and enhance microservices and RESTful/GraphQL APIs to enable seamless system integration. Testing frameworks: Implement and maintain tools such as PyTest and Unittest to ensure high code quality. Distributed systems: Work with event-driven architectures using technologies such as Kafka and Redis. Infrastructure-as-Code: Use tools like Terraform or Ansible to deploy and manage resources. DevOps practices: Contribute to CI/CD pipelines and deploy applications to cloud platforms (e.g., Azure/AWS). Collaboration: Participate in sprint planning, peer reviews, and team discussions to continuously improve development processes. Documentation: Create and update clear and comprehensive documentation for architecture, processes, and best practices. Preferred Experience At least 8 years of professional experience. Advanced proficiency in English (minimum B2 level in speaking, writing, listening, and reading). A bachelor's degree in Computer Science, Software Engineering, or a related field. Expertise in Python and frameworks such as Django, Flask, or FastAPI. Proficiency with testing tools such as PyTest or Unittest. Experience with test-driven development (TDD) or behavior-driven development (BDD). Strong knowledge of distributed systems and event-driven architecture using echnologies such as Kafka, Redis, or Celery. Hands-on experience in designing, building, and scaling microservices. Proficiency in API design patterns (e.g., RESTful APIs, GraphQL). Familiarity with containerization and container management using Docker and Kubernetes. Experience with Linux systems, including scripting and system management. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Proficiency with CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps). Familiarity with additional programming languages (e.g., Go, Java, or Rust) is a plus. Experience with secure coding practices and knowledge of cybersecurity principles. What We Offer Competitive Compensation : Salary tailored to your skills and experience. Generous Time Off : 25 paid vacation days (based on a 40-hour work week). Currently living in the Netherlands and available to work on-site/hybrid when required Travel Reimbursement : We've got your daily commute covered. Top-Notch Equipment : A high-quality device to ensure you work efficiently. Professional Development : Financial support for certifications, technical training, and language courses—because we value your long-term career growth. Family : Visa sponsorship for your partner and children under 18. Temporary Accommodation : Stay in temporary housing while we help you find your permanent home. Comprehensive Relocation Assistance : Extensive support to help you settle in smoothly. Community & Fun : Enjoy team events and connect with developers from around the globe! Join Wypoon Technologies, where your expertise will thrive, your ideas will be valued, and your career will reach new heights. Apply now to be part of our transformative journey! Find Jobs in Netherlands on Arbeitnow

About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack. Responsibilities VIO Front-end Algorithm development: Matching between frames and stereo pairs Calibration of cameras intrinsic and extrinsic parameters Detection of obstruction Implementation and optimization of the algorithmic stack for our embedded platforms Testing, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools.. Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders. Candidate Requirements Educational Background : Master's degree in Robotics, Physics, Computer Science or related field, PhD is a plus Technical Expertise : Strong mathematical foundations, coding skills in both Python and C++ Hands-on VIO project experience . Experience with VIO on industrial products is a huge plus. Passion for Computer Vision and Robotics Strong Communication & Teamwork : Ability to collaborate effectively with diverse teams Commitment : 100% dedication to Harmattan's mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI. Find more English Speaking Jobs in France on Arbeitnow

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Research Software Engineer on the Sandboxes team, you will design, build, and operate the platform that runs isolated environments for untrusted code at massive scale. Our work spans distributed systems, low-level virtualization, and product-minded platform design. Engineers on this team move between deep infrastructure work and understanding how researchers actually use the platform. This is a software engineering role, not an ML research role. You do not need prior ML experience; what matters is writing clean, reliable systems code that scales. You will join a small, senior team where the wrong hire is worse than no hire. What You Will Do Design, build, and operate the sandboxing platform that runs untrusted code at scale across multiple Kubernetes clusters, from our own bare metal data centers to hyperscalers. Develop the sandbox runtime leveraging Firecracker, enabling fast startup, snapshotting, and efficient scheduling without blocking expensive hardware. Obsess over performance and latency optimisation allowing us to reach millions of