senior software engineer

ai engineer (m/w/d)

ai solutions engineer

ai support engineer*

technical support engineer

NVIDIA

<div>
 NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
 
 
 We are seeking an engineering leader to drive the next evolution of employee digital interaction across EMEA. As the leader of End User Support Engineering at EMEA IT, NVIDIA, you will sit at the intersection of IT infrastructure, Support, agentic AI, and engineering excellence &mdash; owning the full lifecycle of how employees across the region experience technology. This is not a traditional IT support leadership role. You will build and lead a team of engineers who support productivity of employees in the region and globally. In addition, you will design, automate, and continuously improve the employee productivity through scalable engineering practices, AI workflows, and a deep commitment to operational reliability.
 
 
 
 What You Will Be Doing
 
 
 
 <ul>
 <li>
 In this engineering leader role, you will define and carry out an engineering roadmap for EMEA end user support. The roadmap will match the global IT strategy and business priorities.
 </li>
 <li>
 Lead the strategy and execution for embedding agentic AI into IT support workflows &mdash; from intelligent triage and self-healing systems to fully autonomous resolution pipelines. Partner with AI/ML teams to design, deploy, and iterate on AI agents that reduce ticket volume, accelerate resolution, and proactively prevent issues before employees notice them.
 </li>
 <li>
 Lead with a product outlook: treat the employee technology experience as a product, with critical metrics, iteration cycles, and continuous improvement loops. Identify friction points in the employee technology journey and engineer solutions that measurably improve experience, satisfaction, and productivity.
 </li>
 <li>
 Build and develop a high-performing, geographically distributed engineering team across EMEA; mentor engineers and engineering managers at all levels.
 </li>
 <li>
 Define and own EMEA-specific objectives and key results, SLAs, and engineering KPIs for end user support; report progress to senior leadership with clarity and accountability.
 </li>
 <li>
 Build trusted relationships with regional business leaders, HR, Legal, and Workplace teams to align IT engineering investments to workforce needs. Represent EMEA as an engineering site leader, influencing global IT decisions with regional context and data-informed insights.
 </li>
 <li>
 Act as the incident response leader for EMEA, ensuring continuous site operations and health, driving global incident response and resolution, and ensuring platform reliability through proactive monitoring, automation, and incident response frameworks aligned to enterprise SLAs.
 </li>
 <li>
 Demonstrate excellent leadership and communication skills, with a proven history of building positive relationships with the business and enabling successful outcomes.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 12+ overall years of experience in IT engineering, infrastructure, or end user technology, with at least 6 years in people management or engineering leadership roles.
 </li>
 <li>
 Demonstrated track record of leading engineering teams at scale in complex, multi-country or multi-regional environments &mdash; EMEA experience strongly preferred.
 </li>
 <li>
 Hands-on background in systems/infrastructure engineering: strong prior individual contributor experience in at least one area (endpoint engineering, network, identity, cloud platforms, or automation).
 </li>
 <li>
 Proven experience in crafting and deploying AI-powered workflows involving AI/ML operations concepts. Skilled in creating timely instructions and agentic workflow build within an IT or engineering context.
 </li>
 <li>
 Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, or similar) applied to IT operations.
 </li>
 <li>
 Minimum of a BSc degree in Computer Science, Information Technology, Engineering, or a related technical field. Advanced degree (MSc/PhD) is preferred.
 
 
 </li>
 </ul>
 
 Ways to stand out from the crowd
 
 
 
 <ul>
 <li>
 Strong engineering approach with deep expertise in scalable platform architecture, automation, observability, reliability engineering, and modern operational practices including data-informed operations and AI-assisted service delivery.
 </li>
 <li>
 Demonstrated expertise in SRE and platform reliability principles
 
 
 </li>
 </ul>
 NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fuelled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI &mdash; the next era of computing. Nvidia is a &ldquo;learning machine&rdquo; that constantly evolves by adapting to new opportunities that are hard to tackle, that only we can pursue, and that matter to the world. This is our life&rsquo;s work, to amplify creativity and intelligence. Make the choice to join us today.
 
