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Projektbeschreibung: Technologie begeistert Sie? Uns auch! Zur Verstärkung unseres Expertenteams bei unserem Kunden aus der Funk- und Kommunikationsbranche suchen wir einen Communication Protocols Software Engineer (m/w/x) in Festanstellung bei K-tronik. Wir freuen uns darauf, Sie persönlich kennen zu lernen - und gemeinsam mit Leidenschaft und Teamgeist an spannenden Projekten und zukunftsweisenden Technologien zu arbeiten. Aufgaben: Du designst Kommunikationsprotokolle der ISO/OSI-Schichten 2 und 3 für moderne Secure-Communications-Systeme Du implementierst, integrierst und testest die entwickelten Protokolle in realen Systemumgebungen Du arbeitest in Kompetenz- und crossfunktionalen Teams an der Produktentwicklung moderner Kommunikationsverfahren mit und bringst deine Expertise in internationale Kooperations- und Konsortiumprojekte ein Du setzt Software-Engineering-Methoden und moderne Entwicklungsansätze wie agile Prozesse und kontinuierliche Integration konsequent ein Du analysierst komplexe Anforderungen und bewertest technische Lösungskonzepte für sicherheitskritische Kommunikationssysteme Du treibst die Weiterentwicklung von Protokollarchitekturen für verschlüsselte Datenübertragung voran Qualifikationen: Du hast ein abgeschlossenes Studium der Informatik oder Informationstechnik oder eine vergleichbare Qualifikation Du bringst Erfahrung in der Softwareentwicklung von Protokollen mit, idealerweise im Bereich der ISO/OSI-Schichten 2 und 3 Du beherrschst C++ und Python oder eine vergleichbare Sprache Du bist vertraut mit modernen Software-Engineering-Werkzeugen in den Bereichen Implementierung, Integration und Test Du überzeugst durch eine strukturierte Arbeitsweise, ausgeprägte Problemlösungsfähigkeit und kritisches Denken. Teamgeist, Kommunikationsstärke und eine hohe Lernbereitschaft sind für dich selbstverständlich Gute Deutsch- und Englischkenntnisse in Wort und Schrift runden dein Profil ab Benefits: Kollegiales und freundschaftliches Arbeitsklima Flexible Arbeitszeiten 30 Urlaubstage und flexible Urlaubsplanung Regelmäßige Team-Events Auszeichnung als Kununu TOP Company Corporate Benefits (Mitarbeiterangebote) Kostenlose Getränke Individuelle Weiterbildungsmöglichkeiten 360° Betreuung: Feedbackgespräche, Karriereplanung, Unterstützung bei Umzug, etc. Find more English Speaking Jobs in Germany on Arbeitnow

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. About the Role As a Senior Data Engineer on our Maritime Models team, you will take technical ownership of the core data pipelines and distributed storage architectures powering Kpler's vessel tracking and predictive analytics. You will design, scale, and optimize high-throughput batch and streaming pipelines that ingest raw maritime telemetry and transform it into actionable intelligence. Working with distributed NoSQL systems like Apache HBase at scale, your work directly ensures the freshness, accuracy, and reliability of the data models our global customers depend on. Key Responsibilities Architect, build, and operate high-throughput batch and streaming data pipelines using Java, Python, Apache Kafka, Apache Flink, and Airflow. Design, tune, and maintain scalable distributed NoSQL databases, prioritizing Apache HBase performance for high-volume time-series maritime telemetry. Drive end-to-end operational excellence across containerized cloud environments on AWS using Kubernetes, Docker, Terraform, and GitOps workflows. Define and enforce system reliability metrics, monitoring pipeline latency, data completeness, and uptime to meet strict operational SLAs. Partner with Data Scientists, Product Managers, and SRE teams to translate complex maritime modeling requirements into robust, production-grade infrastructure. Mentor peer engineers, drive code review standards, and leverage modern AI development tools (Copilot, Cursor, Claude) to elevate team productivity. Experience & Background What you'll need (Must-haves) 5+ years of professional experience as a Data Engineer designing, scaling, and maintaining production-grade data pipelines. Deep, hands-on expertise in distributed NoSQL data stores, specifically Apache HBase, for high-volume time-series storage and query optimization. Strong proficiency in software engineering using Java and Python. Demonstrated experience with stream processing and orchestration tools such as Apache Kafka, Apache Flink, and Apache Airflow. Solid background operating containerized services on AWS cloud environments using Docker, Kubernetes, and Terraform. Nice-to-haves Experience with relational databases such as PostgreSQL. Experience working with geospatial data technologies (e.g., GeoServer) or spatial indexing algorithms. Exposure to AI-assisted software development tools like Copilot, Cursor, or Claude Code. Domain familiarity with maritime tracking, AIS telemetry, or supply chain logistics. We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you've found your ideal destination. Are you ready to embark on this exciting journey with us? We make things happen We act decisively and with purpose, going the extra mile. We build together We foster relationships and develop creative solutions to address market challenges. We are here to help We are accessible and supportive to colleagues and clients with a friendly approach. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice Find Jobs in Germany on Arbeitnow