concurrent sandboxes. Write robust, well-tested systems code in Rust and Python; review code, CI/CD, and observability across the platform. Own cross-cluster networking, security boundaries, isolation guarantees and monitoring for suspicious activity. Collaborate with researchers and ML engineers who use sandboxes for synthetic data generation and RL training, turning their needs into platform features. What We're Looking For A strong background in software engineering and distributed systems, with experience building and operating large-scale infrastructure. Deep expertise in at least one of: Kubernetes and cluster operations, cross-cluster networking, observability, or low-level virtualization. Fluency in Python or Rust; comfortable writing systems code where performance and security matter. Strong software-design instincts: modular code, testing, CI/CD, observability, and a bias for reliability. A self-starter who learns fast. Core skills matter more than specific tools — we value meta-learning ability and motivation highly. Low-ego, collaborative, and comfortable with ambiguity in a small, high-ownership team. Nice-to-haves Experience with Firecracker, microVMs, or similar virtualization technologies. Product-mindedness: understanding of how sandboxes are used for synthetic data generation or RL training. Experience with GPU clusters, CUDA, or ML workloads. Prior SRE or platform engineering experience at scale. Open-source contributions or widely used internal tools. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find Jobs in France on Arbeitnow

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. As a Research Engineer on the Orchestral team, you will help build the agentic platform we use to train and evaluate our models. Orchestral is the system our researchers rely on to run training and evaluation at scale — from the rollout engine that powers agentic workflows to the infrastructure that keeps their workloads running reliably. What you build becomes the foundation the whole science team works on. Your work will span the platform's core: the library, tooling, abstractions and rollout engine — including new capabilities like long-running tasks, subagents and RL features — and the machinery that runs data and jobs at scale, with a focus on resiliency, routing and request handling. You will own significant pieces end to end, from design to production. This is a software engineering role rather than an ML or infrastructure-operations one: RL or PyTorch experience is not required, and you will spend your time building the platform, not operating it. You will be building a distributed RL system, with the scientists as your users. What You Will Do Design and build the core of the Orchestral platform: the library, abstractions and tooling researchers use to train and evaluate models. Build and evolve the rollout engine, shipping new capabilities such as long-running tasks and subagents. Run Orchestral as a production system: keep training and evaluation workloads reliable at scale. Improve how data and jobs flow through the platform as usage grows — scheduling, routing and request handling. Treat researchers as your users: understand their workflows and turn recurring needs into robust, shared tooling. Raise the bar on engineering quality across the platform: testing, code review, CI/CD, observability and documentation. Contribute to open-source rollout-engine and agent-infrastructure projects where it benefits the platform. What We're Looking For Experience directly building and debugging complex distributed systems at scale, with an emphasis on reliability and scalability. Strong Python skills and solid software-design instincts: testing, code review, CI/CD. A builder mindset: you have constructed systems from the ground up, not just operated polished ones. A track record in small teams running complex systems at scale — for example in finance, crypto or ad tech. Self-starter, low-ego and collaborative, with a product mindset toward your users. Curiosity about ML and RL — this experience is not required, but a desire to learn is. Nice-to-haves Hands-on experience with Ray or similar distributed-computing frameworks. Open-source contributions, especially to rollout-engine or agent-infrastructure projects such as SLIME, verl or PrimeRL. Experience building or working with agentic workflows and environments. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find Jobs in France on Arbeitnow

