director, it engineering - end user support

ai engineer for llm ops & evaluation (m/f/d)

senior applied ai / ml data engineer (f/m/x)

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director, it engineering - end user support Jobs in Munich

senior software engineer

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advisory solution consultant

ai engineer (m/w/d)

ai engineer for llm ops & evaluation (m/f/d) Jobs in Munich

ai solutions engineer d f m

Airbus

<div>Job Description:
In order to support us, Airbus Defence and Space is looking for an 
<h1 class="jobSectionHeader"> 
AI Solutions Engineer (d/f/m)
</h1>At Airbus Defence and Space, AI and data are our most strategic assets. As a forward deployed AI (artificial intelligence) implementation lead, you are the technical expert who turns our AI capabilities and platforms into mission-critical AI solutions. Working closely with business lines and internal teams, you will be bridging the gap between mission-critical requirements, AI capabilities and operational needs. 
 
In your job, you will work closely with business teams, managing an end-to-end lifecycle of AI use cases from initial technical assessments and evaluation of possible solutions to deployment into production. You will be an integral part of the team responsible for the delivery of a wide range of AI solutions, incl. GenAI (generative AI) and autonomous agentic systems for complex workflows.
Your location
 
Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. You are into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour&rsquo;s reach, offering a multitude of recreational options.
The other possible locations for this role are:
Madrid / Getafe
 
Toulouse
Our Benefits for You
<ul><li>Fair Compensation &amp; Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
</li><li>Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
</li><li>Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
</li><li>Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
</li><li>Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA. 
</li></ul> 
Your tasks and responsibilities
<ul><li>Problem Discovery &amp; Feasibility: Partner with business leads, technical teams to review feasibility of AI use cases, identify technical bottlenecks and lead development of the required AI solutions from GenAI prompt engineering requests, to implementing RAG (retrieval augmented generation) pipeline, and end-to-end orchestrating of a full agentic solution.
</li><li>Tactical Implementation: Evaluate implementation requirements of AI use cases across various Airbus networks / deployment environments and available technology to make critical decisions to minimize end-user / operations impacts and individual AI use cases on the business. This may involve revision of API services, data connectors with tech. teams, optimization of prompts with end-users, and fine-tuning of available LLM (large language models) for optimal fit-for-purpose.
</li><li>Implementation of Agentic Systems: Where appropriate, drive key decisions on the design / implementation of Agentic AI workflows, enabling the GenAI platform to act as an orchestrator of multi-staging tasks, internal platforms, systems and tools while ensuring adherence to ethical guidelines of AI use.
</li><li>Platform Evolution: Act as forward deployed technical liaison and subject matter expert positioned between AI development teams and business teams, actively capturing issues, incidents, failures of individually deployed AI use cases and feed to development teams for future platform evolution.
</li><li>Sovereignty &amp; Compliance: Leverage understanding of applicable EU AI compliance policies, security standards and data sovereignty regulations for secure deployment and operations of AI use cases in Airbus environment.
</li><li>AI solutions delivery: Manage the end-to-end data science lifecycle for integrating GenAI features into existing solutions, focusing on data preparation, LLM fine-tuning, RAG implementation, and defining rigorous evaluation metrics to enhance the performance of the internal solution.
</li></ul>Desired skills and qualifications
<ul><li>Bachelor's Degree in computer science, software engineering, data science or other related technical discipline or preferably a Master&rsquo;s Degree in Artificial Intelligence (AI), Data Science, or Computer Science with specialization in cloud computing, DevOps and/or AI is preferred, reflecting the advanced nature of the role.
</li><li>A strong understanding of standard AI / GenAI/ Agentic AI development and implementation approaches into cloud platforms (AWS/GCP) and into containerized solutions (via Docker, Kubernetes, OpenShift).
</li><li>Expertise in development and implementation of LLMs, RAG pipelines, and Agentic AI across distributed environments and networks.
</li><li>Expertise in Agile, DevOps methodologies, and CI/CD (Continuous Integration / Continuous Deployment) practices, essential for the end-to-end delivery focus.
</li><li>Experience with scripting languages (e.g. Python , JavaScript, etc.) for automation and ML/DevOps libraries.
</li><li>At least 5+ years continuous working experience in a multinational company in software engineering, data science, and forward-deployed technical roles.
</li><li>Previous experience as a liaison between tech development and business teams
</li><li>Python / C++ expert level and experience working across the full stack applications to develop / integrate AI solutions into technology platforms, systems, network environments, etc.
</li><li>Mastery of vector databases, graph databases, and experience with basic data ingestion / data quality principles and workflows for evaluation of data sets for AI consumption.
</li><li>Experience with implementing rigorous scientific evaluation frameworks for optimal AI outputs.
</li><li>Recommended additional industry-recognized certifications (e.g. cloud platform certification, DevOps / Container certification, MLOps-specific certifications, etc.)
</li><li>Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced environment.
</li><li>Strong communication and collaboration abilities, and comprehensive end-user support and stakeholder management skills and ability to work independently and as part of a team in a fast-paced environment.
</li><li>Fluent English, German and English is a plus 
</li></ul> 
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
Take your career to a new level and apply online now! 
 
