Validation Engineer (f/m/d) at Munich Electrification | Munich

D ONE is an elite consultancy firm specializing in data, artificial intelligence, and transformation initiatives.We empower organizations to translate their ambitions into tangible impact by aligning strategic goals, establishing robust data foundations, delivering scalable high-impact solutions, and fostering trust through governance and a people-centric approach. Operating from Zurich, Munich, and Athens, we leverage our extensive expertise across the entire data value chain to support clients throughout Europe. Our methodology is pragmatic, focused on people, and designed to create lasting value.In this position, you will guide our clients through the conception, planning, and execution of data and AI solutions. Based in our Munich office, you will collaborate with your project team to deliver the high quality and reliability for which we are renowned.Your Responsibilities:Assessing client requirements and designing customized data solutions.Engaging in multiple project areas, including cloud engineering, infrastructure, data engineering, data science, and generative AI applications.Communicating findings and insights to stakeholders and management.Occasionally traveling to Switzerland and other international locations to meet clients and collaborate with our headquarters team in Zurich.What You Bring:A university degree in Computer Science or a related field.A minimum of 5 years of relevant work experience.Extensive hands-on experience with contemporary data engineering tools and platforms (e.g., Azure Data Factory, Databricks, Synapse, dbt, Palantir Foundry), along with proficiency in SQL, Python, and Spark.Experience in designing and implementing generative AI solutions, such as retrieval-augmented generation (RAG) systems, copilots, intelligent search, and workflow automation.A strong grasp of data modeling and data warehousing principles.A pragmatic and results-driven mindset.Excellent communication skills in English.What We Offer:A straightforward and low-distraction environment that allows for a focus on what truly matters.An international team of skilled professionals from diverse backgrounds, who are ambitious, enjoy challenges, and value a positive work atmosphere.Growth opportunities through our D ONE Academy, including mentoring programs, knowledge-sharing sessions, expert groups, and tailored training in soft skills and leadership.Regular team-building events and social gatherings.To Succeed in This Role, You Should:Be committed to understanding your clients' needs.Deliver exceptional results that provide high business value in an easily understandable format.Possess the intellectual agility needed to facilitate smooth collaboration.Value innovative and collaborative teamwork.

Join the Revolution in MobilityAt Munich Electrification, we are at the forefront of transforming electric and connected mobility. Our team develops cutting-edge electronic control units tailored for electric vehicles and stationary energy storage systems serving clients worldwide. Our spirited international team comprises dedicated and talented engineers who thrive in a collaborative environment. Located in the vibrant heart of Munich at Heimeranplatz, our office is equipped with an adjacent prototype and testing lab, fostering innovation and creativity.We are driven by the following principles:Technological Leadership: We push boundaries, innovate rapidly, and foresee future demands. We take calculated risks and learn from our experiences to remain industry leaders.Sustainability: Committed to a sustainable future, we recognize our impact and inspire others in the quest for a better world.Team Culture: We believe work should be fulfilling, promoting a culture of inspiration, celebration, and teamwork worldwide.Entrepreneurial Spirit: We embrace adaptability, think ambitiously, and challenge the status quo with enthusiasm.

Munich Electrification seeks an IT Applications & Cloud Engineer (f/m/d) to support and develop the company’s IT infrastructure and cloud services. This full-time role is based in Munich. Role overview This position focuses on designing, implementing, and maintaining business applications within cloud environments. The engineer will play a key part in ensuring that IT solutions remain reliable and deliver strong performance across the organization. What you will do Design, implement, and maintain business applications in cloud settings Collaborate with teams throughout the company to deliver effective IT solutions Support projects aimed at strengthening and advancing the IT landscape Location This position is based in Munich.