Here at The Exploration Company, we are building spacecrafts for humanity. About the role The Exploration Company is developing Huracan, a cryogenic rocket engine. The engine integrates e-pumps, power electronics, valves, embedded software, and control systems. We are seeking a Hardware-in-the-Loop Engineer to develop and operate HIL platforms for verifying the ECU, PDU, Valve Controller, inverter, electric pumps, and associated software. You will connect real hardware to real-time simulations, automate testing and data analysis, and develop emulator hardware for sensors, actuators, interfaces, and subsystem behaviour. You will verify nominal and fault conditions while ensuring test repeatability, traceability, and early fault detection. You will work closely with propulsion, embedded-software, power-electronics, control-systems, and hardware engineers to validate Huracan from simulation through laboratory testing. Key responsibilities Design, build, and maintain the HIL test environment for our engine propulsion system, from engine controller board level up to the integrated propulsion subsystem Define and implement the hardware and software architecture of the propulsion HIL bench, including signal conditioning, load and fault-insertion hardware, and real-time targets Integrate real-time plant models (e.g., feed system, valves, pumps and motors, combustion chamber, thermal behaviour) into NI VeriStand and close the loop with the engine control unit Emulate and simulate the sensors the controller depends on (e.g., pressure transducers, thermocouples and RTDs, flow meters, position and speed feedback) with flight-representative electrical characteristics Emulate or integrate actuators and power electronics, such as valve drivers, motor inverters, igniters, and their control units, as real hardware, electrical loads, or models Develop LabVIEW-based applications for desktop and real-time platforms (e.g., PXI, cRIO), including custom devices and bus interfaces (e.g., CAN, RS-422/485, Ethernet) Implement fault injection at the electrical and model level to verify engine start-up, shutdown, and abort sequences as well as FDIR behaviour Support test execution, data acquisition, logging, and automated reporting during verification campaigns Validate and correlate simulation models against component-level and engine test data together with the propulsion team Create and maintain technical documentation, including architecture specifications, interface definitions, model and code documentation, and user guides Debug and troubleshoot across the bench, the models, and the unit under test, and continuously improve the test platform You will be in charge of Delivering a robust and scalable HIL platform whose models, I/O configuration, and test sequences can be reused across engine configurations and projects Running control loops and plant models deterministically at the rates the engine controller requires, using NI hardware, LabVIEW RT, and FPGA where timing demands it Defining test automation workflows using NI TestStand and integrating them into the propulsion and system-level verification process Coordinating closely with propulsion, avionics, and flight software engineers to ensure requirements traceability and test coverage Keeping models, bench hardware, and test software under configuration control so that every test run is reproducible Contributing to the continuous evolution of our HiL infrastructure, with an emphasis on performance, reliability, and maintainability Ensuring all solutions meet space-grade quality and safety standards, aligned with project requirements Must-Have Skills and Qualifications Bachelor's or Master's degree in Electrical Engineering, Aerospace Engineering, Control Engineering, Computer Science, or a related field Hands-on experience building and operating HIL test benches for closed-loop control systems (e.g., engine, motor, or actuator controllers) Proficiency in LabVIEW, including desktop and real-time application development Hands-on experience with NI VeriStand in real-time test environments, including integration of simulation models (e.g., Simulink, FMU, or C/C++) Experience emulating sensors and actuators at the electrical level (e.g., analog, thermocouple/RTD, frequency and PWM, discrete I/O) and working with motor drives or inverters Familiarity with NI TestStand for test automation and execution management Solid understanding of test platform architectures, hardware/software integration, and real-time systems Strong debugging and troubleshooting skills, with a structured and methodical approach Ability to write and integrate Python scripts to extend test workflows or support automation tasks Nice-to-Have Experience with LabVIEW FPGA, for example for high-speed sensor emulation or motor and inverter simulation Background in liquid rocket propulsion or in fluid and thermal system modelling Experience with fault-insertion hardware and FDIR verification Familiarity with ECSS standards or equivalent aerospace standards such as DO-178C Experience supporting engine or integrated system test campaigns Why you should join us! What makes us special here at The Exploration Company and why we think you will enjoy working here is: We're Agile - we make decisions fast whilst keeping our goals and systems in mind We're Open and Collaborative - we are transparent about risks and obstacles, so that we can cooperate to overcome them We have a lot of Fun - we refuel our energy knowing we are democratising space. It's a wonderful and rare opportunity, are YOU up for the challenge? We'd love to hear from you if you wish to be a part of our journey. Please submit your CV now for immediate consideration and we will be in touch shortly. The Exploration Company is an equal opportunity employer and values diversity. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Relocation assistance is provided for those willing to relocate including visa sponsorship where applicable. All offers are contingent upon the successful completion of a background check, which will be subject to the country, role, and project you applied for. By submitting your application, you acknowledge and agree that any offer of employment may be conditional upon successful condition of this check. The Exploration Company partners with Zinc Work Limited located in the UK (Zinc), a third-party provider, to ensure this process as efficient and transparent as possible. If applicable, you will receive an email from Zinc upon acceptance of your offer with a link to a secure portal where you can provide the required information to Zinc. Find Jobs in France on Arbeitnow