 
 , , JR2019170
 
 
</div>

Director, IT Engineering - End User Support

<div>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking an engineering leader to drive the next evolution of employee digital interaction across EMEA. As the leader of End User Support Engineering at EMEA IT, NVIDIA, you will sit at the intersection of IT infrastructure, Support, agentic AI, and engineering excellence &mdash; owning the full lifecycle of how employees across the region experience technology. This is not a traditional IT support leadership role. You will build and lead a team of engineers who support productivity of employees in the region and globally. In addition, you will design, automate, and continuously improve the employee productivity through scalable engineering practices, AI workflows, and a deep commitment to operational reliability.
What you will be doing:<ul><li>
In this engineering leader role, you will define and carry out an engineering roadmap for EMEA end user support. The roadmap will match the global IT strategy and business priorities.</li><li>
Lead the strategy and execution for embedding agentic AI into IT support workflows &mdash; from intelligent triage and self-healing systems to fully autonomous resolution pipelines. Partner with AI/ML teams to design, deploy, and iterate on AI agents that reduce ticket volume, accelerate resolution, and proactively prevent issues before employees notice them.</li><li>
Lead with a product outlook: treat the employee technology experience as a product, with critical metrics, iteration cycles, and continuous improvement loops. Identify friction points in the employee technology journey and engineer solutions that measurably improve experience, satisfaction, and productivity.</li><li>
Build and develop a high-performing, geographically distributed engineering team across EMEA; mentor engineers and engineering managers at all levels.</li><li>
Define and own EMEA-specific objectives and key results, SLAs, and engineering KPIs for end user support; report progress to senior leadership with clarity and accountability.</li><li>
Build trusted relationships with regional business leaders, HR, Legal, and Workplace teams to align IT engineering investments to workforce needs. Represent EMEA as an engineering site leader, influencing global IT decisions with regional context and data-informed insights.</li><li>
Act as the incident response leader for EMEA, ensuring continuous site operations and health, driving global incident response and resolution, and ensuring platform reliability through proactive monitoring, automation, and incident response frameworks aligned to enterprise SLAs.</li><li>
Demonstrate excellent leadership and communication skills, with a proven history of building positive relationships with the business and enabling successful outcomes.</li></ul>
What we need to see:<ul><li>
12+ overall years of experience in IT engineering, infrastructure, or end user technology, with at least 6 years in people management or engineering leadership roles.</li><li>
Demonstrated track record of leading engineering teams at scale in complex, multi-country or multi-regional environments &mdash; EMEA experience strongly preferred.</li><li>
Hands-on background in systems/infrastructure engineering: strong prior individual contributor experience in at least one area (endpoint engineering, network, identity, cloud platforms, or automation).</li><li>
Proven experience in crafting and deploying AI-powered workflows involving AI/ML operations concepts. Skilled in creating timely instructions and agentic workflow build within an IT or engineering context.</li><li>
Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, or similar) applied to IT operations.</li><li>
Minimum of a BSc degree in Computer Science, Information Technology, Engineering, or a related technical field. Advanced degree (MSc/PhD) is preferred.</li></ul>
Ways to stand out from the crowd<ul><li>
Strong engineering approach with deep expertise in scalable platform architecture, automation, observability, reliability engineering, and modern operational practices including data-informed operations and AI-assisted service delivery.</li><li>
Demonstrated expertise in SRE and platform reliability principles</li></ul>
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fuelled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI &mdash; the next era of computing. Nvidia is a &ldquo;learning machine&rdquo; that constantly evolves by adapting to new opportunities that are hard to tackle, that only we can pursue, and that matter to the world. This is our life&rsquo;s work, to amplify creativity and intelligence. Make the choice to join us today.</div>

Valentum Engineering GmbH

<div></div><div><div><div>Valentum Engineering hat seine Wurzeln in der Automobilindustrie. Inzwischen haben wir uns aber auch in der Industrie erfolgreich etabliert. Hier unterst&uuml;tzen wir unsere Kunden bei der Entwicklung intelligenter Software- und Hardwarel&ouml;sungen in den Bereichen Automatisierungs-, Antriebs- und Regelungstechnik. Dabei sind wir in allen Entwicklungsphasen t&auml;tig &ndash; von der Spezifikation &uuml;ber die Software-/Hardware-Entwicklung und Absicherung bis hin zur Erprobung. 
 