Role overview Munich Electrification is hiring a Digital Transformation Engineer based in Munich. This position focuses on driving digital innovation to improve operational efficiency and enhance service quality through technology. Key responsibilities Partner with teams across the company to identify opportunities for digital transformation. Design solutions that align with business goals and simplify existing processes. Apply recognized industry standards and established methods to ensure effective implementation. Support colleagues as they adopt new digital tools and workflows. Collaboration and impact This role requires working closely with colleagues from various departments. The Digital Transformation Engineer plays a key part in guiding the organization through digital change, making sure new solutions are practical and meet business needs.

About Munich ElectrificationMunich Electrification is at the forefront of the electric and connected mobility revolution. Our dedicated team develops cutting-edge electronic control units for electric vehicles and stationary storage systems, catering to a global clientele. Nestled in the vibrant heart of Munich at Heimeranplatz, our office combines innovative design with a state-of-the-art prototype and testing lab, fostering a collaborative environment where every engineer's contribution is valued and nurtured.Our core principles include:Technological Leadership: We embrace innovation, challenge the status quo, and proactively address future mobility needs.Sustainability: We are committed to fostering a sustainable future and inspiring others to join us in making a positive impact.Team Culture: We strive to create a workplace that is both enjoyable and motivational, celebrating achievements and teamwork.Entrepreneurial Spirit: We welcome change, think ambitiously, and pursue our passion with vigor.Your RoleAs a Design Quality Engineer at Munich Electrification, you will champion the highest standards of quality and compliance for our hardware products throughout their development lifecycle—from concept to post-launch support. Your expertise will connect hardware design with testing, serving as a Subject Matter Expert (SME) in system integration, safety compliance (FMEDA, WCCA), and design quality for our advanced automotive battery components and circuit boards. You will oversee design control deliverables, ensure adherence to rigorous design guidelines, and actively participate in significant design reviews and audits, safeguarding compliance with all quality and regulatory standards.Your Future Tasks at a GlanceDesign Control & Robustness Oversight: Plan and facilitate the execution of design control deliverables throughout product development and in post-launch care activities, ensuring hardware quality from initial Altium circuit design to final manufacturing release.

About Munich ElectrificationMunich Electrification is at the forefront of transforming electric and connected mobility. We specialize in creating cutting-edge electronic control units for electric vehicles and stationary storage systems, serving a diverse range of global clients. Our dynamic team of talented engineers thrives in a collaborative environment where every team member’s contributions are valued. Conveniently located at Heimeranplatz in Munich, our office is adjacent to our prototype and testing lab, fostering innovation and creativity.We are committed to the following principles:Technological Leadership: We challenge the status quo, embrace rapid innovation, and proactively anticipate industry trends. We take calculated risks and learn from our experiences to maintain our competitive edge.Sustainability: We are dedicated to driving change for a sustainable future, understanding our impact, and inspiring others to contribute to a better world.Team Culture: We believe that work should be fulfilling and enjoyable, promoting a culture of inspiration, celebration, and teamwork across the globe.Entrepreneurial Spirit: We embrace change, think big, and pursue our passions with fervor.

About Munich ElectrificationAt Munich Electrification, we are at the forefront of driving the shift towards electric and connected mobility. Our mission is to create cutting-edge electronic control units tailored for electric vehicles and stationary storage systems, serving a diverse clientele around the globe. Our dynamic international team is made up of passionate and talented engineers who work closely together in a supportive atmosphere that values each individual’s contributions. Our office, alongside a well-equipped prototype and testing lab, is conveniently situated in the heart of Munich at Heimeranplatz.We are defined by our core values:- Technological Leadership: We challenge the status quo, innovate rapidly, and foresee future demands. We take calculated risks and learn from our experiences to maintain our competitive edge.- Sustainability: We are committed to driving positive change for a sustainable future, recognizing our impact and motivating others to contribute to a better world.- Team Culture: We believe in creating an enjoyable workplace, instilling a sense of inspiration, celebration, and collaboration across our global team.- Entrepreneurial Spirit: We welcome change, think ambitiously, and push boundaries with enthusiasm.Your RoleWe invite you to join our dedicated Battery Science and Data team as a Battery Science & Data Engineer. In this role, you will spearhead an exploratory diagnostic workstream, delving into the advancements that battery diagnostics can bring to our Battery Management Systems. Your work will encompass state estimation of internal battery conditions and progress towards fault and anomaly detection. Collaborating with our lab demonstrators utilizing real BMS hardware, you will assess diagnostic methods practically and convert your insights into algorithm concepts that will enhance our product pipeline.This position is integral to a focused pre-development team tasked with validating new ideas before they transition to software engineering or cloud deployment. Your contributions will align with the team’s wider objectives in cloud analytics, edge inference, and safety-critical detection algorithms. You will define the methodology while we collectively set the strategic direction.Your Future Tasks at a GlanceLead an exploratory workstream, defining the technical direction and executing hands-on work in the lab. Your success will be measured by how effectively lab-tested concepts are integrated into our real-world BMS product pipeline.Design and evaluate sophisticated diagnostic algorithms for state estimation and detection.

