embedded systems engineer

ALTEN

<div><div><div>Die ALTEN Consulting Services GmbH bietet mit &uuml;ber 20 Jahren Branchenerfahrung ihren namhaften Kunden aus Industrie und Wirtschaft hochspezialisierte Engineering- und IT-Dienstleistungen zur gemeinsamen Realisierung von branchen- und technologie&uuml;bergreifenden L&ouml;sungen an.
 
 
Kompetenz, Engagement und Leidenschaft verbinden alle unsere Mitarbeiter der ALTEN Consulting Services GmbH. Dabei stehen ein partnerschaftliches Miteinander, ein starkes WIR-Gef&uuml;hl, der pers&ouml;nliche Kontakt zu unseren Kunden und die Kreativit&auml;t jedes Einzelnen stets im Fokus. Werde auch Du Teil unserer Erfolgsgeschichte.
</div></div><div><div><div><h1 class="jobSectionHeader">Embedded Test Automation Engineer (all gender)</h1>
<div>Gehalt: 70.000 - 80.000 Euro, Wochenstunden: 40 Stunden
Standort: 13629 Berlin
 
Referenznummer: #506394
</div></div></div></div><div><div>Make it happen
DU...
<ul><li>entwickelst und wartest automatisierte Testsuiten f&uuml;r Embedded-Systeme und FPGA-basierte Hardwareplattformen mit Fokus auf C-basierte Software</li>
<li>konzipierst, implementierst und f&uuml;hrst funktionale, Integrations-, Regressions- und Performance-Tests auf realer Hardware durch</li>
<li>entwickelst und pflegst Testautomatisierungs-Frameworks und Test-Harnesses mit Python, Shell-Skripting und weiteren geeigneten Technologien</li>
<li>integrierst automatisierte Tests in CI/CD-Pipelines wie GitHub Actions, GitLab CI/CD oder vergleichbare Systeme</li>
<li>analysierst das Verhalten von Embedded Software auf Zielhardware inklusive Debugging von C-Code, Schnittstellen und Timing-Analysen</li>
</ul>A home where people learn and thrive
<ul><li>Zukunftsorientierter Arbeitsplatz mit unbefristetem Arbeitsvertrag</li>
<li>Attraktive Verg&uuml;tung</li>
<li>Mobiles Arbeiten nach Absprache</li>
<li>Individuelle interne und externe Weiterbildungen</li>
<li>Flexible Arbeitszeitgestaltung mit Gleitzeitkontenregelung</li>
<li>Pers&ouml;nlichen Ansprechpartner</li>
</ul></div><div>Be our forward thinker
DU...
<ul><li>hast ein abgeschlossenes Studium in Informatik, Elektrotechnik, Embedded Systems, Automatisierungstechnik oder einer vergleichbaren technischen Fachrichtung</li>
<li>verf&uuml;gst &uuml;ber sehr gute Programmierkenntnisse in C inklusive Low-Level-Programmierung, Speicherverwaltung und Debugging auf Zielhardware</li>
<li>hast Erfahrung in der Testautomatisierung f&uuml;r Embedded Systeme, idealerweise inklusive Hardware-in-the-Loop-Umgebungen</li>
<li>bringst praktische Erfahrung mit Python sowie CI/CD-Tools wie GitHub Actions, GitLab CI/CD oder Azure DevOps mit</li>
<li>verf&uuml;gst &uuml;ber sehr gute Deutschkenntnisse sowie gute Englischkenntnisse</li>
</ul></div></div><div><div>Weitere Informationen findest Du unter: www.alten-consulting.de 
 
 
Wir wertsch&auml;tzen Vielfalt und begr&uuml;&szlig;en daher alle Bewerbungen - unabh&auml;ngig von Geschlecht, Nationalit&auml;t, ethnischer und sozialer Herkunft, Religion / Weltanschauung, Behinderung, Alter sowie sexueller Orientierung und Identit&auml;t. 
 
 
Schwerbehinderte werden bei gleicher Eignung bevorzugt ber&uuml;cksichtigt. 
 