Description: Looking for an employer you can count on? Join us! Senior AI Platform & Research Infrastructure Engineer (m/f/d) Your Role and Responsibilities: Design, develop, and operate a federated AI platform and model management environment for universities and research institutions. Develop web applications, APIs, backend services, and platform components for AI model lifecycle management. Build and integrate AI middleware, model registries, API gateways, authentication services, and multi-tenant platform capabilities. Implement governance, approval, deployment, monitoring, and automation workflows for AI services and models. Develop and operate Kubernetes-based cloud-native infrastructure, including CI/CD, monitoring, logging, and automation. Collaborate with research partners, platform operators, and stakeholders in a national research infrastructure environment. Your Qualifications: Required/Minimum Qualifications Master's degree (or equivalent) in Computer Science, Software Engineering, Artificial Intelligence, or a related field. Other Requirements Professional experience in software engineering and distributed systems. Strong programming skills in Python, Go, or similar technologies. Experience with APIs, databases, cloud-native technologies, containers, and Kubernetes. Knowledge of authentication, authorization, identity management, and DevOps practices. Strong analytical, communication, and collaboration skills. Professional proficiency in English. Additional or Preferred Qualifications: Experience with AI platforms, LLMs, machine learning infrastructure, or model serving. Knowledge of multi-tenant platforms, API gateways, federated IAM, and OpenAI-compatible APIs. Experience with CI/CD, infrastructure automation, and platform operations. Familiarity with metadata standards, FAIR principles, or research infrastructures. Experience in higher education, research, public-sector, or open-source environments. Conditions: Working time full time (40 hrs) flexible working model with electronic time recording Contract duration 30.09.2029, a further employment is intended Remuneration up to E 13, see Entgelttabelle TV-L Annual leave / compensatory time off 30 days (24.12. + 31.12. additionally day off) Overtime is compensated by additional time off Benefits Up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, Cooperation Agreement with Sports Facility Providers for Discounted Membership What you can expect at LRZ: Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX). Further information: We are looking forward to receiving your complete application documents (including cover letter, CV and certificates) in a PDF file (other file types are not accepted) by latest 23.10.2026. Subject: AI-Platform Research Infrastructure -Eng (2026/51) Are you unsure whether the job suits you or you suit us? Or do you still have questions about this position? Our colleagues will be happy to answer all your questions. This job does not fit? Then take a look at https://www.lrz.de/en/careers/current-vacancies or send us an unsolicited application! Here you will find information about the collection of personal data during the application process. Find Jobs in Germany on Arbeitnow

Your mission At Wandelbots, we want to make programming robotic manipulation faster and easier, whether the robot is an industrial arm on a production line or a humanoid working at a bench. For that we are looking for your help in building crucial parts of our platform. You will be part of a team working on the core of our product – namely in the control of robotic motion. We are looking for another expert in the field of robot trajectory planning and real-time execution: Help us to setup an advanced high real-time feedback control system. Enable others to execute policy-based motions and VLAs on top of this. Plan collision free, synchronous, optimized trajectories for multiple robots. The team is working in the complex ecosystem of NOVA, providing a central and widely used set of puzzle pieces. Because of that, bringing flexibility and willingness to learn are highly appreciated as well as cross team communication and work. Your profile You have several years of professional experience as a software engineer in the field of motion control. You have experience in analytic-model based or neural network based, high real-time closed loop control systems. You have experience in sampling-based, graph-based or optimization-based path planning. You are familiar with modern C++ and python and eager to learn software development processes. You have basic knowledge with serial or parallel manipulators. You have basic knowledge in multi-robot simulation and understand the basic physics behind it. You love challenges, solve problems, work in a self-initiated way, happy to share knowledge, and are reliable. You are a team player, open, communicative, passionate, and ambitious. You are fluent in English, both written and spoken, and you have at least started learning German. Awesome if you have: Experience in sensor fusion based state estimation. You understand how to develop scalable high-quality software. You have experience with dockerized systems and Kubernetes. You can easily define a CI/CD pipeline, including packaging software for Conan or UV/Pip, that also runs test cases (gtest, pytest). You have knowledge in the field of VLAs or policy-based motion. Why us? Make an impact! Work on an innovative, deep tech product that adds value to the robotics world and to society! Become a crucial part of something new, big and exciting where you can truly make an impact! Our teams inspire! Cross-functional communication is key. You'll get to know many of your 100+ colleagues. Collaborate with great people on our international teams who value knowledge sharing and unique ways of doing things! Be authentic! Work in a value-driven environment where everything may not be perfect, but we're working on it! Your feedback is required while you receive feedback and appreciation for your work! Help others! You can have up to 3 days of volunteer time off to help your favorite charity. Develop yourself! We offer training and mental health opportunities so that you can develop both mentally and professionally. And there is even more! Enjoy our free lunch, snacks and drinks, team events, 30 days of annual vacation + additional rest during Christmas season until New Year. If your child gets sick, we assure that a 100% of your usual earnings will be paid while you take care of your little one. Find Jobs in Germany on Arbeitnow