Hinweis zum Bewerbungsprozess: Wir setzen in unserem Bewerbermanagementsystem auch KI-gest&uuml;tzte Funktionen zur Unterst&uuml;tzung des Auswahlprozesses ein. Details finden Sie in den Datenschutzhinweisen f&uuml;r Bewerber unter Datenschutz | Valentum Engineering GmbH.
</div><div>Wir suchen ab sofort f&uuml;r den Standort M&uuml;nchen einen
</div><div>AI Support Engineer*
</div><div>zur Verwaltung und Support von KI-Cloud-Diensten (z. B. Cursor, GitHub Copilot) und IDEs (VSCode, JetBrains, Visual Studio).
</div><div><div><h1 class="jobSectionHeader">Ihr Aufgabengebiet</h1>
<ul><li>Administration und Support von KI-LLM-Inferenzdiensten auf lokalem Kubernetes (OpenShift, Linux, LiteLLM, VLLM, LLM-D, verschiedene Open-Source-LLMs).</li>
<li>Verantwortung f&uuml;r das Testen und die Implementierung neuer Softwareversionen.</li>
<li>Koordination und Durchf&uuml;hrung von Systemfehleranalysen und Fehlerbehebung.</li>
<li>Funktion als prim&auml;rer Ansprechpartner f&uuml;r Tool-Anbieter.</li>
<li>Unterst&uuml;tzung von Softwareentwicklern bei der Nutzung der Tools.</li>
</ul>
</div><div><h1 class="jobSectionHeader">Ihr Profil</h1>
<ul><li>Abschluss in Informatik oder einem vergleichbaren Fachgebiet; mindestens ein Jahr einschl&auml;gige Berufserfahrung.</li>
<li>Kenntnisse der Grundlagen der Softwareentwicklung.</li>
<li>Erfahrung im Skripten mit Python.</li>
<li>Erfahrung in der Administration von Windows- oder Linux-Betriebssystemen.</li>
<li>Ausgepr&auml;gte Probleml&ouml;sungsf&auml;higkeit und logisches Denkverm&ouml;gen.</li>
<li>Verhandlungssichere Deutsch- und gute Englischkenntnisse</li></ul> 
</div><div><h1 class="jobSectionHeader">Unser Angebot</h1>
<ul><li>Bruttojahresgehalt all-in:
<ul><li>Mid-Level 70 000 Euro</li>
<li>Experienced 75 000 Euro</li>
<li> Senior 85 000 Euro</li>
</ul></li><li>Home Office: TBD</li>
<li>W&ouml;chentliche Arbeitszeit: 35 Stunden</li>
</ul>
</div><div><h3 class="jobSectionHeader">Haben wir Ihr Interesse geweckt?</h3>
Dann richten Sie Ihre Bewerbung an: 
Jenny Ferber (jennifer.ferber@valentum-engineering.de, 
0731 96538563) 
 
VALENTUM Engineering GmbH 
Einsteinstr. 55 . 89077 Ulm 
www.valentum.de
</div><div></div><ul><li>Bei uns sind Sie willkommen, unabh&auml;ngig von pers&ouml;nlichen Merkmalen wie z.B. kultureller und sozialer Herkunft, Geschlecht oder Alter.</li></ul></div></div></div><div></div>