 
Bewirb dich jetzt &uuml;ber unser Online-Bewerbungsformular.
</div></div><div><div><h3 class="jobSectionHeader">ALTEN Consulting Services</h3>
</div></div><div><div>Frau Azra Kapo
 
Technical Recruiter
</div><div>Frankfurter Ring 81
 
80807 M&uuml;nchen 
 
 
</div>+49 89 23 88 57 544
 
azra.kapo@alten-consulting.de</div></div><div></div>

Embedded Test Automation Engineer (all gender)

ALMETRA

<div>We&rsquo;re looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You&rsquo;ll own the full lifecycle of CV systems &mdash; from model integration and orchestration to deployment on cloud and edge environments.<h2 class="jobSectionHeader"> 
Your role</h2><ul><li>
Develop and deploy computer vision models for real-world video and sensor applications</li><li>
Build reliable training, evaluation and inference pipelines for large-scale data</li><li>
Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads</li><li>
Implement CI/CD, versioning and orchestration for ML pipelines</li><li>
Collaborate with research engineers to transition prototypes into scalable, production-grade systems</li><li>
Work with robotics and platform teams to ensure robust deployment at the edge</li></ul><h2 class="jobSectionHeader">
You are</h2><ul><li>
5&ndash;7 years experience in computer vision, ML engineering or production AI systems</li><li>
Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)</li><li>
Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)</li><li>
Familiar with distributed training, GPU management and inference optimisation</li><li>
Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling</li><li>
Pragmatic engineer &mdash; focused on reliability, reproducibility and maintainability</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience deploying CV models on edge devices or embedded systems</li><li>
Familiarity with TensorRT, quantisation, and real-time inference optimisation</li><li>
Background in video analytics, action recognition or multi-modal perception</li><li>
Understanding of model orchestration frameworks and large data pipelines</li></ul><h2 class="jobSectionHeader"> 
Why this role matters</h2> 
You bridge research and production &mdash; turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;80K - &euro;120K</div>

Senior Computer Vision Engineer (m/f/d)

SII Germany

<div>
 
 Im heutigen, dynamischen Umfeld technologischen Wandels sind intelligente
 
 IT-, Software- und Systeml&ouml;sungen
 
 von zentraler Bedeutung &ndash; in komplexen, sicherheitskritischen und regulierten Technologiefeldern wie Automotive, Defence und der Luft- und Raumfahrt.
 
 
 
 
 
 Wir vereinen Expertise in Embedded Software, moderner Softwareentwicklung, Cloud-Architekturen, Data &amp; AI Engineering sowie ganzheitlichem Systems Engineering. So entstehen vernetzte Plattformen, smarte Datenanalysen und hochverf&uuml;gbare Architekturen f&uuml;r komplexe und sicherheitskritische Anwendungen.
 
 
 
 
 
 In dieser Rolle verantwortest du den stabilen und sicheren Betrieb einer souver&auml;nen
 
 Google-Cloud-Plattform
 
 in einem hochregulierten Umfeld. Als Teil eines Site Reliability Engineering Teams stellst du die
 
 Verf&uuml;gbarkeit, Skalierbarkeit und Performance gesch&auml;ftskritischer Cloud-Services
 
 sicher und arbeitest eng mit internationalen Experten zusammen. Dabei erh&auml;ltst du die M&ouml;glichkeit, tief in die Technologien eines
 
 Hyperscalers
 
 einzutauchen und an
 
 hochverf&uuml;gbaren Cloud-Infrastrukturen
 
 
 mit h&ouml;chsten Sicherheitsanforderungen
 
 mitzuwirken.
 
 
 
 
 
 Werde jetzt Teil unseres Teams &ndash; in einer internen und unbefristeten Festanstellung als
 
 Site Reliability Engineer (m/w/x) Google Cloud Platform
 
 mit folgenden Aufgaben am Standort
 
 Berlin
 
 :
 
 
 
 
 <ul>
 <li>
 &Uuml;berwachung und Sicherstellung von
 
 Verf&uuml;gbarkeit, Skalierbarkeit, Latenz und Effizienz der Cloud-Services
 
 anhand definierter SLI/SLOs
 </li>
 <li>
 Analyse, Bearbeitung und nachhaltige Behebung von Incidents in produktiven Cloud-Umgebungen
 </li>
 <li>
 Teilnahme an einem internationalen
 