Your mission At Wandelbots, we are building NOVA, a platform that makes industrial robot programming accessible to everyone. Our Simulation team develops the technologies that allow partners, customers, and internal teams to work with photorealistic digital twins of real production environments. This includes a pipeline that transforms real-world scans into usable 3D scenes through Gaussian Splatting, as well as a browser-based streaming platform built on NVIDIA Omniverse and Isaac Sim. Both technologies work today, but neither is yet operated as a product. Your mission is to change that. The first step is internal standardization. We want to replace individually maintained environments and hand-crafted deployments with one reproducible, documented solution that teams can use independently: scene in, session out, without requiring the Simulation team to operate every setup. The second step is external productization. The same capabilities need to be packaged so that partners and customers can operate them in their own environments. E.g. with versioned releases, stable interfaces, tenant isolation, diagnostics, upgrade paths, and documentation. You will join the Simulation team and focus on the infrastructure and operational foundations of these systems. You will not be building them in isolation: Wandelbots has an established infrastructure team responsible for shared infrastructure and platform capabilities. You will work closely with that team while owning the simulation-specific workloads, deployment patterns, and operational requirements. This is a hands-on engineering role with room to shape architecture and make technical decisions in collaboration with the teams involved. What you will work on Build and operate the GPU infrastructure required by our simulation workloads, including NVIDIA GPU Operator, device plugins, driver lifecycle, and GPU sharing through MIG or time slicing Work with the infrastructure team to integrate simulation workloads into our shared Kubernetes and cloud infrastructure Make deployments declarative and reproducible using Infrastructure as Code and GitOps, and help consolidate the tooling used across today's environments Own CI/CD and the container and image lifecycle for CUDA - and NGC -based workloads Design scheduling and autoscaling for two distinct workload profiles: latency-sensitive interactive streaming sessions and compute-intensive Gaussian Splatting jobs Turn the Gaussian Splatting pipeline into a reproducible workflow, from data capture and training to OpenUSD assets Operate and extend our Omniverse and Isaac Sim streaming platform, including Kit App Streaming, session lifecycle, and tenant isolation Establish the platform as an internal standard through self-service workflows, golden paths, templates, onboarding, and documentation Prepare the solution for operation by partners and customers through packaged deployments, versioned releases, upgrade paths, and actionable diagnostics Support deployments across cloud, on-premises, and partner-managed environments Build meaningful observability using metrics, logs, GPU telemetry, and actionable alerting Define the simulation-specific security and access model, including ingress, TURN and STUN for WebRTC, RBAC , secrets management, SSO , and tenant boundaries Work closely with our robotics, product, and platform teams to ensure that the solution supports real development and customer workflows Your profile We are looking for an engineer who is interested in how complex systems are built, deployed, and operated, not only in delivering the next application feature. You should bring: Experience building or operating production systems in platform engineering, infrastructure, SRE, DevOps, or systems software Practical Kubernetes experience, including resource management, workload scheduling, and debugging distributed systems under load Experience with Infrastructure as Code, GitOps, and CI/CD, together with the ability to evaluate tools based on the problem rather than a fixed preference Solid knowledge of Linux, containers, and networking Good Python skills for automation, services, and data-processing workflows Experience with GPU workloads, or a strong technical foundation and clear interest in working with drivers, CUDA , and GPU scheduling The ability to turn working technology into a system that other teams can use independently A strong sense of operational ownership, including documentation, diagnostics, maintainability, and reproducibility Very good English; German is a plus We do not expect candidates to have prior experience with every technology in this description. A strong systems foundation, the ability to learn unfamiliar components, and an interest in this problem space are more important than matching every item. The scope and responsibilities of the role will grow with your experience. Nice to have Experience turning an internally developed system into a product that can be operated in customer-controlled environments Hands-on experience with NVIDIA Omniverse, Isaac Sim, Kit SDK, or OpenUSD Experience with Gaussian Splatting, NeRF , photogrammetry, or comparable 3D reconstruction pipelines Knowledge of WebRTC, pixel streaming, or other low-latency video technologies Python, Rust, or Go skills sufficient to contribute to existing services and infrastructure tooling Experience with robotics or simulation, such as ROS 2 or sim-to-real workflows Experience with multi-tenant platforms, air-gapped deployments, or customer environments with specific security and compliance requirements Why us? Make an impact! Work on an innovative, deep tech product that adds value to the robotics world and to society! Become a crucial part of something new, big and exciting where you can truly make an impact! Our teams inspire! Cross-functional communication is key. You'll get to know many of your 100+ colleagues. Collaborate with great people on our international teams who value knowledge sharing and unique ways of doing things! Be authentic! Work in a value-driven environment where everything may not be perfect, but we're working on it! Your feedback is required while you receive feedback and appreciation for your work! Help others! You can have up to 3 days of volunteer time off to help your favorite charity. Develop yourself! We offer training and mental health opportunities so that you can develop both mentally and professionally. And there is even more! Enjoy our free lunch, snacks and drinks, team events, 30 days of annual vacation + additional rest during Christmas season until New Year. If your child gets sick, we assure that a 100% of your usual earnings will be paid while you take care of your little one. Find more English Speaking Jobs in Germany on Arbeitnow