Hi! We're hipages, an ASX-listed tech company and Australia's #1 digital platform connecting households with trusted home improvement businesses. We're on a mission to transform the home improvement industry to build better lives for everyone. With teams across Australia, New Zealand, the Philippines and Vietnam, we work as one team with a shared purpose. We're proud to be a certified Great Place to Work and WORK180's #1 Employer for Women . At hipages, you'll find real impact, career growth and a workplace where everyone belongs. About the role: You'll play a crucial role in supporting the hipages marketplace by developing our analytics engineering capabilities. Working alongside a talented data team to create immense value for the business and contribute to the development and execution of hipages' commercial strategy. Your experience and expertise will help us discover new ways of operating in the world of data modelling and business intelligence. You'll design and support the deployment of end-to-end data models, data products as well as develop and maintain internal analytics capabilities within our data platform. This role is vital in scaling our current data architecture and capabilities on DBT, Databricks and Tableau to enable self-service analytics. This role will be reporting into the Head of Commercial and Data Analytics giving that mentorship and executive buy-in to ensure this role is a success. This is a senior, hands-on role leading a craft pod of three analytics engineers, yet setting direction across a much wider community, acting as the technical authority on what "good" data design looks like. Why join our Data team? 💻 Hybrid working model 🪴 In-house Talent Development team to prioritise personal and career growth 💰 Competitive salary, benefits and perks, plus equity via our Employee Share Program 🤸 Cross-functional collaboration across Product, Engineering, Marketing and Commercial teams How you will add value: Leadership & People Management Lead, mentor, and line-manage a team of 2 Analytics Engineers, fostering a culture of technical excellence, continuous learning, and open collaboration. Shape analytics engineering practices across hipages, establishing standards for reproducibility, observability, style guides, and contributions to our data handbook. Educate data teams and broader business stakeholders on analytics engineering best practices and self-serve capabilities. Architectural & Technical Execution Serve as the primary advocate for dbt while providing technical leadership throughout the Databricks and Tableau BI landscape Architect, design, and implement scalable, high-performance data models in dbt and Databricks in close collaboration with Data Analysts and Data Engineers Define, establish, and enforce data contracts between software engineering producers and downstream data models to eliminate breaking upstream schema changes Delivery & Engineering Excellence Apply modern software engineering best practices (CI/CD, Git version control, automated testing) to iteratively deliver reliable data products and platform capabilities Drive end-to-end data quality, governance, SLAs, and consistency across our analytics and data science ecosystem Identify operational bottlenecks, optimize query execution, and streamline data pipelines to enhance overall system performance Oversee comprehensive documentation of data architecture, pipeline lineage, and analytical workflows About you: Technical & Architectural Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Economics or a related quantitative qualification or relevant equivalent experience Advanced SQL with deep experience designing and building scalable data architectures (Kimball dimensional modeling, Data Vault, etc.) Hands-on mastery of dbt (Data Build Tool) and strong experience with enterprise cloud platforms (AWS, GCP, or Azure) Hands-on experience defining, enforcing, or implementing Data Contracts to manage producer-consumer interfaces Proven experience developing and governing semantic layers in AI and BI tools like Tableau Leadership & Strategic Execution Proven capability to manage direct reports, work independently, and drive cross-functional alignment with excellent communication and conflict-resolution skills. Comfortable navigating ambiguity, managing priorities, and delivering iterative value in a fast-paced environment. Passionate about data culture, with