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OUR VISION When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more…
Skills: Quality engineering, Test strategy, Automation, Data processing, Python
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EnopAIMunich, Bavaria, Germany · Hybrid
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Munich, Bavaria, Germany · On-site
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Rolle Hive Robotics is building Europe’s first full-stack orchestration platform for unmanned systems: connecting, controlling, and commanding multi-vendor drone and robot swarms. Our RF communication systems are made in…
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Munich, Bavaria, Germany · On-site
#WeAreIn to create tiny chips and big careers. Was ist Dein nächster Move? Werde Teil von etwas Echtem - mit echten Projekten, echtem Impact und echten Chancen, Dich weiterzuentwickeln. Egal ob Praktikum, Werkstudierende…
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Munich, Bavaria, Germany · Hybrid
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Skills: AI operations, Project management, Data analysis, Automation, Python
Munich, Bavaria, Germany · Hybrid
$50k–$75k/yr
Die Stelle Als Projektleiter für Photovoltaik-Gewerbeprojekte (größer 500 kWp) begleitest du unsere Projekte ab Beauftragung über die gesamte Laufzeit. Du bist zentrale Ansprechperson für Kunden, Fachpartner und Kollegin…
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Munich, Bavaria, Germany · On-site
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Munich, Bavaria, Germany · On-site
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Munich, Bavaria, Germany · Hybrid
Company Description At the forefront of health technology for over 35 years, Munich-based Brainlab digitizes medical workflows, from diagnosis to therapy, to offer clinicians and patients better treatment possibilities. …
Skills: Clinical radiation therapy, Product management, R&D, Feasibility assessment, Stakeholder management
Munich, Bavaria, Germany · On-site
Du liebst Digitales? Dann mach’s zu deinem Job – starte jetzt durch bei Telefónica Deutschland! 💼 Vertragsart: Vollzeit, befristet 📍 Standort: Telefónica Standort München / DHBW Mannheim 📅 Studiumsbeginn: 01.09.2027 ⌛…
Skills: Programming, AI Modeling, Data Analysis, Office Applications, German Language
Munich, Bavaria, Germany · Hybrid
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Munich, Bavaria, Germany · On-site
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Munich, Bavaria, Germany · On-site
Du liebst Digitales? Dann mach’s zu deinem Job – starte jetzt durch bei Telefónica Deutschland! 💼 Vertragsart: Vollzeit, befristet 📍 Standort: Telefónica Standort München / HM München (zulassungsbeschränkt) 📅 Studiums…
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Munich, Bavaria, Germany · Hybrid
Die Capgemini Engineering Service GmbH ist Teil von Capgemini Engineering, dem weltweit führenden Anbieter von Ingenieurdienstleistungen. Gemeinsam bringen wir ein globales Team von Ingenieur*innen, Wissenschaftler*innen…
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Munich, Bavaria, Germany · On-site
Unternehmensbeschreibung KNDS Deutschland entwickelt, fertigt und betreut als Systemhaus ein breit gestreutes Produktportfolio. Dazu zählen Kampfpanzer, hochgeschützte Radfahrzeuge, Artilleriesysteme, Militärbrücken, Kun…
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Munich, Bavaria, Germany • Hybrid
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You will establish and evolve the team's quality-engineering system, including test strategy, standards, and feedback loops to ensure reliable software delivery. You will also design and build automated coverage for complex, large-scale data-processing workflows to reduce risk and manual effort.
The role requires several years of professional experience in quality engineering for data-intensive, high-performance systems. Candidates must possess solid Python skills, experience with Linux/Docker/Kubernetes, and a systematic, data-driven approach to diagnosing system failures.
When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.
That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better.
As a Senior Software Quality Engineer, you will shape how quality is engineered across the complex, data-intensive processing systems of NavVis IVION. Rather than acting as a final testing gate, you will build the test strategies, automation, data, observability, and feedback loops that help the team identify risks early and deliver reliable software with confidence. Your scope will cover individual processing components as well as end-to-end workflows, including advanced 3D data ingestion, processing, streaming, and web rendering.