Description Legartis is a leading Legal AI company transforming how organizations manage and work on their contracts. As we scale across DACH and into new European markets, we want the way we work internally to scale with us, without adding headcount for every manual process. We are looking for an AI Automation Engineer with a solid software engineering background who finds the repetitive work across our teams and automates it: with code, with AI, and with systems that keep running long after the demo. Your mission Identify manual, repetitive workflows across Sales, Customer Success, Finance and Operations, and replace them with reliable automation. Design, build and operate internal tools, integrations and AI agents in Python: version controlled, tested, monitored and deployed through CI/CD. Integrate our internal systems (e.g. HubSpot, Younium, Google Workspace, Slack, Linear and our own product platform) via REST APIs, webhooks and event driven pipelines on our Kafka based platform. Build LLM powered workflows and agents, e.g. on AWS Bedrock, for tasks such as data enrichment, document handling, triage and reporting. Host and run what you build: deployment, monitoring, updates, backups and security patches. You build it, you run it. Own the internal tool stack and its integrations end to end, and keep it documented so others can rely on it. Your profile 3 or more years of professional software engineering experience, ideally in Python (TypeScript is fine too). You code with AI every day: you use AI coding tools such as Claude Code or Cursor to ship faster, and you have the engineering judgement to review, test and own what they produce. A solid understanding of systems: APIs, webhooks, databases and how data flows between tools. Experience hosting and operating services: Docker, Linux, CI/CD and at least one cloud, ideally AWS. Comfortable with SQL and data modelling. Understanding of event driven architectures and messaging systems such as Kafka is a plus. Experience building with LLM APIs or agent frameworks is a plus. A structured, ownership driven way of working, comfortable in a fast moving scale up where not everything is documented yet. Fluent English, German is a plus. Why us? Legartis exists to unlock legal work at scale. Work in a Legal AI scale up with a flat hierarchy and a team that takes the work seriously without taking itself too seriously. Real ownership from day one. Competitive compensation package including participation in our Employee Stock Option Plan. Hybrid work environment with at least two days / week in our Leipzig office. Regular team events in Germany and Switzerland. Build with the newest AI tooling every day, and shape how a fast-growing AI company runs internally. Your first 90 days In your first month you map our internal workflows and tool stack and ship your first automation to production. By day 60 you have taken over hosting and operation of our existing internal tools and integrations. By day 90 you have delivered a prioritised automation roadmap and at least three automations that save the team measurable time every week. Process Send us your CV, a short note on why this role fits you is welcome. If we think that this could be a fit, we invite you to the application process: Conversation with the hiring manager to get to know each other Conversation with the line manager to understand the role better, including a technical deep dive on your engineering, automation and hosting experience. A practical engineering exercise based on a real Legartis scenario, so that you know what to expect from the job and that we understand how you work. A "meet the team" round to meet whom you would be working with. If there is a mutual fit, we welcome you to the team. Find Jobs in Germany on Arbeitnow

Description Legartis is a leading Legal AI company transforming how organizations manage and work on their contracts. As we scale across DACH and into new European markets, our go to market engine needs an operational backbone that keeps pace with it. We are looking for a software engineer with RevOps tooling experience to own HubSpot and the integrations around it end to end, and to build our GTM stack into a reliable, well-engineered system that Sales, Marketing and Customer Success build on every day. Your mission Own HubSpot as our core GTM system: architecture, workflows, automations, custom properties and integrations across the wider tool stack, including Younium for subscription and billing data. Design, build and operate the integrations and data pipelines between HubSpot, Younium and our product platform as production software: written in Python, version controlled, tested, monitored and deployed through CI/CD. Build event driven integrations on our Kafka based platform, so that product, usage and billing events flow reliably into the GTM stack. Design and enforce a clean data foundation, with consistent lifecycle stages, lead status, deal stages, attribution logic and territory and tier structures that hold up as the team grows. Build and maintain the reporting and dashboards that give Sales, Marketing and leadership real time visibility into pipeline, forecast and rep level performance. Partner closely with Sales leadership on the metrics that matter and own the infrastructure that surfaces them reliably. Act as the connective tissue between Sales, Marketing and Customer Success, keeping funnel definitions and handoffs consistent end to end. Support forecasting, pipeline reviews and deal desk style workflows, including approvals and pricing exceptions, alongside Sales leadership. Translate commercial priorities into system level changes: lead routing and scoring, territory design, comp structure alignment. Your profile 3 or more years as a software engineer, including hands on work with Revenue Operations, Sales Operations or Marketing Operations tooling, ideally in B2B SaaS. Strong software engineering fundamentals, ideally in Python: clean, tested and maintainable code, version control, code review and CI/CD. You code with AI every day: you use AI coding tools such as Claude Code or Cursor to ship faster, and you have the engineering judgement to review, test and own what they produce. A solid understanding of B2B sales processes and the tools around them: pipeline stages, lead routing, forecasting, quoting and billing. A track record of integrating a CRM with other business tools (e.g. billing, marketing, support) via REST APIs and webhooks, writing the integration code yourself rather than relying on no code tools. Understanding of event driven architectures