AI Support Engineer*

InterNetX GmbH

<div><div>InterNetX ist Teil der IONOS Group SE und entwickelt seit 1998 innovative L&ouml;sungen rund um Domains, Hosting und Encryption. Als Internet Service Provider mit &uuml;ber 5 Millionen verwalteten Domains und mehr als 3.000 gehosteten Servern geh&ouml;rt InterNetX zu den Top-Providern f&uuml;r Reseller und professionelle Anwender:innen.</div><div>
Wir suchen einen engagierten IT Support Engineer, der unser Team im Rechenzentrumsbetrieb in M&uuml;nchen verst&auml;rkt. In dieser Rolle &uuml;bernimmst du die volle Verantwortung f&uuml;r unsere On-Site-Infrastruktur &ndash; von der &Uuml;berwachung der Stromversorgung und K&uuml;hlung bis hin zur Konfiguration von Linux-Servern (Debian, Ubuntu, AlmaLinux). Wenn du die direkte Arbeit an Server-Hardware liebst und in einer Hochverf&uuml;gbarkeitsumgebung aufbl&uuml;hst, ist dies der perfekte Ort, um deine technische Expertise auszubauen.
<h4 class="jobSectionHeader">
Aufgabenbereich</h4>
<ul><li>1st &amp; 2nd Level Support: Entgegennahme, Qualifizierung und Bearbeitung von IT-Incidents und Service-Anfragen via Ticketsystem, Telefon oder Front Desk.</li>
<li>Fehlerbehebung &amp; Support: Diagnose und Behebung von Hardware- (Server/Netzwerkger&auml;te) und Softwareproblemen (Linux).</li>
<li>Infrastruktur-Monitoring: Du bist verantwortlich f&uuml;r die &Uuml;berwachung der Server- und Netzwerkinfrastruktur (einschlie&szlig;lich Stromversorgung, Klimatisierung und Sicherheitssysteme).</li>
<li>Installation &amp; Konfiguration: Du k&uuml;mmerst dich um die Einrichtung von Netzwerkkomponenten und Linux-Servern.</li>
<li>Wartung &amp; Migration: Durchf&uuml;hrung von Wartungsarbeiten sowie Hardware- und Software-Migrationen.</li>
<li>Asset Management: F&uuml;hrung eines pr&auml;zisen Inventars.</li>
</ul>
&Uuml;ber Dich
<ul>
<li>Du habst Freude an der Arbeit vor Ort, direkt an der Serverlandschaft.</li>
<li>Flexibilit&auml;t: Bereitschaft zur Arbeit im Schichtdienst.</li>
<li>Soft Skills: Starke Serviceorientierung, Geduld im Umgang mit Anwendern, eine kollaborative und teamorientierte Denkweise, k&ouml;rperliche Belastbarkeit f&uuml;r Hardware-Setups sowie eine strukturierte und eigenst&auml;ndige Arbeitsweise.</li>
</ul><h4 class="jobSectionHeader">Qualifikationen</h4>
<ul><li>Umfangreiche Kenntnisse in Linux-Umgebungen (CentOS, AlmaLinux, Debian, Ubuntu).</li>
<li>Erfahrung im Umgang mit Gesch&auml;ftskunden (B2B).</li>
<li>Gute Sprachkenntnisse in Deutsch und Englisch (mindestens B2-Niveau).</li>
</ul><h4 class="jobSectionHeader">Benefits</h4>
<ul><li>Hybrides Arbeitsmodell mit Homeoffice-M&ouml;glichkeit.</li>
<li>Kostenfreie Getr&auml;nke und Obst.</li>
<li>Diverse Mitarbeiterrabatte f&uuml;r Aktivit&auml;ten und (InterNetX)-Produkte.</li>
<li>Verschiedene Mitarbeiterevents (z. B. Meet &amp; Eat, Firmenfeiern).</li>
<li>Zahlreiche Weiterbildungs- und Entwicklungsm&ouml;glichkeiten.</li>
<li>Moderne B&uuml;roausstattung bzw. Equipment.</li>
<li>Fokus auf Nachhaltigkeit durch Jobticket und Jobrad.</li>
</ul>
Hinweis 
Die InterNetX GmbH verwendet f&uuml;r das Recruiting ein gruppenweites Bewerbermanagementsystem der IONOS SE. Mit Absenden deiner Bewerbung werden deine Daten daher mit der IONOS SE geteilt und von deren zust&auml;ndigen Mitarbeiter:innen im Rahmen des Bewerbungsprozesses verarbeitet. Rechtsgrundlage hierf&uuml;r ist &sect; 26 BDSG (Anbahnung eines Besch&auml;ftigungsverh&auml;ltnisses) sowie Art. 6 Abs. 1 lit. b DSGVO (allgemeine Vertragsanbahnung).</div></div>