 Bereitschaftsmodell
 
 zur Sicherstellung eines 24/7-Betriebs
 </li>
 <li>
 Zusammenarbeit mit internationalen Cloud- und Plattformexperten zur Fehleranalyse und Probleml&ouml;sung
 </li>
 <li>
 Automatisierung
 
 operativer Prozesse
 
 und kontinuierliche Optimierung von
 
 Betriebsabl&auml;ufen
 
 </li>
 <li>
 Erstellung und Pflege von
 
 Dokumentationen, Runbooks und Operational Playbooks
 
 </li>
 <li>
 Durchf&uuml;hrung von
 
 Post-Mortem-Analysen
 
 sowie Ableitung von
 
 Verbesserungsma&szlig;nahmen
 
 </li>
 <li>
 Unterst&uuml;tzung beim Betrieb hochverf&uuml;gbarer Infrastruktur- und Plattformservices mit Verf&uuml;gbarkeitsanforderungen von bis zu 99,99 % und h&ouml;her
 </li>
 </ul>
 
 
 
 
 
 PROFIL
 
 
 <ul>
 <li>
 Abgeschlossenes Studium der Informatik, Ingenieurwissenschaften oder vergleichbare Qualifikation
 </li>
 <li>
 Mindestens 3 Jahre Erfahrung im Bereich
 
 Site Reliability Engineering, Cloud Operations oder Infrastrukturbetrieb
 
 </li>
 <li>
 Erfahrung in der Automatisierung von
 
 Betriebs- und Infrastrukturprozessen
 
 </li>
 <li>
 Kenntnisse im Betrieb
 
 kritischer Systeme
 
 mit hohen
 
 Verf&uuml;gbarkeitsanforderungen
 
 </li>
 <li>
 Erfahrung in regulierten Umfeldern (z.B. Banking, Versicherungen, Healthcare, Public Sector)
 </li>
 <li>
 Sehr gute Deutsch- und gute Englischkenntnisse in Wort und Schrift
 </li>
 </ul>
 
 
 
 
 
 Deine Benefits &ndash;
 
 
 ein echter Great Place To Work&reg;
 
 
 <ul>
 <li>
 
 Flexibles Arbeiten
 
 : 30 Urlaubstage, mobile Work &amp; flexible Zeiten &ndash; f&uuml;r echte Vereinbarkeit
 </li>
 <li>
 
 Modernes Setup
 
 : Cloudbasiertes Arbeiten mit Microsoft 365 f&uuml;r effizientes, kollaboratives Arbeiten
 </li>
 <li>
 
 Kultur, die tr&auml;gt
 
 : Offene Kommunikation, klare Verantwortung und Vertrauen auf allen Ebenen
 </li>
 <li>
 
 Individuelle Entwicklung
 
 : F&ouml;rderung deiner St&auml;rken &ndash; pers&ouml;nlich und fachlich
 </li>
 <li>
 
 Finanzielle Extras
 
 : Zusch&uuml;sse zur Altersvorsorge, Kinderbetreuung &amp; Mobilit&auml;t (Deutschland-Ticket)
 </li>
 <li>
 
 Gesundheit &amp; Balance
 
 : Hansefit-Sportkooperation &amp; JobRad-Leasing
 </li>
 </ul>
 
 
 
 
 Jetzt als
 
 Site Reliability Engineer (m/w/x) Google Cloud Platform
 
 bewerben! &ndash; schnell &amp; direkt &uuml;ber unser
 
 Bewerbungsformular
 
 .
 
 
 
 
 
 F&uuml;r deine Fragen steht dir Annabell Krautz gerne &uuml;ber E-Mail gerne zur Verf&uuml;gung 👉 karriere@sii-germany.com
 
 
 
 
 
 
 (
 
 Alle personenbezogenen Formulierungen in dieser Stellenanzeige sind geschlechtsneutral zu betrachten.
 
 )
 
 
 
 
 
 
 
 GROUPE SII
 
 
 
 Bei der SII Germany sind es nicht nur Ideen oder Technologien, die uns voranbringen &ndash; es sind vor allem die Menschen dahinter. Ihre Leidenschaft, ihr Know-how und ihr Mut, neue Wege zu gehen, machen den Unterschied.
 