and messaging systems such as Kafka: producers and consumers, idempotency, error handling and retries. Comfortable with SQL and data modelling. Nice to have: experience hosting and operating the services you build, e.g. Docker, Kubernetes, cloud infrastructure such as AWS, and monitoring. Deep hands on HubSpot expertise at admin and API level: workflows, custom properties, reporting, permissions. Experience with Salesforce or another CRM is a plus. A track record of building or cleaning up CRM data foundations at scale, not just running reports on top of someone else's setup. Strong analytical instincts and comfort turning messy data into a dashboard people actually use. Experience working cross functionally with Sales, Marketing and Customer Success, and the confidence to push back when something does not add up. A structured, ownership driven way of working, comfortable in a fast moving scale up where not everything is documented yet. Fluent English, German is a plus given our DACH customer base. Why us? Legartis exists to unlock legal work at scale. Work in a Legal AI scale up with a flat hierarchy and a team that takes the work seriously without taking itself too seriously. Real ownership from day one. Competitive compensation package including participation in our Employee Stock Option Plan. Hybrid work environment with at least two days / week in our Leipzig office. Regular team events in Germany and Switzerland. The chance to shape how a fast-growing GTM organization actually runs, not just report on it after the fact. Your first 90 days In your first month you audit the current HubSpot instance and ship the first version of our data foundation cleanup: lifecycle stages, lead status, attribution. By day 60 you deliver the first rep level pipeline dashboard for Sales leadership. By day 90 you have proposed a roadmap for lead routing, scoring and the next phase of GTM tooling integration. Process Send us your CV, a short note on why this role fits you is welcome. If we think that this could be a fit, we invite you to the application process: Conversation with the hiring manager to get to know each other Conversation with the line manager to understand the role better, including a technical deep dive on your engineering, integration and HubSpot experience. A practical engineering exercise based on a real Legartis scenario, so that you know what to expect from the job and that we understand how you work. A "meet the team" round to meet whom you would be working with. If there is a mutual fit, we welcome you to the team. Find Jobs in Germany on Arbeitnow

About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX — foundational technologies that changed how the world creates images and videos. Our FLUX models are among the most advanced in the world, and we're just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role Frontier image and video models are now good enough that the hard question is no longer whether they work, but whether a new one is actually better, and how you'd know. Aesthetics, prompt following, editing fidelity, text rendering, character consistency: none of these collapse into a single number, and public benchmarks have fallen well behind the models they're meant to measure. You'll work on the system BFL uses to answer that question. Every FLUX checkpoint, every finetuning and RL run, and every competitor release goes through our evaluation stack, and you'll help build and sharpen it. Product Research relies on what it shows to decide what to fix next, and to confirm the fix worked. It gets harder from here. FLUX 3 is our first multimodal model, spanning image, video, audio and action, and each new modality needs its own way of being measured. What You'll Work On What you focus on will depend on where you're strongest and what the team needs most when you join. In scope: Building and maintaining the evaluation stack that every model checkpoint has to pass through and prove itself on, from automated benchmarking and LLM-as-judge pipelines, to human evaluation through panels (Prolific and otherwise). Designing the breadth of evaluation across the taxonomy, from prompt adherence, editing fidelity, aesthetics, text rendering, subject and character consistency, to safety. Evaluating the evaluation stack itself: checking that human and automated evals agree, that results stay stable over time, and improving them when they don't. Benchmarking FLUX against the frontier models continuously, while obtaining a meaningful perspective on where we are better or worse than competitors and what such differences really mean. Finding the ways in which the quality of the model's output falls short that are not captured by aggregate numbers. Closing the loop, ideally, with the RL and finetuning researchers, by defining target metrics for them to aim for, and verifying that a new checkpoint improved the weakness without introducing new ones. Designing how best to exploit the signals we already capture through the API and MCP, and what new signals we should capture, with help from research, data engineering and legal. Maintaining the usefulness of existing metrics as their natural lifecycle brings up concerns of gaming and overfitting, and anticipating this for new metrics. What We're Looking For You have made meaningful contributions to the evaluation of generative models already. You understand that a benchmark figure without careful consideration of sample size and judge agreement with humans is at best uninformed optimism and at worst dangerously misleading, and you have been the person that found that inconvenient regression that nobody wanted to talk about. You likely have: Advanced degree (MS/PhD) in a relevant field or demonstrated equivalent practical experience Practical experience with evaluating generative models, in a hands-on way. You may have worked with diffusion or flow-matching based image or video models already, but the capability to evaluate them in earnest transfers to other modalities too Very strong Python and software engineering skills, with pipelines that run reliably and that other people can read if needed Working knowledge of PyTorch and modern ML infrastructure and practices; you are not a pure Python developer, you know what the modern ML code looks like Strong grasp of statistics and its shortcomings