#MYCYM
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbH
Employment Type:
Permanent
-
Experience Level:
Professional
Job Family:
Digital &lt;JF-IM-DI&gt;
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

AI Solutions Engineer (d/f/m)

Manex AI

<div><h1 class="jobSectionHeader">AI Software Engineer (f/m/d)</h1><div>
</div><h2 class="jobSectionHeader">
About Us</h2>
Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.<div> 
</div><h2 class="jobSectionHeader">
Your Role</h2>
As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform &quot;Kosmos&quot; meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.
Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.<div> 
</div><h2 class="jobSectionHeader">
Your Responsibilities</h2><ul><li>
Direct software and AI application development within customer projects</li><li>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</li><li>
Support technical integration of our platform into customer IT landscapes</li><li>
Learn how production processes, IT infrastructure and AI products intersect</li><li>
Translate customer requirements into technical solutions and specifications</li></ul><div> 
</div><h2 class="jobSectionHeader">
Your Profile</h2><ul><li>
Degree in Computer Science, Information Systems, or similar</li><li>
0 to 4 years professional experience or internships in software engineering or similar</li><li>
Hands-on experience through projects, ventures, or product development</li><li>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</li><li>
Business-fluent in German and English</li><li>
Based in Munich or willing to relocate, ready to go all-in with us</li></ul><div> 
</div><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</li><li>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</li><li>
Top-of-market compensation with equity package</li><li>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</li><li>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</li></ul><div></div> 
Are you willing to start contributing to European autonomy at scale? Apply now!</div>

AI Software Engineer (f/m/d)

<div><h1 class="jobSectionHeader">AI Software Engineer - Internship (f/m/d)</h1><div></div> 
About Us 
Manex AI is on a mission to enable autonomy for the world's leading organizations, currently building the production system for the era of autonomous manufacturing. With our Seed Round raised from Lightspeed and BlueYard and leading manufacturing enterprises relying on our systems, we are now scaling fast. For our world-class team, we are looking for exceptionally driven students who want real ownership early.
Your Role 
You will build the software and AI applications that power autonomous manufacturing. You work on our platform &quot;Kosmos&quot; alongside our engineers, shipping features and AI-driven solutions that go straight into live production environments at industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co.
From your first week, you own pieces of real problems. You write code that goes into production, you see your work run inside real factories, and you learn exactly how technical decisions create measurable impact for some of the most demanding manufacturers in the world.
For interns who deliver, this is the fastest path into a full-time engineering role.
Your Responsibilities<ul><li>
Build software and AI application features within real customer projects</li><li>
Work alongside senior engineers to troubleshoot, document, and ship solutions</li><li>
Support the technical integration of our platform into customer environments</li><li>
Turn concrete customer requirements into working technical solutions</li><li>
Learn how production processes, IT infrastructure, and AI products come together</li></ul>
Your Profile<ul><li>
Currently studying Computer Science, Information Systems, or similar, towards the end of your Bachelor's or the start of your Master's</li><li>
Strong hands-on coding ability, proven through your own projects, ventures, or open-source work</li><li>
An ownership mindset: you take initiative, move fast, and finish what you start</li><li>
Ideally strong experience in Python, TypeScript and Docker</li><li>
Fluent in English and ideally in German as well</li><li>
Based in Munich or willing to relocate for the duration of the internship</li></ul>
We appreciate your application even if you don't tick all the boxes.
What We Offer<ul><li>
Real ownership from day one</li><li>
A fast-track into a full-time role
</li><li>Direct mentorship from senior engineers and direct access to founders</li><li>
Hands-on experience onsite with real customers, real production systems, and frontier AI</li><li>
A fast-paced environment backed by the world's best investors, with the world's leading organizations as customers</li></ul> 
Want to build real things at the edge of industrial AI? Apply now.</div>

