Embedded Software Engineer (m/f/d) AI & Rapid Prototyping
π Job Overview
Job Title: Embedded Software Engineer (m/f/d) AI & Rapid Prototyping
Company: Thales
Location: Ditzingen, Baden-WΓΌrttemberg, Germany
Job Type: Full-time
Category: Embedded Software Engineering / AI / Rapid Prototyping
Date Posted: June 19, 2026
Experience Level: Mid-Level (2-5 years)
Remote Status: Hybrid
π Role Summary
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Develop and implement the control and application layer for complex sensor demonstrators, integrating hardware and processing components into coherent systems.
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Design and maintain clean interfaces, manage system modes, resources, and configurations to ensure optimal operability and testability.
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Collaborate within a small, interdisciplinary prototyping team focused on rapid development and iteration for AI and sensor system applications.
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Contribute to the full software development lifecycle, from initial design and implementation to automated testing and deployment, ensuring high-quality, reliable embedded software solutions.
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Apply modern C++ and Python skills in a Linux environment, leveraging expertise in multithreading, inter-process communication, and network programming.
π Enhancement Note: This role focuses on the application and control software for sensor systems, implying a need for strong systems thinking and integration skills. The "Rapid Prototyping" aspect suggests a dynamic environment requiring agility and quick iteration. The "AI" component indicates potential work with machine learning models or AI-driven functionalities within the embedded context.
π Primary Responsibilities
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Design, develop, and maintain the control and application software layer for sensor demonstrators, effectively integrating various hardware and processing elements into a unified system.
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Architect and implement robust, clean interfaces between software components and hardware modules, ensuring seamless data flow and control.
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Develop and manage system operational modes, resource allocation, configuration settings, and scheduling to optimize performance and stability.
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Implement comprehensive health monitoring, data recording, and operator-facing API functionalities to enhance system observability and usability.
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Create and maintain automated testing frameworks and integrate them into CI/CD pipelines to ensure software quality, reliability, and efficient deployment.
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Write and optimize Python scripts for automation, testing, and utility functions within the embedded development environment.
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Participate actively in rapid prototyping cycles, iterating quickly on designs based on hardware feedback and system performance.
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Collaborate effectively with cross-functional teams, including hardware engineers and domain experts, to define requirements and deliver integrated solutions.
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Contribute to the definition and maintenance of interface specifications, ensuring precision and quality in all system interactions.
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Prepare and conduct software integration and measurement campaigns, potentially involving travel.
π Enhancement Note: The primary responsibilities highlight a blend of core embedded software development, systems integration, and a proactive, hands-on approach to prototyping, which is critical for a role involving AI and rapid iteration. Emphasis on "operable, observable and testable" implies a strong focus on system-level quality assurance and maintainability.
π Skills & Qualifications
Education:
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Completed technical studies (e.g., Bachelor's or Master's degree) in Computer Science, Electrical Engineering, or a related field. Experience:
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2-5 years of professional experience in embedded software development, with a focus on application and control layers.
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Proven experience in software architecture and design, including component-based design, defining clean interfaces, and applying design patterns.
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Hands-on experience with automated testing methodologies and CI/CD toolchains (e.g., GitLab CI/CD, Jenkins). Required Skills:
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Strong proficiency in modern C++ programming, specifically on Linux environments.
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Expertise in multithreading, inter-process communication (IPC), and network programming within embedded systems.
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Solid understanding of software architecture principles and design patterns.
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Experience with automated testing and CI/CD toolchains.
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Good Python scripting skills for automation and utility tasks.
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Analytical and structured approach to problem-solving and system design.
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High level of ownership, self-directed, and proactive working style.
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Strong precision and quality awareness, particularly in verification and interface definition.
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Excellent team and communication skills, comfortable in a small, interdisciplinary team.
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Pragmatic, hands-on prototyping mindset with a willingness to iterate rapidly.
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Very good command of German and English languages. Preferred Skills:
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Experience with containerization technologies such as Docker.
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Familiarity with deployment automation techniques.
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Experience with soft-real-time or embedded systems.
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Domain experience in sensor systems, automation, or comparable data-intensive products.
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Knowledge of radar systems.
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Willingness to travel for integration and measurement campaigns (~15%).
π Enhancement Note: The distinction between required and preferred skills emphasizes core C++/Linux expertise as fundamental, while containerization, specific domain knowledge, and soft-real-time experience are seen as valuable additions that can accelerate ramp-up and contribution. The language requirements are critical for collaboration in the German context.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase of projects demonstrating robust software architecture and design principles, particularly in component design and interface definition.
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Examples of complex C++ codebases developed for Linux, highlighting multithreading, IPC, and network programming implementations.
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Demonstrations of automated testing frameworks, CI/CD pipeline integration, and successful deployment automation.
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Case studies of rapid prototyping initiatives, illustrating fast iteration cycles, hardware interaction, and learning from physical systems.
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Evidence of work on data-intensive products or sensor systems, showcasing an understanding of data processing and system integration. Process Documentation:
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Documentation of workflow design and optimization for embedded software development processes.
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Examples of implemented automation methods for testing, building, and deploying embedded software.
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Metrics and performance analysis reports for software components or system demonstrators, illustrating measurement and optimization efforts.