 
 
 
 
 Wir verbinden wir globale Kompetenz mit lokaler N&auml;he und arbeiten partnerschaftlich mit unseren Kunden zusammen, um wirkungsvolle technische L&ouml;sungen zu realisieren. Dabei erbringen wir anspruchsvolle IT- und Engineering-Dienstleistungen in technologiegetriebenen M&auml;rkten.
 
 
 
 
 
 Wir suchen Pers&ouml;nlichkeiten, die nicht nur fachlich &uuml;berzeugen, sondern mitdenken, mitgestalten und gemeinsam mit uns wachsen wollen. Let&rsquo;s tech together!
 
</div>

Site Reliability Engineer (m/w/x) Google Cloud Platform

LimeFlight

<div>Join our fully remote, mission-driven team dedicated to pioneering sustainable inflight service management. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
<h4 class="jobSectionHeader">About the role</h4>
We are hiring a Senior Data &amp; Analytics Engineer to take end-to-end ownership of our data platform and BI layer.
We are on a mission to contribute to a zero-waste future by drastically reducing food waste, fuel consumption, costs, and most importantly, CO₂ emissions in the airline industry. Every role in our company is a direct contributor to this vision - and as a Senior Data &amp; Analytics Engineer you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.
You will evolve a vendor-built BI solution into a modern, product-grade data platform and ensure that data is transformed into scalable, trusted, and actionable insights for both our customers and internal teams. You&rsquo;re not just building dashboards, you&rsquo;re enabling better decisions and measurable impact.
This role combines:<ul><li>
Data Engineering (pipelines, processing, customer facing exports, platform)</li><li>
Analytics Engineering (modeling, KPIs, semantic layer)</li><li>
Data Product Ownership (customer impact, insight generation)</li></ul><h4 class="jobSectionHeader">
What You&rsquo;ll Own</h4>
Platform, Architecture &amp; Pipelines
Own the end-to-end data platform (Databricks and Microsoft Fabric)<ul><li>
Design and operate scalable pipelines and lakehouse architecture</li><li>
Build scalable ETL/ELT workflows and manage batch/near real-time processing</li><li>
Ensure data quality, reliability, observability, and performance</li><li>
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)</li><li>
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms</li></ul>
Data Modeling &amp; Semantic Layer<ul><li>
Own Power BI semantic models and KPIs</li><li>
Build clean, scalable dimensional models (star schema)</li><li>
Ensure performance and consistency of DAX, aggregations, and dataset refresh</li></ul>
Customer-Facing Analytics<ul><li>
Build and maintain customer-facing dashboards and embedded analytics</li><li>
Ensure consistent and trusted metrics across all outputs</li><li>
Enable self-service analytics with governance</li><li>
Maintain and monitor customer facing exports</li></ul>
Data as Product<ul><li>
Translate business and customer needs into scalable data solutions</li><li>
Define KPIs and reporting standards with Product</li><li>
Proactively build insights and identify opportunities to create additional customer value</li><li>
Drive measurable customer and business impact</li></ul>
Platform Quality, Operations, Security &amp; Governance<ul><li>
Build necessary validation scripts, unit tests, data quality checks</li><li>
Implement CI/CD, testing, and versioning for pipelines and BI</li><li>
Support multi-tenant architecture, security, and governance</li><li>
Implement monitoring and alerting (pipelines, refreshes)</li></ul>
Migration &amp; Insourcing (Initial Focus)<ul><li>
Take ownership of a vendor-built BI solution</li><li>
Reverse-engineer pipelines, logic, and reports</li><li>
Reduce technical debt and rebuild toward a clean architecture</li></ul><h4 class="jobSectionHeader">
What We&rsquo;re Looking For</h4>
Experience<ul><li>
5+ years in data engineering / analytics engineering for customer-facing BI products</li><li>
Experience in SaaS or product-driven environments</li><li>
Proven track record building scalable data platforms and customer-facing analytics</li></ul>
Technical &amp; Platform Skills<ul><li>
Strong experience with:<ul><li>
Databricks (Spark / PySpark, Delta Lake)</li><li>
Microsoft Fabric or Azure data stack</li><li>
Power BI (data modeling, DAX, performance)</li></ul></li><li>
Advanced SQL and dimensional modeling (Kimball) expertise</li><li>
Lakehouse architecture &amp; ETL/ELT design</li><li>
Multi-tenant data models &amp; embedded analytics</li></ul>
Engineering Practices<ul><li>
CI/CD for data pipelines and BI assets</li><li>
Write reusable, modular, maintainable and testable code.</li><li>
Monitoring and data quality practices</li><li>
Version control (e.g., Git)</li></ul>
Nice-to-have<ul><li>
Azure infrastructure knowledge (IAM, networking)</li><li>
Data quality/testing frameworks (e.g., Great Expectations)</li></ul>
Mindset<ul><li>
Strong ownership and autonomy: You take full ownership of outcomes, not just tasks</li><li>
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities</li><li>
Product thinker: You connect data to user value and turn raw data into clear, actionable insights</li><li>
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.</li></ul><ul><li>
Domain expert: You understand business contexts quickly and translate problems into effective data solutions.</li><li>
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.</li><li>
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.</li></ul><h4 class="jobSectionHeader">
Language</h4>
Min. English C1<h4 class="jobSectionHeader">
Expected travel needs</h4>
2 annual one-week team events<h4 class="jobSectionHeader">
Our Tech Stack</h4><ul><li>
C# (.NET 8&ndash;10), ASP.NET Core, Entity Framework Core</li><li>
Microsoft SQL Server, Azure Blob Storage</li><li>
Azure App Services &amp; Functions, Docker</li><li>
Azure Service Bus, Terraform</li><li>
GitHub Actions, SonarQube, extensive unit &amp; integration tests</li><li>
Angular Latest Version</li><li>
Databricks and Azure Fabric</li></ul><h4 class="jobSectionHeader">
Hiring Process</h4><ul><li>
Recruiter Screen (45 mins)</li><li>
Interview with the Hiring Manager (1 hour)</li><li>
Technical interview (1 hour)</li><li>
Discussion with founder(s) and peer(s) (1 hour)</li></ul> 
LimeFlight is proud to be an equal opportunity employer.
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.
Let&rsquo;s talk!</div>