AI Software Engineer - Internship (f/m/d)

INOVA Semiconductors GmbH

<div>Engineering the Connected Future
<h1 class="jobSectionHeader">Wir suchen aktuell: Senior Application Engineer - Digital (m/f/d) in M&uuml;nchen
</h1>Innovation im Fokus. Seit 1999 - profitabel, siebenfacher Wachstumschampion, Champions-League-Technologie. lnova Semiconductors ist Pionier f&uuml;r High-Speed-Daten&uuml;bertragung und smarte Beleuchtungsl&ouml;sungen im Automotive-Sektor. In M&uuml;nchen entwickeln wir die High-Tech-L&ouml;sungen f&uuml;r Infotainment, ADAS und das Automotive-Lichtdesign von morgen - rund 70 Mitarbeiter, die einander kennen: pers&ouml;nlich, sichtbar, ansprechbar.
Inova entwickelt mit APXpress das universelle High-Speed-Nervensystem f&uuml;r die n&auml;chste Generation von Netzwerken im Fahrzeug. Daf&uuml;r suchen wir Verst&auml;rkung f&uuml;r unser Applikationsteam. Wir validieren erste Prototypen und entwickeln zugeh&ouml;rige Hard- und Software.
Wie wir zusammenarbeiten: 
Wir bilden die technische Schnittstelle zwischen unseren Kunden und den Design-Teams. Wir arbeiten in einem fokussierten, l&ouml;sungsorientierten und internationalen Team. Kurze Wege, schnelle Entscheidungen, direkter Draht - bis hin zum CTO. Herausforderungen besprechen wir im Team auf Augenh&ouml;he und finden gemeinsam die besten Wege.
<h1 class="jobSectionHeader">Als Senior Application Engineer - Digital (m/f/d) sieht dein Alltag bei uns im Team konkret so aus</h1>
<ul><li>Softwareentwicklung &amp; Automatisierung: Du entwickelst Software in python und C/C++ zur Ansteuerung unserer Produkte, Messger&auml;te und Video-Analyzer.</li><li>
IC Validierung &amp; Charakterisierung: Du evaluierst und charakterisierst die Schnittstellen unserer neuesten Produkte (DP, HDMI, MIPI, Ethernet, I2C, PCIe).</li><li>
Referenzdesigns entwickeln: Du entwickelst Referenz-Designs und Applikationsboards mit dem Altium Designer.</li><li>
Team&uuml;bergreifende Zusammenarbeit: Du arbeitest in einem internationalen Team in enger Zusammenarbeit mit erfahrenen Ingenieuren aus Chipdesign, Feldapplikation und Produkttest, um unsere Produkte zur Marktreife zu bringen und die Anforderungen unserer Kunden zu erf&uuml;llen.</li><li>
Automotive-Innovationen gestalten: Du bist aktiv bei der Entwicklung von Projekten der bestehenden und n&auml;chsten Automobilgeneration beteiligt und bist ein wichtiger Ansprechpartner f&uuml;r unsere internationalen Kunden.</li></ul>
<h1 class="jobSectionHeader">Damit du dich in dieser Rolle wohlf&uuml;hlst &amp; wir gemeinsam die beste Hardware entwickeln, bringst du folgendes mit</h1>
<ul><li>Deine Basis: Ein abgeschlossenes Studium der Elektrotechnik, Nachrichtentechnik oder einer vergleichbaren Fachrichtung.</li><li>
Fundierte Berufserfahrung: Du verf&uuml;gst &uuml;ber mehrj&auml;hrige (ca. 3&ndash;5 Jahre) relevante Berufserfahrung im industriellen Umfeld.</li><li>