JOIN US IN TRANSFORMING EDUCATIONBecome part of our mission to create the leading AI learning companion for 1 billion students worldwide.At Knowunity, we envision a future where quality education is accessible, enjoyable, and beneficial for every student across the globe. Founded in 2020 straight out of high school, we are dedicated to redefining the learning experience for students.Our innovative AI learning companion is already utilized by millions of students each week. Recently, we secured €27 million in funding—the largest education investment in Europe in the past three years. The AI learning sector is at a pivotal moment, enabling unprecedented personalization at scale, and we are determined to establish the first AI learning unicorn in this domain.Join our talented team of 60 passionate builders, committed to serving 1 billion students globally. If we realize our product vision, you will contribute to creating something transformative that will redefine education as we know it.Seize the opportunity to be part of a generational company.YOUR ROLEYou will have the chance to shape the future of student learning. Engineering is the heartbeat of our organization; it drives Knowunity's vision. You will take ownership of this educational revolution, focusing on:Innovative video content creation at scale with true personalization.Developing predictive models for topics to provide tailored guidance and personalization, tapping into the vast potential of AI.Creating diverse and guided learning practices to modernize the approach to student engagement.Implementing multi-modal outputs, moving beyond text-heavy formats to interactive cards, graphs, and practice elements.Understanding the learning styles of Generation Alpha and adapting our solutions accordingly.Exploring how AI companions can foster social learning and community among students.Quickly deploying A/B tests to millions of users to refine our offerings.YOUR IMPACT:Lead the end-to-end development of AI products that deliver tangible value to students across our extensive user base.

Role overview This Data Engineer position at airapps centers on designing, building, and maintaining data pipelines and architectures. The work supports the company’s applications and ensures consistent, high-quality data for analytics. Collaboration is a key part of the role. Data Engineers here work closely with data scientists and software engineers to improve data processing and reliability across projects. Location This role is based in Munich. What you will do Build and maintain data pipelines that support airapps’ products Develop and refine data architectures for reliable analytics Work with data scientists and software engineers to improve data quality and processing

About Munich ElectrificationAt Munich Electrification, we are pioneers in the realm of electric and connected mobility, dedicated to propelling the shift toward a sustainable future. We design cutting-edge electronic control units for electric vehicles and stationary storage systems, serving clients around the globe. Our dynamic and diverse team comprises exceptionally talented engineers who are passionate about innovation. As a close-knit group, we recognize the unique contributions of each member and are committed to nurturing their growth according to their individual strengths and aspirations. Our headquarters, complete with a state-of-the-art prototype and testing lab, is located at Heimeranplatz in the vibrant city of Munich.Our core values include:Technological Leadership: We constantly challenge the status quo, innovate rapidly, and anticipate future demands. We embrace calculated risks and learn from our experiences to maintain our competitive edge.Sustainability: We are proactive in fostering change for a greener future, mindful of our impact, and motivating others to contribute to a better world.Team Culture: We believe in creating a joyful work environment that promotes inspiration, celebration, and collaboration across our global workforce.Entrepreneurial Spirit: We welcome change, think ambitiously, and passionately push boundaries.