in practice, and how to work with those; sample sizes, inter-annotator agreement, confidence levels, etc., and a healthy skepticism about what those numbers say about the world Practical experience with building and operating LLM-as-judge systems, and understanding their limitations Working knowledge of modern benchmarking practices and of standard datasets and benchmarks in the field already; you have an idea of which to trust and which to disregard The inclination to look at the actual outputs your system is judging, and to care about what is there beyond an aggregate score We'd be especially excited if you: Have practical experience with human evaluation, including study design and execution via panels, and analysis of disagreements and annotator performance Have worked where evaluation meets training (reward models, preference data, RLHF, DPO or similar) and know that whatever you optimize for is what the model learns Have evaluated agentic or multi-step systems and know how hard it is to attribute success or failure to a single step Have built tools that people actually want to use internally Have made public contributions to the field: papers, open source, or otherwise How We Work Together We're a distributed team with real offices that people actually use. This role is based in Freiburg, where you'll join us at least 2 days a week (or one full week every other week). We'll cover reasonable travel costs to make this possible. We think in-person time matters, and we've structured things to make it accessible to all. We'll discuss what this will look like during our interview process. Everything we do is grounded in four values: Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful. Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task. Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect. Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos. If this sounds like work you'd enjoy, we'd love to hear from you. Compensation : €150K-€220K base + equity depending on experience Find more English Speaking Jobs in Germany on Arbeitnow

About Us ZF LIFETEC is one of the world's leading suppliers of passive safety systems. As Simi Automotive, a global innovation leader for motion capture software and complete systems for recording and analyzing human movements and a subsidiary of ZF LIFETEC, we contribute our experience with camera-based systems to developing solutions for vehicle interior monitoring and occupant safety. We are working in collabration with ZF Lifetec teams to monitor the quality of production processes using AI. Your Role We are looking for a motivated and skilled ML Engineer to join our AI team. In this role, you will contribute to a range of exciting projects in production quality monitoring and vehicle interior monitoring. Working closely with software developers and data engineers, you will help design, train, deploy, and evaluate state-of-the-art machine learning algorithms for our automotive demonstrators. Your Responsibilities Translate high-level requirements into a well-defined ML strategy Identify state-of-the-art machine learning and computer vision techniques suited to our use cases Design, implementation, and analysis of machine learning and computer vision applications, from proof-of-concept to production Train and evaluate deep neural networks for tasks such as image classification, object detection, segmentation, and pose estimation Develop well-structured, documented code for training pipelines, data pipelines, qualitative analysis, and performance evaluation Perform data sampling and analysis for specific ML tasks Analyze and document the quantitative and qualitative performance of ML models Provide feedback and recommendations on data collection and labeling Monitor and analyze model performance in production environments Your Profile Master's degree in Computer Science or a related field (please include your diploma and transcript with your application) At least 3 years of professional experience in machine learning and computer vision, or a PhD in machine learning Hands-on experience training and evaluating models for tasks such as object detection, classification, keypoint detection, and segmentation Solid knowledge of current neural network architectures Experience using Microsoft Azure for ML workflows Strong programming skills in Python and relevant libraries such as PyTorch and OpenCV Nice to Have Experience implementing research papers, ideally showcased on a personal GitHub profile Understanding of data distributions and their impact on model training Knowledge of and experience in applying modern software engineering best practices What We Offer The opportunity to take on responsibility and make a real impact Flat hierarchies and flexible working hours A new, modern office in Unterschleißheim, with the option to work from home part of the time A highly motivated team of software developers and machine learning experts working together to make driving even safer Working in an agile (Scrum) setting on a variety of ML tasks with real impact on production efficiency. Interested? We look forward to receiving your application! Please let us know your earliest possible start date and your salary expectations. Find more English Speaking Jobs in Germany on Arbeitnow

Gemeinsam großartig – werde Teil des Teams Du willst als Software Engineer mit Python , APIs und Automatisierungen an Lösungen arbeiten, die direkt im operativen Alltag eingesetzt werden? In dieser Rolle entwickelst du interne Tools, Services und Schnittstellen, übersetzt Anforderungen aus den Fachbereichen in pragmatische technische Lösungen und verbindest bestehende Systeme sinnvoll miteinander. Dabei arbeitest du mit modernen Webtechnologien, Datenbanken und API-basierten Integrationen und entwickelst deine Lösungen von ersten Prototypen und MVPs Schritt für Schritt zu stabilen, wartbaren Anwendungen weiter. Deine Mission Du entwickelst neue und bestehende interne Anwendungen und Services mit Python weiter und setzt konkrete Anforderungen aus unserem operativen Geschäft technisch um. Du arbeitest gemeinsam mit unseren Fachbereichen daran, Business-Anforderungen zu verstehen, zu strukturieren und daraus pragmatische technische Lösungsansätze, Prototypen und MVPs zu entwickeln. Du erkennst gemeinsam mit dem Team Automatisierungs- und