Software &amp; Scripting: Du verf&uuml;gst &uuml;ber Kenntnisse in python oder einer vergleichbaren Script-Sprache oder hast Erfahrung in der Programmierung von embedded systems.</li><li>
Laborger&auml;te: Du hast Kenntnisse im Umgang mit Laborger&auml;ten wie Oszilloskopen oder Video-Analyzern.</li><li>
Video &amp; Kamera-Schnittstellen: Du interessierst dich f&uuml;r Video- und Kameraschnittstellen und verf&uuml;gst &uuml;ber erste Kenntnisse in einer der Schnittstellen: DP, HDMI, MIPI, automotive Ethernet oder PCI.</li><li>
Mindset: Du kannst dich f&uuml;r komplexe elektronische Probleme begeistern und hast Spa&szlig; daran, neue Produkte in Betrieb zu nehmen. Du stehst gern mit Rat und Tat zur Seite und kommunizierst sicher auf Deutsch und Englisch.</li></ul>
Das rundet dein Profil ab (Nice-to-have):
<ul><li>PCB Design: Du hast Erfahrung in der PCB-Entwicklung (Altium Designer).</li><li>
FPGA Design: Du verf&uuml;gst &uuml;ber erste Kenntnisse im FPGA Design in Verilog oder VHDL.
</li><li>Statistik: Du verf&uuml;gst &uuml;ber Statistikkenntnisse und bist in der Lage, komplexe Probleme zu analysieren und deine Schlussfolgerungen darzustellen.</li></ul>
<h1 class="jobSectionHeader">Wir bieten dir</h1>
<ul><li>Du arbeitest bei Deutschlands Innovationsf&uuml;hrer in der Halbleiterindustrie, einem kontinuierlich profitabel wachsenden Unternehmen mit gesunder Basis</li><li>
Ausstattung, Tools und R&auml;ume auf der H&ouml;he der Technologie, die wir entwickeln</li><li>
Weiterentwicklungspfade, die zu dir passen - fachlich wie pers&ouml;nlich</li><li>
Du arbeitest haupts&auml;chlich aus unseren B&uuml;ror&auml;umen in M&uuml;nchen, die M&ouml;glichkeit f&uuml;r Homeoffice &amp; Workation besteht</li><li>
Faire Verg&uuml;tung &uuml;ber Branchenniveau: Was du leistest, wird gesehen und honoriert</li><li>
Betriebliche Zusatzleistungen: Altersvorsorge sowie Gruppenunfall- und Auslandsreisekrankenversicherung sowohl im Dienst als auch in deiner Freizeit</li><li>
Attraktive Corporate Benefits: z. B. Fahrrad-Leasing (Business Bike), bezuschusstes Essen in der Kantine sowie t&auml;glich frisches Obst und kostenfreie Getr&auml;nke</li><li>
Gemeinsame Team- und Firmenevents</li></ul>
<h2 class="jobSectionHeader">Klingt das gut? 
Dann bewerben Sie sich jetzt als Senior Application Engineer - Digital (m/f/d) in M&uuml;nchen. 
Wir freuen uns auf Sie!</h2></div>

Senior Application Engineer - Digital (m/f/d)

Agile Robots SE

<div>
 
 
 The AI Research Division of Agile Robots
 
 is looking for an
 
 ML Platform Engineer (m/f/d)
 
 , who will build and operate the distributed training, deployment, and experimentation infrastructure that research, data, and robotics teams depend on to move models from prototype to production.
 