D-ploy is a global provider of IT and engineering solutions, delivering exceptional services across various sectors including Switzerland, Germany, Czech Republic, Austria, the United Kingdom, and the United States.We take pride in offering innovative solutions to industry-leading clients. By fostering relationships and building trust within the IT community, we enhance our clients' IT productivity and contribute to their overall success and values.We are looking for dedicated, flexible, and solution-oriented individuals who are eager to work onsite in Munich and become part of a dynamically growing international organization.Join us in making IT work!

Job ResponsibilitiesAs a Generative AI Engineer (m/w/d), you will independently develop and implement Generative AI models, (Multi-)agent-based LLM applications, and AI-driven solutions tailored to our clients' specific needs. This involves identifying and analyzing challenges within the context of AI and generative models.You will create and maintain AI pipelines, APIs, and interactive applications, working with components such as Large Language Models, multimodal models, Knowledge Graphs, and AI-supported products.Your role will also include working on complex AI projects, analyzing business applications for generative AI, and translating them into technical solutions.Utilizing your communication skills, you will collaborate closely with our clients to analyze their challenges in the context of GenAI and present the outcomes in an understandable manner.You will work across various technology stacks, including Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks, and cloud infrastructure.Acting as a mentor for junior colleagues in the field of AI, you will facilitate knowledge transfer within the team.You will benefit from our team's learning resources, hackathons, and various opportunities to advance your technical development in Generative AI and maintain a presence in the community.BenefitsRegular and systematic training opportunities in Generative AI, LLM development, and cloud architecture.Access to cross-industry projects, such as banking, insurance, automotive, and retail.Collaborations with leading partners in cloud, AI/ML, and AutoML, along with access to enterprise versions of leading LLMs.Work in an open, flat environment within a broad Reply network for knowledge exchange.

About Munich ElectrificationMunich Electrification is at the forefront of pioneering the shift towards electric and connected mobility solutions. Our team designs cutting-edge electronic control units for electric vehicles and stationary storage systems, catering to a diverse range of global clients. Nestled in the vibrant heart of Munich, our office is complemented by an adjacent prototype and testing lab, fostering collaboration among our dedicated group of exceptional engineers.We are driven by principles that shape our operations:Technological Leadership: We challenge conventions, drive rapid innovation, and remain proactive in addressing future demands.Sustainability: Our commitment to a sustainable future inspires us to effect positive change and motivate others towards creating a better world.Team Culture: We cherish a workplace that is enjoyable and collaborative, promoting a global spirit of inspiration and celebration.Entrepreneurial Spirit: We wholeheartedly embrace change, nurture bold ideas, and consistently strive to surpass boundaries.Your RoleAs a Supply Chain Analyst, you will play a vital role in forging and nurturing relationships with our electronic component suppliers to secure their production capabilities in alignment with our product needs. You will oversee supply chain forecasting and collaborate with our Operations Managers to manage the ME multi-source strategy effectively. Additionally, you will establish a Supply Chain Monitoring system, tracking and analyzing our product development lifecycle and supply chain status, with a keen focus on identifying potential obsolete components and supply bottlenecks. Regular communication with our Production Partners and key component manufacturers will be essential, as you will serve as the primary point of contact for all matters related to component supply.Your ResponsibilitiesFacilitate continuous and effective communication with our key component manufacturers and EMS partners.Develop and enhance the ME Multi Source Strategy to guarantee uninterrupted supply from all relevant suppliers.Monitor and assess the lifecycle status of each electronic component supplied for our products.Support our Operations Managers in optimizing supply chain processes and strategies.