Senior Data & Analytics Engineer (Europe, 100% remote)

Stealth Startup (Deep Defense Tech)

<div>
 
 
 Senior Computer Vision Engineer
 
 
 
 (Aerial Threat Detection, Classification &amp; Tracking)
 
 
 Location: Berlin (Onsite)
 
 
 
 
 
 
 About Us
 
 
 
 We are a defense technology startup based in Berlin, building the next generation defense layer against aerial threats. Our team develops mission-critical systems that combine hardware, software, sensing, and real-time AI to operate reliably in complex real-world environments.
 
 
 Operating in stealth mode, we place strong emphasis on engineering rigor, real-world performance, and defense-grade system reliability.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a Senior Computer Vision Engineer to design, train, deploy, and continuously improve computer vision models for aerial threat detection, classification, and tracking.
 
 
 This role focuses on real-world vision challenges: detecting small objects at long range, maintaining tracking stability under poor visibility and motion, classifying targets reliably, and deploying performant models on edge compute platforms such as NVIDIA Jetson / Tegra.
 
 
 You will own key parts of the vision model lifecycle, from dataset preparation and augmentation to model development, deployment optimization, field-data error analysis, and iterative improvement. You will work closely with robotics, tracking, and controls engineers to ensure visual perception outputs can be used reliably in real-time system behavior.
 
 
 This is a hands-on, production-oriented role for someone with deep experience building vision systems that work outside controlled lab conditions.
 
 
 This position requires onsite work in Berlin and candidates must be from a NATO member state.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Computer Vision Model Development
 
 
 <ul>
 <li>
 Design, train, fine-tune, and deploy computer vision models for: Long-range small-object detection, Object classification and identification, Multi-object tracking, Target state estimation support
 </li>
 <li>
 Work with modern vision approaches, including real-time detectors, CNN-based architectures, vision transformers, tracking-by-detection pipelines, or custom models
 </li>
 <li>
 Evaluate trade-offs between detection accuracy, latency, robustness, and compute constraints
 </li>
 <li>
 Develop model pipelines that support continuous improvement from real-world field data
 </li>
 </ul>
 
 
 
 
 