a proven ability to translate complex data structures into clear, actionable narratives for technical and non-technical stakeholders. Nice to have Exposure to two-sided marketplace dynamics, network metrics, or high-velocity event-driven data ecosystems Experience partnering with Data Science teams to build feature stores, orchestrate pipelines (e.g., Airflow, Databricks Workflows), or support ML model deployments Interest or experience in shaping data for AI/LLM consumption Life at hipages: We're more than just a workplace. We're a place where you can be yourself, do great work and grow your career. Recognised as a Great Place to Work, our inclusive, supportive culture helps people thrive. You'll use the best tools and tech, with real impact on our products and customers. We invest in your development and lead with coaching, not micromanagement – it's why 85% of our team say their leader is great. And there's more: Diverse, collaborative teams that love solving problems Agile squads, hackathons, off-sites and roadshows Extra leave for birthdays, volunteering, and more Healthy snacks, continental breakfast and fresh fruit Sydney CBD office near Town Hall and Gadigal Stations Tailored growth support, mentoring and stretch projects A vibrant social scene - we work hard and have fun doing it We prioritise Diversity: At hipages, innovation and collaboration thrive in diverse and inclusive teams. We don't expect you to know everything - we care more about who you are as a person, a team member, and a leader. We're proud to be endorsed by WORK180 for supporting women's careers and we value diversity across culture, age, gender identity and sexual orientation. Research shows that men often apply when they meet just 60% of the criteria, while women and minority groups wait until they tick every box. If you think you'd be a great fit - even if you don't meet every requirement - we'd love to hear from you. We're also a Circle Back Initiative Employer, which means we commit to responding to every applicant. Find Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's growth at scale. We're looking for a BI Engineer to join our London team. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. About the Team The Core BI team builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership, and a strong user focus to make BI tooling reliable, secure, scalable and self-service. The team supports the current BI ecosystem while helping shape a more integrated experience across the DoorDash group. About the Role As a BI Engineer on the Core BI team, you will build and operate the models, systems and automation behind our BI platforms. This will include supporting our extensive user base on our current BI stack (primarily Looker and Sigma) while helping shape a single, more integrated BI platform across DoorDash, Deliveroo and Wolt. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you! You're excited about this opportunity because you will… Own and evolve the semantic layer behind our BI platforms: LookML and Canvas BI models, metric and dimension definitions, and the governance that keeps them trusted Build and operate the Looker and Sigma platforms themselves: instance and workspace configuration, permissions and user attributes, content lifecycle, and API-driven automation Lead the development of self-serve tooling that removes manual BI administration, using usage analytics to decide what to automate, build or retire next Support BI platform migrations and deprecations across DoorDash, Deliveroo and Wolt while protecting access, governance, data integrity and business continuity Take part in operational support, production debugging and incident response for the BI stack, and fix the root causes you find Champion engineering standards in BI, including version control, code review, CI and testing for models and platform code, so changes ship safely and repeatably We're excited about you because… 3+ years of experience in business intelligence engineering, analytics engineering, data engineering, or a similar code-first data role Strong Python and SQL skills, and hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) to accelerate your own engineering work Hands-on experience building in a BI platform such as Looker (LookML) or Sigma, modelling and configuring it, not only building dashboards in it Experience with semantic or metrics layers (LookML, dbt or similar): defining metrics and dimensions, and keeping those definitions consistent as they are reused Experience running what you build in production: version control, code review, CI, debugging live issues and taking part in operational support Excellent communication skills, and comfortable self-organising in a fast-paced, distributed environment with both technical and non-technical teams Nice to Have Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance Experience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role-based access controls Experience supporting a BI stack across multiple brands, tenants or regions, or leading a BI platform migration Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find Jobs in United Kingdom on Arbeitnow