 
 
 
 
 
 Your Responsibilities
 
 
 <ul>
 <li>
 
 Training Infrastructure:
 
 Design and scale distributed training workflows for large models using tools such as PyTorch Distributed, DeepSpeed, and cluster schedulers like SLURM or Kubernetes.
 </li>
 <li>
 
 ML Platform:
 
 Build and maintain containerised ML environments that support reproducible experimentation and benchmarking.
 </li>
 <li>
 
 CI/CD Pipelines:
 
 Develop and maintain CI/CD pipelines for machine learning systems to enable reliable testing, training, and deployment of models.
 </li>
 <li>
 
 Lifecycle Management:
 
 Implement experiment tracking, model versioning, and reproducibility workflows using tools such as ClearML or Weights &amp; Biases.
 </li>
 <li>
 
 Observability:
 
 Set up monitoring systems such as Prometheus and Grafana to track model performance and system health and detect drift in production.
 </li>
 <li>
 
 Cross-Team Collaboration:
 
 Work with research, data, and robotics teams to connect new models to robust production systems.
 </li>
 </ul>
 
 
 
 
 
 Essential Skills
 
 
 <ul>
 <li>
 
 Background and Experience:
 
 Degree in Computer Science, Software Engineering, or a related field, with professional experience building and operating ML or software infrastructure in production.
 </li>
 <li>
 
 Distributed Training:
 
 Experience designing and operating distributed training systems on Kubernetes and Docker, using PyTorch Distributed, DeepSpeed, and schedulers such as SLURM.
 </li>
 <li>
 
 CI/CD For ML:
 
 Experience building CI/CD pipelines that support reliable model testing, training, and deployment.
 </li>
 <li>
 
 Cloud Infrastructure:
 
 Experience operating ML workloads on cloud infrastructure, preferably AWS.
 </li>
 <li>
 
 Experiment Tracking:
 
 Hands-on experience with experiment tracking and model versioning using tools such as MLflow or Weights &amp; Biases.
 </li>
 <li>
 
 Observability:
 
 Experience with monitoring and drift detection using tools such as Prometheus and Grafana.
 </li>
 <li>
 
 Software Engineering:
 
 Python and system design skills, with experience building and operating ML systems beyond the prototype stage.
 </li>
 </ul>
 
 
 
 
 
 Beneficial Skills
 
 
 <ul>
 <li>
 
 Multimodal Systems:
 
 Experience with large-scale or multimodal ML systems such as vision-language-action models.
 </li>
 <li>
 
 Infrastructure As Code:
 
 Familiarity with infrastructure-as-code tools such as Terraform.
 </li>
 <li>
 
 ML Orchestration:
 
 Experience with ML pipeline and orchestration tools.
 </li>
 <li>
 
 Distributed Compute:
 
 Exposure to high-performance or distributed compute environments.
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 Dynamic high-tech company combined with financial soundness and world class investors.
 </li>
 <li>
 Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
 </li>
 <li>
 Lots of development opportunities in the context of our continued growth.
 </li>
 <li>
 Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
 </li>
 <li>
 Corporate Benefits Program that covers health, mobility and learning with 100 &euro; net per month.
 </li>
 <li>
 Modern office facilites with a rooftop terrace overlooking Munich, free drinks &amp; fruits, and regular company events contribute to a good working environment.
 </li>
 </ul>
 
 
 
 
 
 Agile Robots SE
 
 is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 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.
 
</div>

ML Platform Engineer (m/f/d)