IT Service Technician - 24/7 (w/m/d) New

<div>Site Reliability Operations (SRO) is NVIDIA IT's global enterprise support organization, serving as the first point of contact for enterprise IT services while engineering streamlined, scalable solutions that improve the employee experience. Rather than simply resolving tickets, SRO drives operational excellence by consolidating support functions, automating repetitive work, and returning engineering capacity while improving operational reliability across our global 24x5 support model spanning the Americas, EMEA, APAC, India, and Israel. This role uniquely combines enterprise site support with ownership of video conferencing and collaboration technologies, requiring expertise across both disciplines to deliver a seamless workplace technology experience. Working closely with Site Reliability Engineering (SRE), Unified Communications Engineering (UCE), Facilities, and other global IT teams, you'll help ensure NVIDIA employees and executives have reliable technology and exceptional collaboration experiences every day.
What You'll Be Doing
This role is responsible for delivering both enterprise site support and video conferencing operations. The work spans hands-on technical support, collaboration technology ownership, and continuous operational improvement, partnering with global engineering teams to enhance service reliability, automate repetitive work, and deliver an exceptional employee experience.<ul><li>
Serve as the primary on-site IT point of contact for Site Reliability Operations (SRO), providing break/fix support, new hire onboarding, hardware provisioning, and desk-side support.</li><li>
Resolve hardware, software, access, and peripheral incidents and service requests while meeting established service level objectives and operational response targets.</li><li>
Triage, investigate, and resolve complex technical issues, partnering with Site Reliability Engineering (SRE) teams to perform root cause analysis and address operational challenges impacting service efficiency.</li><li>
Identify recurring incident trends and implement automation, self-service capabilities, and process improvements that reduce support volume and improve the employee experience.</li><li>
Maintain operational readiness of local IT infrastructure, including network equipment rooms (NER/IDF), IT vending machines (ITVM), local lab environments, and other site technology assets.</li><li>
Support office build-outs, site expansions, lifecycle management (LCM) initiatives, and participate in after-hours and weekend support for critical incidents as required.</li><li>
Lead the operational health of enterprise video conferencing and audiovisual (AV) systems across assigned sites, including Cisco and Poly collaboration endpoints.</li><li>
Install, configure, maintain, and troubleshoot collaboration hardware including codecs, touch panels, cameras, microphones, speakers, amplifiers, digital signal processors (DSPs), displays, and AV control processors.</li><li>
Ensure conference rooms meet NVIDIA collaboration standards by validating audio and video quality, verifying cabling and signal integrity, and proactively maintaining room readiness.</li><li>
Provide real-time AV and video conferencing support for executive meetings, live events, all-hands meetings, and other high-visibility presentations.</li><li>
Partner with Unified Communications Engineering (UCE) on firmware upgrades, platform migrations, and new room deployments.</li><li>
Maintain accurate collaboration asset inventory and lifecycle information in Nautobot, including device status, serial numbers, firmware versions, and lifecycle data.</li><li>
Troubleshoot interoperability across Microsoft Teams, Zoom, Webex, Pexip CVI, SIP, and H.323 platforms to deliver seamless cross-platform meeting experiences.</li></ul>
What We Need to See
We're looking for a customer-focused IT professional with experience across enterprise endpoint support and collaboration technologies. The ideal candidate is comfortable working independently at a site while partnering with globally distributed engineering teams to solve complex technical challenges and continuously improve operational excellence.<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.</li><li>
3&ndash;5 years of experience in IT operations, site support, enterprise endpoint support, audiovisual technologies, or a related technical support role.</li><li>
Hands-on experience supporting enterprise video conferencing platforms, including Microsoft Teams Rooms, Zoom Rooms, and/or Cisco Webex Room systems.</li><li>
Familiarity with AV signal flow, including HDMI, USB, network-based audio/video, DSP configuration, and display technologies.</li><li>
Strong troubleshooting and engineering skills across Windows, macOS, and Linux environments.</li><li>
Experience working with enterprise IT service management (ITSM) platforms, preferably ServiceNow.</li><li>
Ability to work independently while collaborating effectively with globally distributed teams.</li><li>
Excellent communication and interpersonal skills, including experience supporting executives, managing vendor relationships, and documenting technical procedures.</li></ul>
Ways to Stand Out from the Crowd<ul><li>
Experience with enterprise AV monitoring and management platforms such as Vyopta, Crestron XiO Cloud, or Q-SYS.</li><li>
Understanding of networking fundamentals, including VLANs, Power over Ethernet (PoE), and Quality of Service (QoS) for real-time media.</li><li>
CTS (Certified Technology Specialist) or other relevant AV or collaboration certifications.</li><li>
Experience using Python, PowerShell, or Bash to automate operational workflows and improve operational efficiency.</li><li>
Experience supporting large-scale live events or broadcast-quality AV environments.</li><li>
Experience working within Site Reliability Engineering (SRE) or Site Reliability Operations (SRO) organizations with exposure to shift-left methodologies, self-service, and automation practices.</li></ul></div>