As a Principal Data Engineer at Thoughtworks, you will serve as a strategic leader, driving innovative data engineering initiatives that address complex business challenges and reveal transformative insights. Your extensive understanding of clients' business ecosystems will empower you to collaborate with executives, ensuring that technology strategies are aligned with overarching business objectives. By contextualizing emerging trends and utilizing Thoughtworks' capabilities, you will enhance the influence of data engineering within client organizations.Leveraging your expertise in crafting modern data architectures, you will establish robust infrastructure to manage data applications effectively.Collaboration is key; you will communicate your findings compellingly to both technical and non-technical stakeholders. Staying updated with industry advancements, you will uphold data quality and security while mentoring junior team members.At Thoughtworks, your technical acumen will be pivotal in solving intricate business challenges, significantly contributing to client success.

Intrinsic Robotics, a pioneering venture within Alphabet, is dedicated to revolutionizing the landscape of industrial robotics. Our team is driven by the belief that breakthroughs in artificial intelligence, perception, and simulation will reshape the capabilities of industrial robotics in the near future, with software and data at the heart of this transformation. Our mission is to make intelligent industrial robotics accessible and usable for a multitude of businesses, entrepreneurs, and developers. We are a vibrant group of engineers, roboticists, designers, and technologists, all committed to unleashing the creative and economic potential of industrial robotics.Role OverviewIn your capacity as a Senior Research Engineer specializing in Data Engine, you will spearhead the design and implementation of systems that facilitate the training, deployment, and utilization of large-scale AI models for robotics. Your leadership will shape the technical direction, mentor fellow engineers, and ensure the establishment of robust, scalable data pipelines and machine learning infrastructure essential for enhancing the capabilities of robots in real-world settings. Your contributions will empower both internal teams and external partners by delivering accessible tools and infrastructure for integrating advanced AI methodologies into robotic applications.Key ResponsibilitiesLead the architecture and execution of infrastructure for training and deploying large-scale robotic foundation models.Manage the development and upkeep of data pipelines for the collection, processing, and integration of real-world robot data into machine learning workflows.Enable machine learning researchers and engineers with user-friendly tools and infrastructure for leveraging AI techniques in robotics.Collaborate with product and engineering teams to specify infrastructure needs and deliver effective solutions for both partners and customers.

About Munich ElectrificationMunich Electrification is a pioneering company dedicated to expediting the shift towards electric and connected mobility. We design cutting-edge electronic control units for electric vehicles and stationary storage systems, serving clients worldwide. Our diverse team consists of highly motivated engineers, working closely together in a supportive environment that values each individual’s contributions. Our office, equipped with a prototype and testing lab, is centrally located at Heimeranplatz in Munich.Our core values include:- Technological Leadership: We challenge conventional standards, innovate swiftly, and anticipate future demands. We take calculated risks and learn from our experiences to maintain our competitive edge.- Sustainability: We are committed to fostering a sustainable future, recognizing our impact, and inspiring others to contribute to a better world.- Team Culture: We believe that work should be enjoyable, cultivating a spirit of inspiration, celebration, and collaboration across our global team.- Entrepreneurial Spirit: We embrace change, think big, and pursue our passions with determination.

About UsAt Supermodular AI, we empower enterprises to successfully undergo AI transformation. Our philosophy is rooted in the belief that strategic insights are best realized through practical execution.While many organizations recognize the transformative potential of AI, they often face challenges in translating that vision into substantive operational changes. The hurdles typically lie not within the technology itself, but in integrating AI into intricate systems and workflows that have been developed over time. We assert that AI transformation cannot be purely theoretical; true strategy is forged through the actual building, deployment, and operation of AI systems within the organization.Our approach involves direct collaboration with enterprise IT and software teams to architect and implement AI systems in real-world settings. This includes facilitating engineering teams to adopt innovative AI-native development practices, frameworks, and technical resources that redefine software development and operations. Additionally, we create tailored AI systems that address complex modernization challenges that conventional strategies have failed to overcome.Our team boasts a robust history of devising impactful AI systems and enhancing engineering capabilities within complex enterprise environments. If you thrive on tackling challenging enterprise problems and transforming ambitious concepts into functioning systems, Supermodular AI is the place for you.Your RoleAs a Senior Deployment Strategist at Supermodular AI, you will be at the forefront of driving AI transformation within large enterprises.In this pivotal role, you will engage with enterprise leaders, engineers, and operators to gain insights into their current systems and workflows, identify opportunities for meaningful AI integration, and spearhead initiatives that propel the organization forward.You will collaborate closely with an AI Product Manager, forming a dynamic leadership duo for each project. Together, you will identify critical problems to address and define the desired outcomes.Taking ownership of the technical design of AI solutions, you will lead the execution process, working alongside Forward Deployed Software Engineers to ensure our systems perform reliably in actual enterprise environments.This position is ideal for individuals who are adept at navigating ambiguous scenarios, bridging AI capabilities with organizational realities, and leading intricate transformation efforts in large organizations.