<div>Job Description:
F&uuml;r Airbus Defence &amp; Space in Taufkirchen suchen wir eine(n)
Ground Segment Systems Engineer (d/f/m) zur Verst&auml;rkung des Teams &bdquo;System Delivery Germany&ldquo;.
Die Abteilung entwickelt Satellitenkommunikationssysteme f&uuml;r zivile und milit&auml;rische Kunden. Als Ground Segment Systems Engineer (d/f/m) arbeiten Sie an Konzepten, Entw&uuml;rfen, Entwicklungen und der technischen Beschaffung von Erweiterungen und Modifikationen des Bodensegments von SATCOMBw- und EDRS-Bodensegmenten, sowohl f&uuml;r neue Kunden als auch zur Unterst&uuml;tzung weiterer Satelliten.
Im Rahmen der Beschaffungsaktivit&auml;ten begleiten Sie die Entwicklungs- und Abnahmephasen von der Ausschreibung (RFP) bis zur endg&uuml;ltigen Abnahme der Bodensegment-Komponenten. Nach der Abnahme unterst&uuml;tzen Sie die Implementierung dieser Elemente in das Bodensegment bis zur Aufnahme des Live-Betriebs. W&auml;hrend der Betriebsphase sind Sie der technische Ansprechpartner f&uuml;r eventuelle Anomalien und unterst&uuml;tzen bei der technischen Problembehebung.
Diese Position vereint Kenntnisse aus verschiedenen Disziplinen und erfordert die F&auml;higkeit, &uuml;ber den Tellerrand hinauszudenken.
Ihr Standort
Unser Standort ist nur einen Katzensprung von M&uuml;nchen, der sch&ouml;nen Landeshauptstadt von Bayern, entfernt. Du magst Sport und andere Outdoor-Aktivit&auml;ten? Die Alpen und der Starnberger See sind in einer Stunde zu erreichen und bieten eine Vielzahl von Freizeitaktivit&auml;ten.
Ihre Vorteile
<ul><li>Attraktive Verg&uuml;tung und Sonderzahlungen
</li><li>30 Tage bezahlter Urlaub und zus&auml;tzliche freie Tage f&uuml;r besondere Anl&auml;sse
</li><li>Hervorragende Weiterbildungsm&ouml;glichkeiten und tolle internationale, konzernweite Entwicklungsperspektiven
</li><li>Sonderleistungen: arbeitgeberfinanzierte Altersvorsorge, Mitarbeiteraktienoptionen, verg&uuml;nstigtes Auto Leasing, Sonderkonditionen bei Versicherungen, Bezuschussung im &ouml;ffentlichen Personennahverkehr, Mitarbeitervorteile bei kooperierenden Unternehmen
</li><li>Vor-Ort-Einrichtungen: standortnaher Kindergarten, Arzt f&uuml;r Check-ups und andere gesundheitsbezogene Dienstleistungen, Kantine und Cafeteria, Fitness Studio
</li><li>Vereinbarkeit von Familie &amp; Beruf (Jobsharing, Teilzeitmodelle, flexible Arbeitszeiten, individuelle Auszeit)
</li><li>Arbeiten in einem diversen Umfeld, mit mehr als 140 Nationalit&auml;ten, in dem jede Stimme geh&ouml;rt wird
</li></ul>Ihre Aufgaben und Verantwortlichkeiten
<ul><li>Anforderungsmanagement mit DOORS im Bereich des Bodensegments und der unteren Ebenen.
</li><li>Durchf&uuml;hrung und Nachverfolgung von Konzeptentwicklungsaktivit&auml;ten im Bereich der Bodensystemtechnik, einschlie&szlig;lich, aber nicht beschr&auml;nkt auf Anforderungen, Schnittstellen, Benutzer- und Managementdatenfl&uuml;sse innerhalb des Bodensegments sowie TM/TC-Schnittstellen.
</li><li>Erstellung von Anforderungen f&uuml;r Bodensegment-Komponenten wie Bodenstationen, Missionskontrollzentrum, Satellitenkontrollzentrum, Nutzlastkontrollzentrum, Netzwerke einschlie&szlig;lich IT-Infrastruktur sowie Rechenzentren.
</li><li>Ausarbeitung von System-Abw&auml;gungen im Bereich der Bodensegmenttechnik und Unterst&uuml;tzung der Definition der Gesamtsystemarchitektur.
</li><li>Entwicklung von Verifikations- und Validierungskonzepten auf der Ebene des Bodensystems sowie Unterst&uuml;tzung relevanter Tests.
</li><li>Ausarbeitung des Betriebskonzepts sowie Vorbereitung der betrieblichen Anforderungen f&uuml;r das Bodensegment.
</li>Technische Unterst&uuml;tzung der Projektmanager bei der Planung, Vertrags&auml;nderungen sowie Identifizierung von Risiken und Chancen. 
<li>
</li></ul>Gew&uuml;nschte F&auml;higkeiten und Qualifikationen
<ul><li>Master-Abschluss in Mikrowellen-, Telekommunikations-, Elektronik- oder anderen verwandten Ingenieurdisziplinen.
</li><li>Fundierte Kenntnisse in der Bodensegmenttechnik, einschlie&szlig;lich technischer Schnittstellen, Datenfl&uuml;sse (f&uuml;r Benutzer- und Managementdaten) sowie TM/TC-Technik (sicher und unsicher).
</li><li>Umfangreiches Wissen in der Kommunikationstechnik, einschlie&szlig;lich RF-Link-Budgets und Antennendesign.
</li><li>Umfangreiche Erfahrung mit softwarebasierten Systemen, Netzwerken und IT-Infrastruktur.
</li><li>Erfahrung in der Bodensystemtechnik.
</li><li>Erfahrung in der Konstruktion, Entwicklung, Integration, Verifikation, Betrieb von Bodensystemen und den dazugeh&ouml;rigen Prozessen sowie Betriebsverfahren.
</li><li>Verhandlungssichere Kenntnisse in Englisch und Deutsch.
</li></ul>Kein 100%iges Match? Kein Grund zur Sorge! Airbus unterst&uuml;tzt Ihre pers&ouml;nliche Entwicklung mit ma&szlig;geschneiderten Entwicklungsl&ouml;sungen.
Bringen Sie Ihre Karriere auf ein neues Level und bewerben Sie sich jetzt online!
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbH
Employment Type:
Permanent
-
Experience Level:
Professional
Job Family:
Chief Engineering &amp; Architecture &lt;JF-EN-EA&gt;
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