IT Support Engineer

techtree

About the RoleA leading frontier AI company is looking for an Applied AI Engineer to join their Solutions team in Munich.This is a customer-facing technical role, but the balance is heavily technical: roughly 20% involves presales support, onboarding, and client guidance - the other 80% is designing, developing, and deploying AI solutions for B2B enterprise clients.Your stakeholders are technical. You won't be simplifying things for non-technical audiences - you'll be working directly with data scientists, software engineers, and CTOs on complex, high-impact implementations.This is not a consultancy role. You'll operate with the mindset of a startup CTO embedded in a world-class AI team: owning projects end-to-end, shipping working solutions, and collaborating closely with researchers and product engineers on the company's most challenging customer problems.What You'll Do<ul><li>Deploy AI solutions into production across various industries, delivering measurable business impact</li><li>Build state-of-the-art GenAI applications - from consumer products to industrial use cases</li><li>Develop complex implementations involving fine-tuning, advanced RAG pipelines, agentic workflows, and custom LLM applications</li><li>Participate in presales calls to understand client needs and provide technical guidance</li><li>Collaborate with researchers and product engineers on the team's most demanding customer projects</li><li>Feed customer insights back into product and model development</li></ul>How the Team Works<ul><li>What matters is what you ship, not the time you spend on it</li><li>No bureaucracy - you talk to whoever you need to, the best idea wins</li><li>Low ego, high standards; direct, honest feedback</li><li>Unstructured environment where people find joy in ambiguity</li></ul>About You<ul><li>Fluent in English and German (required for this Munich-based role)</li><li>2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li><li>Proven experience implementing AI/ML products with APIs, back-end and front-end interfaces</li><li>Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases</li><li>Deep understanding of machine learning concepts and the algorithms underlying LLMs</li><li>Strong Python coding skills</li><li>Able to explain complex technical concepts clearly to technical audiences</li></ul>Nice to Have<ul><li>Open-source contributions, especially in the LLM space</li><li>Prior experience as a Customer Engineer, Forward Deployed Engineer, Solutions Architect, or Technical PM</li><li>Experience with PyTorch and deep learning</li></ul>Compensation<ul><li>Base salary + equity</li></ul>Job Type: Full-timePay: 61.504,42&euro; per yearApplication Question(s):<ul><li>Cover letter</li><li>Expected Salary</li></ul>Work Location: In person

Applied AI Engineer

Capmont

<div>
 Search
 
 
 jobs
 
 
 Explore
 
 
 companies
 
 
 Join talent network
 
 
 Talent
 
 
 AI Software Engineer (f/m/d)
 
 
 Manex AI
 
 
 Software Engineering, Data Science
 
 
 Munich, Germany
 
 
 Posted on Jun 30, 2026
 
 
 Apply now
 
 
 
 AI Software Engineer (f/m/d)
 
 
 
 
 About Us
 
 
 
 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.
 
 
 
 Your Role
 
 
 
 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 "Kosmos" 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.
 
 
 
 Your Responsibilities
 
 
 
 <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>
 
 Your Profile
 
 
 
 <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>
 
 What We Offer
 
 
 
 <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>
 Are you willing to start contributing to European autonomy at scale? Apply now!
 
 
 Apply now
 
 
 See more open positions at Manex AI
</div>

AI Software Engineer (f/m/d)

Explore 174+ Technical support engineer in Munich this July. Find roles across top companies and apply now to boost your career.

174 technical support engineer jobs In Munich

Director, IT Engineering - End User Support

Director, IT Engineering - End User Support

AI Support Engineer*

IT Service Technician - 24/7 (w/m/d) New

IT Support Engineer

Applied AI Engineer

AI Software Engineer (f/m/d)