ResponsibilitiesAs a Data Scientist (m/w/d), you will autonomously develop and implement data models and algorithms tailored to our clients' unique solutions, identifying and analyzing problems within an analytical framework.You will create and maintain data pipelines and dashboards, engaging with a diverse array of data-related components such as data platforms, dashboards, and products centered around data and machine learning.Work on complex projects and datasets, analyzing business challenges and translating them into data science solutions.Leverage your strong communication skills to collaborate closely with our clients, analyzing their issues and effectively conveying the results.You will work across various technology stacks (e.g., Azure, AWS, GCP, DBX, ELK, Spark, Databricks, etc.).Act as a mentor for junior data scientists, facilitating knowledge transfer within the team.Benefit from our team’s resources, learning opportunities, hackathons, and other avenues to advance your technical development and maintain a presence in the machine learning community.BenefitsRegular and systematic training opportunities (both external and internal) in the fields of Data Engineering, Cloud Architecture, and Data Science.Access to industry-spanning projects (large and medium-sized companies in sectors such as banking, insurance, automotive, retail, etc.).Leading partnerships in the fields of Cloud, AI, and Data Science.

Join comstruct, a pioneering platform revolutionizing materials procurement for the construction industry, as we lead the transition towards advanced digital and automated processes. We are on the lookout for extraordinary talent to help us provide smarter, more efficient solutions that empower our clients.We are seeking a dedicated and talented full-time Senior Software Engineer to become a vital part of our Core team. In this role, you will be instrumental in enhancing and scaling our Integrations platform, facilitating its evolution into comstruct’s Data Processing system.Your responsibilities will include broadening our scope to encompass the ingestion, processing, and integration of all essential data, such as invoices and external ERP systems.As a technical leader, you will spearhead this transformation. Your initial major project will involve designing and directing the complete rewrite of our delivery note ingestion pipeline, transitioning us to a modern, asynchronous, queue-based architecture that aligns with our ambitious vision.As a hybrid workplace, we cherish in-person collaboration and require employees to work from our Munich office three days a week.Your Responsibilities Lead Systems Design: Drive the technical design and implementation of our innovative asynchronous data processing platform.Build Data Pipelines: Develop and scale systems for data ingestion and processing from various sources (emails, APIs, portals) and integrate with external systems (ERPs).Own Data Extraction: Take charge of our data extraction services, including our existing LLM-based solutions, while enhancing and scaling them.Expand Team Ownership: Assist the team in adopting new responsibilities, such as invoice processing and managing our public API, to ensure a cohesive approach to data processing.Provide Technical Leadership: Serve as a senior technical authority within the team, contributing to high-quality designs, offering insightful code reviews, and mentoring fellow engineers informally.Improve Existing Systems: Evaluate and enhance the architecture, reliability, and performance of our current integration services.Qualifications Needed for Success Experience: A minimum of 5 years of professional experience in building and maintaining complex, mission-critical software solutions.Strong Engineering Fundamentals: Demonstrated expertise in modern high-level programming languages and software engineering practices.