You will join the IVION Data Foundation team, a growing group of engineers and domain specialists responsible for the spatial-data backbone of NavVis IVION. The team transforms reality-capture data into a fast, streamable, high-fidelity spatial intelligence layer, spanning data ingestion, semantic enrichment of point clouds and images, algorithmic cleaning and fusion, and the data structures that enable efficient storage, streaming, and 3D rendering.
The team works in a hybrid model, combining remote work with dedicated in-office days each week. We value spending time together in person, especially when tackling complex or ambiguous problems. We make extensive use of agentic coding tools, such as Claude Code, to amplify our impact and accelerate development. We develop on Linux or macOS, and our production systems run on Linux.
Establish and evolve the team’s quality-engineering system, including test strategy, standards, tooling, data, and feedback loops, while making quality a shared responsibility across the engineering team.
Design and build sustainable automated coverage for complex, large-scale data-processing workflows, focusing effort where it delivers the greatest reduction in risk, cost, and recurring manual work.
Ensure robust quality across advanced 3D capabilities, from point-cloud and Gaussian Splat ingestion through processing, streaming to the final web experience.
Identify the areas where the system is most likely to fail, including data edge cases, performance bottlenecks, orchestration issues, evolving interfaces, and cross-team dependencies, and translate those risks into effective test coverage.
Treat quality holistically by validating functional correctness, user experience, reliability, scalability, performance, and resource efficiency under realistic operating conditions.
Develop a scalable test-data strategy for large, complex, and continuously evolving spatial datasets, file formats, and data structures.
Enable developers and other team members through clear guidelines, practical test protocols, tooling, and quality signals so they can perform effective PR and release validation, while contributing hands-on manual testing selectively where additional expertise is most valuable
Several years of professional experience owning and advancing quality engineering for data-intensive, high-performance processing systems
Hands-on experience designing measurements and quality signals for correctness, runtime, scalability, and resource consumption across CPU, GPU, memory, storage, and I/O
A systematic, data-driven approach to investigating failures, diagnosing regressions, and distinguishing deterministic defects from effects caused by concurrency, parallelism, or non-deterministic system behavior
Solid Python skills and practical experience with PyTest or comparable test frameworks, combined with the ability to read unfamiliar code and build a strong understanding of complex systems
Practical experience working with Linux, Docker, and Kubernetes in development or production-like environments
Sound engineering judgment and a holistic mindset, applied to prioritizing between functional quality, performance, reliability, delivery speed, and infrastructure cost
Interest in applying AI beyond personal productivity to improve QA systems and automation, for example, turning observability signals into diagnoses, test cases, fixes, or pull requests
C++ knowledge
Experience testing 3D web-rendering technologies such as WebGL, WebGPU, or Three.js
Experience with browser automation tools such as Playwright
Your recruiting partner for this role is Lenka (she/her). You can expect to go through a screening call, and up to 4 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.
NavVis’ unwavering commitment to fostering an inclusive and diverse workplace has laid the foundation for our incredible growth. We thrive on the collective strength of our people who come from diverse backgrounds. We respect and value every experience associated with race, gender identity, sexual orientation, nationality, religion and disability. We do not discriminate on the basis of any of these, or other identities, and strongly encourage everyone to apply.
If you need assistance at any stage of the recruiting process due to a disability, please reach out to your recruiting partner(s) for this position.
BUILD BETTER REALITY — Bridge the gap between the physical & digital worlds through reality capture technology.
BUILD BETTER REALITY — Bridge the gap between the physical and digital worlds through reality capture technology that provides the digital foundation for the world you want to live in. We supply fast, reliable spatial data to service providers and enterprises seeking to capture photorealistic digital twins of the built environment. And our digital factory solutions enable greater organizational operability, productivity, agility, and profitability. Headquartered in Munich, Germany, and with offices in the United States, the United Kingdom, and China, NavVis serves global customers across the surveying, AEC, and manufacturing industries. Learn more at www.navvis.com.
Offices: Blutenburgstrasse 18, München, Deutschland 80636, DE · 10000 Washington Blvd, Culver City, California 90232, US · Tongren Road, Unit 1803B, Donghai Soho, No.299, Jingan District, Shanghai, Shanghai 200041, CN · 433 Broadway, Suite 410, New York, New York 10013, US · 170 Edmund Street, Birmingham, England B3 2HB, GB
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