 Real-World Robustness
 
 
 <ul>
 <li>
 Improve model performance under challenging operating conditions, including: Small targets at long range, Motion blur, Low light, glare, and changing illumination, Clouds, rain, fog, and atmospheric effects, Cluttered backgrounds, Camera movement and vibration, IR / thermal imagery artifacts
 </li>
 <li>
 Analyze failure cases and translate them into concrete model, data, and preprocessing improvements
 </li>
 <li>
 Improve classification confidence, tracking stability, and robustness against false positives#
 </li>
 </ul>
 
 
 
 
 
 Dataset Lifecycle &amp; Synthetic Data
 
 
 <ul>
 <li>
 Own key parts of the vision data pipeline, including: Data cleaning, Augmentation strategies, Label quality analysis, Error analysis, Continuous dataset improvement
 </li>
 <li>
 Use synthetic data to improve coverage of rare, difficult, or safety-critical scenarios
 </li>
 <li>
 Collaborate with simulation engineers to align synthetic data generation with real-world failure cases
 </li>
 <li>
 Define metrics and evaluation sets for long-range detection, classification, and tracking performance
 </li>
 </ul>
 
 
 
 
 
 Tracking &amp; Sensor Fusion
 
 
 <ul>
 <li>
 Develop and improve tracking-by-detection and multi-object tracking pipelines
 </li>
 <li>
 Integrate vision outputs into downstream tracking and control systems
 </li>
 <li>
 Work with sensor inputs including: IR / thermal cameras, Laser range finder data
 </li>
 <li>
 Contribute to sensor fusion approaches where visual detections must be combined with additional measurement sources
 </li>
 <li>
 Collaborate with robotics, tracking, and controls engineers to ensure perception outputs are stable, timely, and actionable
 </li>
 </ul>
 
 
 
 
 
 Edge Deployment &amp; Optimization
 
 
 <ul>
 <li>
 Deploy and optimize models on NVIDIA Jetson / Tegra platforms
 </li>
 <li>
 Optimize inference performance using: TensorRT, CUDA
 </li>
 <li>
 Efficient preprocessing pipelines
 </li>
 <li>
 Balance accuracy, latency, memory usage, and thermal constraints
 </li>
 <li>
 Support real-time perception pipelines running on embedded or edge compute hardware
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 6+ years of experience in computer vision, applied machine learning, or real-world perception systems
 </li>
 <li>
 Proven hands-on experience building, training, deploying, and maintaining computer vision models
 </li>
 <li>
 Strong experience with object detection, classification, and/or multi-object tracking
 </li>
 <li>
 Experience with real-world image data, including noisy labels, domain shift, sensor artifacts, and difficult edge cases
 </li>
 <li>
 Strong Python skills and experience with deep learning frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Experience optimizing and deploying models on edge platforms, ideally NVIDIA Jetson / Tegra
 </li>
 <li>
 Experience with inference optimization tools such as TensorRT and/or CUDA
 </li>
 <li>
 Strong analytical skills for error analysis, model evaluation, and performance debugging
 </li>
 <li>
 Ability to work closely with robotics, controls, and systems engineers
 </li>
 <li>
 Onsite availability in Berlin
 </li>
 <li>
 Citizenship of a NATO member state
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Background in defense, aerospace, robotics, autonomous systems, or industrial perception
 </li>
 <li>
 Experience with IR / thermal computer vision
 </li>
 <li>
 Experience with long-range small-object detection
 </li>
 <li>
 Experience with sensor fusion involving visual detections and range measurements
 </li>
 <li>
 Experience with synthetic data generation and simulation-driven dataset improvement
 </li>
 <li>
 Experience with tracking filters, tracking-by-detection, or real-time perception-to-control pipelines
 </li>
 <li>
 Strong C++ skills for production integration are a plus
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 VSOP / equity participation
 </li>
 <li>
 Central Berlin office
 </li>
 <li>
 Extreme growth opportunity in a fast-scaling startup
 </li>
 <li>
 Holiday allowance
 </li>
 <li>
 Monthly voucher
 </li>
 <li>
 Public transportation subsidies
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 Real-world focused: You care about models that work in the field, not just on benchmark datasets
 </li>
 <li>
 Data-driven: You analyze failures systematically and improve models through evidence
 </li>
 <li>
 Performance-aware: You understand latency, memory, and edge deployment constraints
 </li>
 <li>
 Robustness-oriented: You think deeply about edge cases, domain shift, and degraded conditions
 </li>
 <li>
 Collaborative: You work effectively with robotics, tracking, and controls engineers
 </li>
 <li>
 Mission-aligned: You understand the responsibility of building perception systems for defense applications
 </li>
 </ul>
 
 
 
</div>

Senior Computer Vision Engineer

Enpal

<div>Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy&mdash;from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.
Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. 
 