Network Systems Engineer (d/f/m)

BMW Group

<div>
 
 ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!
 
 
 
 Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.
 
 
 We are an international team of experts shaping the future of intelligent mobility by developing privacy-first data and model solutions for BMW&rsquo;s next-generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.
 
 
 
 What awaits you?
 
 
 
 <ul>
 <li>
 You design data pipelines for ingestion, curation, pseudonymization, and versioning.
 </li>
 <li>
 Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
 </li>
 <li>
 You set up experiment tracking and artifact registries for model variants.
 </li>
 <li>
 Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.
 </li>
 <li>
 You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
 </li>
 <li>
 You build and operate the data pipelines and provide self-serve tools for the team.
 
 
 
 </li>
 </ul>
 
 What should you bring along?
 
 
 
 <ul>
 <li>
 University degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.
 </li>
 <li>
 Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.
 </li>
 <li>
 Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
 </li>
 <li>
 Motivation to embrace customer problems and find innovative solutions using available technologies.
 </li>
 <li>
 You enjoy working on complex problems in an international in-house team of experts.
 </li>
 <li>
 Professional English proficiency; German is a plus.
 
 
 
 </li>
 </ul>
 Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? Apply now!
 
 
 Find out more about Artificial Intelligence at the BMW Group here.
 
 
 
 Note:
 
 Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <ul>
 <li>
 Challenging projects with which we are shaping the mobility of tomorrow together.
 </li>
 <li>
 Wide range of personal and professional development opportunities.
 </li>
 <li>
 Attractive, fair and performance-related remuneration.
 </li>
 <li>
 High level of job security.
 </li>
 <li>
 Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
 </li>
 <li>
 Flexible working hours including 6 weeks annual leave and overtime compensation.
 </li>
 <li>
 Discounted BMW &amp; MINI conditions.
 </li>
 <li>
 Many other benefits at bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Start date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours:
 
 Full-time
 
 
 If you apply, the next stages of the recruiting process include online testing and then technical interviews with the hiring manager (either virtual or in person).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
 
 
 Senior Applied AI / ML Data Engineer (f/m/x)
</div>

Senior Applied AI / ML Data Engineer (f/m/x)

Explore 150+ Ai solutions engineer d f m in Munich this July. Find roles across top companies and apply now to boost your career.