Optimierungspotenziale und verbindest bestehende Systeme über APIs, Datenbanken und Schnittstellen. Du entwickelst funktionierende Prototypen zu stabilen und wartbaren Lösungen weiter und bekommst bei Architekturfragen sowie der Integration in zentrale Systeme Unterstützung und Sparring aus unserem technischen Team und dem Core Platform Team. Du sorgst mit sauberem und testbarem Code, automatisierten Tests und verständlicher technischer Dokumentation für die Qualität deiner Lösungen und nutzt moderne AI-Tools dort, wo sie deine Arbeit sinnvoll unterstützen. Deine Talente Du hast bereits praktische Erfahrung in der Softwareentwicklung gesammelt und eigenständig an Anwendungen, Tools oder Automatisierungen gearbeitet. Gute Kenntnisse in Python und/oder JavaScript beziehungsweise TypeScript bringst du bereits mit. Du hast ein gutes Grundverständnis von APIs, Datenbanken und grundlegenden Software-Architekturen und hast bereits mit Git sowie kollaborativen Entwicklungsprozessen gearbeitet. Du kennst die Grundlagen von sauberem, wartbarem und testbarem Code und hast idealerweise bereits erste Berührungspunkte mit CI/CD, automatisierten Tests oder Docker. Du musst darin noch kein Profi sein. Du denkst gerne über die reine technische Umsetzung hinaus, interessierst dich für den Business-Kontext und hast Lust, Anforderungen gemeinsam mit technischen und nicht-technischen Stakeholdern weiterzuentwickeln. Gleichzeitig bist du neugierig, lernbereit und offen für Feedback. Du nutzt AI-Tools wie ChatGPT, Claude, Cursor oder vergleichbare Anwendungen bereits im Entwicklungsalltag oder möchtest dich stärker damit beschäftigen und lernen, sie sinnvoll und verantwortungsvoll einzusetzen. Du verfügst über Deutschkenntnisse auf mindestens C1-Niveau für die Zusammenarbeit mit unseren Fachbereichen sowie Englischkenntnisse auf mindestens C1-Niveau für technische Dokumentation, Tools und Code. Tech Stack Python | FastAPI | Docker | CI/CD | Git | SQL Unser Angebot #Flexibilität: Deutschlandweites Home-Office und flexible Arbeitszeiten schaffen einen Alltag, der sich an dich anpasst, und sorgen für maximale Produktivität und Work-Life-Balance. Wir unterstützen dich dabei außerdem mit einer monatlichen Pauschale von 20,00 Euro für deine laufenden Neben- und Internetkosten. #YourTech2Shine: Mac oder Windows? Du entscheidest. Dazu liefern wir dir die passende Home-Office-Ausstattung für maximale Produktivität. #StarkesDuGesundesWir: Von JobRad und Hansefit-Mitgliedschaft bis zu (Online-) Gesundheitstagen und physiotherapeutischen Massagen vor Ort, ergonomisch ausgestatteten Büros, Betriebsärztin, Vertrauensperson und umfangreichem betrieblichem Gesundheitsmanagement – wir fördern aktiv deine Gesundheit und dein Wohlbefinden. #Ausgewogenheit: 30 Tage Urlaub, Zeiterfassung mit Überstundenausgleich – selbstverständlich. Mit zahlreichen Sportgeräten im Office, Fitness- und Coffee-Breaks oder auch Corporate Benefits für mehr Spaß beim Shoppen setzen wir Ansätze für regenerative Pausen. Zeit ist ein Investment. In dich und uns. #Gestaltungsmöglichkeiten: Je nach deinen Interessen und Stärken kannst du deine Expertise in spannende Projekte einbringen und gemeinsam mit WattFox unser Wachstum und unseren Erfolg mitgestalten. #AnkommenUndLoslegen: Wir legen Wert auf eine strukturierte Einarbeitung. Daher geben wir dir sowohl kulturell als auch fachlich alles mit, damit du dich bestmöglich entwickeln kannst. #GemeinsamGroßartig: Als kununu Top Company 2026 stehen bei uns Erfolg, Teamgeist und Spaß im Vordergrund. Bleib durch unsere unternehmensweiten Jourfixe am Ball und erlebe Sommerfeste, Weihnachtsfeiern, Stammtische und viele Events mehr, die unser Wir-Gefühl stärken. Wer wir sind Seit 2011 vom Start-up zum grünen Marktführer! Jeden Monat unterstützen wir mehrere zehntausend Menschen dabei, nachhaltige Energielösungen zu finden und einfach richtige Entscheidungen zu treffen. Wir gehen die Hürde zwischen Verbrauchenden und Anbietenden mit unseren Online-Angebotsvergleichen an, ermitteln die individuellen Bedürfnisse der Anfragenden und bringen sie mit den passenden Anbietenden zusammen – ein Win-Win für alle. Interesse geweckt? Deine Ansprechpartnerin für diese Position ist Antonia – bei Fragen kannst du dich jederzeit direkt an sie wenden: Find Jobs in Germany on Arbeitnow

Gemeinsam großartig – werde Teil des Teams Du willst als Software Engineer mit Python , APIs und Automatisierungen an Lösungen arbeiten, die direkt im operativen Alltag eingesetzt werden? In dieser Rolle entwickelst du interne Tools, Services und Schnittstellen, übersetzt Anforderungen aus den Fachbereichen in pragmatische technische Lösungen und verbindest bestehende Systeme sinnvoll miteinander. Dabei arbeitest du mit modernen Webtechnologien, Datenbanken und API-basierten Integrationen und entwickelst deine Lösungen von ersten Prototypen und MVPs Schritt für Schritt zu stabilen, wartbaren Anwendungen weiter. Deine Mission Du entwickelst neue und bestehende interne Anwendungen und Services mit Python weiter und setzt konkrete Anforderungen aus unserem operativen Geschäft technisch um. Du arbeitest gemeinsam mit unseren Fachbereichen daran, Business-Anforderungen zu verstehen, zu strukturieren und daraus pragmatische technische Lösungsansätze, Prototypen und MVPs zu entwickeln. Du erkennst gemeinsam mit dem Team Automatisierungs- und Optimierungspotenziale und verbindest bestehende Systeme über APIs, Datenbanken und Schnittstellen. Du entwickelst funktionierende Prototypen zu stabilen und wartbaren Lösungen weiter und bekommst bei Architekturfragen sowie der Integration in zentrale Systeme Unterstützung und Sparring aus unserem technischen Team und dem Core Platform Team. Du sorgst mit sauberem und testbarem Code, automatisierten Tests und verständlicher technischer Dokumentation für die Qualität deiner Lösungen und nutzt moderne AI-Tools dort, wo sie deine Arbeit sinnvoll unterstützen. Deine Talente Du hast bereits praktische Erfahrung in der Softwareentwicklung gesammelt und eigenständig an Anwendungen, Tools oder Automatisierungen gearbeitet. Gute Kenntnisse in Python und/oder JavaScript beziehungsweise TypeScript bringst du bereits mit. Du hast ein gutes Grundverständnis von APIs, Datenbanken und grundlegenden Software-Architekturen und hast bereits mit Git sowie kollaborativen Entwicklungsprozessen