About the Role
Our central Data Platform team builds the paved road that domain Analytics Engineering and BI teams build on top of within our data mesh. As a Data Platform Engineer, your customers are developers, not dashboards: you own the tooling, abstractions, and guardrails that let 55+ AE/BI engineers embedded across domains ship dbt models safely and fast across a ~2,500-model monorepo. You'll work at the intersection of dbt, Snowflake, orchestration, and infrastructure-as-code, and you'll spend as much time unblocking and enabling others as you do writing code.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own and evolve our dbt platform: macros, packages, project structure, selective/state-aware runs, and CI gating across a large monorepo.</li><li>
Build self-service scaffolding and developer tooling so domain teams can create models, sources, and tests without touching platform internals.</li><li>
Manage infrastructure as code with Terraform and ArgoCD (GitOps), keeping environments reproducible and reviewable.</li><li>
Enforce federated governance: data contracts, RBAC via Snowflake database roles, and domain ownership boundaries.</li><li>
Support data privacy and compliance requirements, including metadata-driven PII handling.</li><li>
Build observability and testing into the platform so failures are caught before they reach domain teams.</li><li>
Partner with AE/BI leads to gather requirements, review designs, document patterns, and continuously lower the barrier to entry.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3><ul><li>
Strong software engineering fundamentals: Python, testing, reusable libraries, and a platform-as-product mindset.</li><li>
Deep, hands-on dbt experience at scale (not just authoring models, but operating the platform around them).</li><li>
Solid Snowflake knowledge: RBAC, performance, and warehouse management.</li><li>
Experience with orchestration (Airflow) and containerized workloads (Kubernetes/AKS).</li><li>
Comfort with IaC (Terraform) and GitOps (ArgoCD).</li><li>
Familiarity with modern ingestion frameworks (dlt or similar).</li><li>
Excellent communication and stakeholder empathy; you enjoy enabling other engineers and can navigate ambiguity in a cross-domain mesh.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience building internal developer platforms or paved-road tooling.</li><li>
Knowledge of data contracts and federated data governance.</li><li>
GDPR/DSGVO-aware data handling experience.</li><li>
Exposure to Snowflake Iceberg/REST catalogs or dbt Fusion.
Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential&mdash;regardless of whether your experience meets every single requirement.
</li></ul><h3 class="jobSectionHeader">What we offer</h3><ul><li>
Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.</li><li>
The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.</li><li>
The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.</li><li>
Grown-up business &amp; startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.</li><li>
Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.</li><li>
Stay up to date &amp; help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.</li><li>
The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.</li><li>
Your extra boost - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.</li></ul>
At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.</div>

Data Engineer (f/m/x)

Solaris Group

<div><div>Solaris is Europe's leading embedded finance platform. Solaris&rsquo; full German banking license and proprietary modular B2B tech stack empowers its partners &ndash; from SMEs to large, multinational, non-financial companies &ndash; to offer compliant, customer-centric banking services, providing seamless experiences to customers across all industries. Founded in 2016, Solaris pioneered the Banking-as-a-Service market with an unparalleled combination of tech and banking. Solaris is headquartered in Berlin and employs 300 people in Europe.
<h4 class="jobSectionHeader">
Your Role</h4>
<ul><li>Lead the design of complex, distributed micro-services and platforms, focusing on scalability, resilience, and maintainability.</li>
<li>Ensure architecturally inter-connected teams are aligned; facilitate bi-directional information flow between domain teams and the wider tech organization.</li>
<li>Drive high-level technology decisions, including framework selection, cloud infrastructure strategy, and third-party integrations.</li>
<li>Take accountability for the reliability, security, and performance of the fleet of micro-services and platform capabilities.</li>
<li>Establish and enforce coding standards, code review guidelines, and architectural patterns to ensure high-quality delivery.</li>
<li>Contribute to and champion infrastructure-as-code (IaC), CI/CD pipelines, and observability tools to maximize developer efficiency.</li>
<li>Lead the resolution of complex, cross-team technical incidents and conduct blameless post-mortems to prevent recurrence.</li>
<li>Help teammates grow as craftspeople through technical mentorship, pair programming, and sponsorship.</li>
<li>Translate complex technical topics into business value for Product Owners and stakeholders; translate business goals into technical requirements for engineers.</li>
</ul><h4 class="jobSectionHeader">We'd love to see</h4>

Depending on your level of experience, your responsibilities and scope of role will range. We don&rsquo;t care much about fancy titles, but rather about real personal and professional development, as laid out in our learning framework. Let&rsquo;s figure together out how you can contribute to our team.
<ul>
<li>A bachelor degree in Computer Science or equivalent.</li>
<li>10+ years of total professional experience in Software Engineering.</li>
<li>3+ years in a Technical Leadership role (e.g., Staff, Principal, Lead Architect) driving technical decisions across multiple teams or critical systems.</li>
<li>Proven track record of designing and evolving high-traffic, distributed systems or APIs.</li>
<li>Experience operating in a DevOps/You-Build-It-You-Run-It culture.</li>
<li>Possess the ability to read, review, and debug code in multiple modern languages (e.g., Java, Go) and adapt to the right tool for the job.</li>
<li>Deep expertise in designing distributed, high-throughput systems. Proven ability to select appropriate architectural patterns (e.g., Event-Driven, Microservices, CQRS, Hexagonal Architecture) based on business requirements and trade-offs.</li>
<li>Ability to evolve monolithic or legacy systems into modern architectures using different design patterns, without disrupting business continuity.</li>
<li>Advanced understanding of the container ecosystem and orchestration strategies. Capable of designing services that are truly cloud-agnostic and scalable.</li>
<li>Philosophically aligned with &quot;Everything as Code.&quot; Capable of guiding teams in managing complex infrastructure.</li>
<li>Ability to execute, deliver, and guide others through unclear goals and complex problem spaces without supervision.</li>
<li>Excellent written and verbal English (German is a plus). Able to explain trade-offs (e.g., Consistency vs. Availability) to non-technical audiences.</li>
<li>Ability to influence roadmaps and engineering culture without direct managerial authority.</li>
<li>A curious, constant learner who proactively shares knowledge via tech talks, documentation, and coaching.</li>
</ul><h4 class="jobSectionHeader">Benefits</h4>
<ul><li>Home office budget.</li>
<li>Learning &amp; development budget of &euro;1000 per year and a transparent growth framework to support your career goals.</li>
<li>Competitive salary and a variable remuneration program.</li>
<li>Monthly meal allowance.</li>
<li>Deutschland ticket subsidy.</li>
<li>28 vacation days, increasing by 2 days after 2 years and 3 days after 3 years with Solaris.</li>
<li>Opportunity to work abroad for up to 12 weeks per year.</li>
</ul>
While job ads usually paint an ideal picture of a candidate, studies show that most applicants meet an average of 60% of the criteria. Unfortunately, many promising candidates tend to apply only if they meet all the criteria. So if you think you have what it takes, but don't necessarily meet every single item in the job description, please contact us anyway. We'd love to talk with you and find out if you might be a good fit for us.

At Solaris, we are committed to nurturing an inclusive environment, where all Solarians feel valued, respected and supported. We are dedicated to building a diverse workforce that reflects the diversity of our communities. We are committed to equal employment opportunity regardless of color, ethnicity, religion, sex, origin, disability, marital status, citizenship, or gender identity. We are proud to be an equal opportunity workplace. If you have a disability or special need that requires accommodation, please let us know.

Information on data processing:

DE: https://www.solarisgroup.com/gdpr_notice_de 
EN: https://www.solarisgroup.com/gdpr_notice_en</div><div><div>
The annual gross salary range for this position is:
&euro;100.000 - &euro;125.000 EUR</div></div></div>

Principal Engineer

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