gearbeitet. Du kennst die Grundlagen von sauberem, wartbarem und testbarem Code und hast idealerweise bereits erste Berührungspunkte mit CI/CD, automatisierten Tests oder Docker. Du musst darin noch kein Profi sein. Du denkst gerne über die reine technische Umsetzung hinaus, interessierst dich für den Business-Kontext und hast Lust, Anforderungen gemeinsam mit technischen und nicht-technischen Stakeholdern weiterzuentwickeln. Gleichzeitig bist du neugierig, lernbereit und offen für Feedback. Du nutzt AI-Tools wie ChatGPT, Claude, Cursor oder vergleichbare Anwendungen bereits im Entwicklungsalltag oder möchtest dich stärker damit beschäftigen und lernen, sie sinnvoll und verantwortungsvoll einzusetzen. Du verfügst über Deutschkenntnisse auf mindestens C1-Niveau für die Zusammenarbeit mit unseren Fachbereichen sowie Englischkenntnisse auf mindestens C1-Niveau für technische Dokumentation, Tools und Code. Tech Stack Python | FastAPI | Docker | CI/CD | Git | SQL Unser Angebot #HybridFlex: Passe deine Arbeitszeiten an deine Produktivität an und arbeite mit unserem Hybrid-Work-Modell flexibel von zu Hause oder unseren zentralen Offices. Wir geben dir den Raum, den du brauchst. #YourTech2Shine: Mac oder Windows? Du entscheidest. Dazu liefern wir dir die passende Home-Office-Ausstattung für maximale Produktivität. #StarkesDuGesundesWir: Von JobRad und Hansefit-Mitgliedschaft bis zu (Online-) Gesundheitstagen und physiotherapeutischen Massagen vor Ort, ergonomisch ausgestatteten Büros, Betriebsärztin, Vertrauensperson und umfangreichem betrieblichem Gesundheitsmanagement – wir fördern aktiv deine Gesundheit und dein Wohlbefinden. #Ausgewogenheit: 30 Tage Urlaub, Zeiterfassung mit Überstundenausgleich – selbstverständlich. Mit zahlreichen Sportgeräten im Office, Fitness- und Coffee-Breaks oder auch Corporate Benefits für mehr Spaß beim Shoppen setzen wir Ansätze für regenerative Pausen. Zeit ist ein Investment. In dich und uns. #Gestaltungsmöglichkeiten: Je nach deinen Interessen und Stärken kannst du deine Expertise in spannende Projekte einbringen und gemeinsam mit WattFox unser Wachstum und unseren Erfolg mitgestalten. #AnkommenUndLoslegen: Wir legen Wert auf eine strukturierte Einarbeitung. Daher geben wir dir sowohl kulturell als auch fachlich alles mit, damit du dich bestmöglich entwickeln kannst. #GemeinsamGroßartig: Als kununu Top Company 2026 stehen bei uns Erfolg, Teamgeist und Spaß im Vordergrund. Bleib durch unsere unternehmensweiten Jourfixe am Ball und erlebe Sommerfeste, Weihnachtsfeiern, Stammtische und viele Events mehr, die unser Wir-Gefühl stärken. Wer wir sind Seit 2011 vom Start-up zum grünen Marktführer! Jeden Monat unterstützen wir mehrere zehntausend Menschen dabei, nachhaltige Energielösungen zu finden und einfach richtige Entscheidungen zu treffen. Wir gehen die Hürde zwischen Verbrauchenden und Anbietenden mit unseren Online-Angebotsvergleichen an, ermitteln die individuellen Bedürfnisse der Anfragenden und bringen sie mit den passenden Anbietenden zusammen – ein Win-Win für alle. Interesse geweckt? Deine Ansprechpartnerin für diese Position ist Antonia – bei Fragen kannst du dich jederzeit direkt an sie wenden: Find Jobs in Germany on Arbeitnow

About BlockTech BlockTech is a fast-paced algorithmic trading firm trading crypto derivatives and spot across global venues, 24/7, with our own capital. Crypto is one of the few markets where a researcher can still move the edge. The data is abundant, the microstructure is novel, and the loop between an idea and live PnL is short. High-frequency options trading is where we're strongest, and we're widening our scope to include more mid-frequency work. We're looking for a senior Quantitative Researcher with a mid-frequency background to join our Amsterdam trading floor. The role You'll be in charge of developing our mid-frequency capabilities, owning the research agenda end to end, from hypothesis and dataset construction through model training and backtesting to live deployment. You'll sit with traders, researchers, and analysts, and raise the bar for research across the floor. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 3+ years of quantitative research experience at a hedge fund, trading firm, or similar, with mid-frequency models you've taken live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, or computer science) Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep grasp of overfitting, validation design, and feature engineering. You can explain why a model works, not just that it does Software engineering instincts: you write production-grade code that others can read, test, and run The judgment to prioritize your own research bets, and clear communication with traders and engineers Nice to have A mid-frequency track record in crypto derivatives markets Experience mentoring or leading other researchers What's in it for you? A seat on a trading floor where research, engineering, and trading happen a few meters apart, guaranteeing short feedback loops, real ownership, and direct impact on live PnL Competitive compensation consisting of a base salary combined with a very attractive bonus plan based on individual and company performance. Outstanding performance is rewarded with the opportunity to buy into the trading fund Pension plan, company laptop, and reimbursement of your internet costs at home An extensive in-house training program and an annual learning & development budget, working at the forefront of automated trading using state-of-the-art technology, in an environment that embraces AI to both accelerate productivity and advance our systems and models Gym membership reimbursement and the opportunity to engage in various sports during working hours, including kickboxing, CrossFit, fitness, and soccer, plus regular social events including weekly Friday drinks, monthly outings, quarterly sports competitions, and bi-annual trips abroad Daily breakfast and warm lunch, with snacks and drinks provided throughout the day. For internationals: all-in relocation package and Dutch classes Our culture At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals. In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities. We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees. Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading. Find Jobs in Netherlands on Arbeitnow