π Enhancement Note: For this role, a portfolio should highlight practical application of skills. Candidates should be prepared to discuss the design choices, trade-offs, and iterations involved in their projects, especially those related to prototyping and system integration, rather than just presenting finished products.
π΅ Compensation & Benefits
Salary Range:
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Estimated Range: β¬60,000 - β¬85,000 per annum.
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Methodology: This estimate is based on industry benchmarks for mid-level Embedded Software Engineers with 2-5 years of experience in Germany, specifically in the Baden-WΓΌrttemberg region, considering the technical specialization (AI, Rapid Prototyping), and the employer's industry (defense/aerospace technology). Factors such as specific qualifications, interview performance, and cost of living in the Ditzingen area were also considered. Salary data was cross-referenced from sources like Glassdoor, StepStone, and salary surveys for comparable tech roles in Germany.
Benefits:
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Competitive salary and annual bonus potential.
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Comprehensive health insurance coverage (German statutory and supplementary options).
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Generous paid time off (vacation days) and public holiday compensation.
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Company pension scheme contributions.
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Opportunities for professional development, training, and certifications.
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Access to Thales's global R&D initiatives and cutting-edge technology.
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Hybrid work model offering flexibility.
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Relocation assistance may be available for qualified candidates.
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Potential for travel for integration and measurement campaigns, with associated allowances. Working Hours:
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Standard working hours are approximately 40 hours per week, with flexibility offered as part of the hybrid work arrangement.
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Occasional overtime may be required for critical project deadlines or integration campaigns, with compensation or time-off-in-lieu typically provided.
π Enhancement Note: The salary range is an estimation. Specific compensation will be determined by the candidate's qualifications, experience, and negotiation. Thales, as a large multinational corporation, typically offers a robust benefits package reflective of industry standards in Germany.
π― Team & Company Context
π’ Company Culture
Industry: Defense & Security, Aerospace, Cybersecurity, Digital Identity. Thales operates at the forefront of critical technology sectors, demanding high standards of innovation, security, and reliability. This context influences the company's approach to R&D, product development, and operational processes.
Company Size: Over 85,000 employees globally, with a significant presence in Germany. This indicates a large, stable organization with extensive resources, opportunities for internal mobility, and established processes, while also maintaining specialized teams for focused projects.
Founded: Thales Group was founded in 2000 through the merger of Thomson-CSF and Alcatel's defense activities. This history provides a foundation of expertise in critical technologies.
Team Structure:
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The role is part of a small, interdisciplinary prototyping team focused on AI and rapid development for sensor demonstrators.
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Reporting structure likely involves a Team Lead or Engineering Manager overseeing specific project teams.
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Cross-functional collaboration is essential, with close interaction between software engineers, hardware engineers, AI specialists, and potentially domain experts. Methodology:
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Data-driven approach to development and decision-making, leveraging analytics for performance monitoring and optimization.
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Agile and iterative methodologies are likely employed, especially within the prototyping team, emphasizing rapid development cycles and continuous feedback.
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Strong focus on quality assurance, verification, and validation of embedded systems.
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Emphasis on innovation and R&D, with significant investment in key technologies like AI, cybersecurity, and quantum computing.
Company Website: https://www.thalesgroup.com/
π Enhancement Note: Thales's position in defense and security implies a culture that values precision, reliability, and security above all else. The prototyping team's focus on AI and rapid iteration suggests a more agile and experimental sub-culture within the larger organization, balancing speed with rigorous quality standards.
π Career & Growth Analysis
Operations Career Level: This role is positioned as a Mid-Level Embedded Software Engineer, typically requiring 2-5 years of relevant experience. It involves taking ownership of specific software modules and contributing significantly to the design and implementation of complex systems.
Reporting Structure: The engineer will likely report to an Engineering Manager or Team Lead within the R&D or product development department for sensor systems. Collaboration will extend to peers in software, hardware, and AI/ML domains.
Operations Impact: The software developed directly influences the functionality, performance, and operability of critical sensor systems used in defense, security, and aerospace applications. This role has a direct impact on the capability and reliability of Thales's technological offerings, contributing to their market leadership and mission success.
Growth Opportunities:
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Technical Specialization: Deepen expertise in embedded C++, AI/ML integration in embedded systems, real-time operating systems, or specific sensor technologies.
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Leadership Development: Progress to a Senior Embedded Software Engineer role, taking on more complex architectural challenges, mentoring junior engineers, or leading specific software workstreams.
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Project Management: Transition into roles managing software development projects or technical leads for product development initiatives.
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Cross-functional Mobility: Explore opportunities in related fields such as systems engineering, AI research, or R&D management within Thales.
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Continuous Learning: Access to Thales's extensive R&D investment provides opportunities to work with cutting-edge technologies and participate in advanced training programs and industry conferences.
π Enhancement Note: Growth in this role is likely to be along two primary paths: deepening technical expertise in embedded systems and AI integration, or moving into leadership and project management roles within Thales's structured career framework. The company's investment in R&D suggests a strong commitment to employee development in advanced technological areas.
π Work Environment
Office Type: The role is based in Ditzingen, Germany, within a Thales facility that likely includes modern office spaces, dedicated R&D labs, and prototyping workshops. The environment is expected to be professional and geared towards collaborative innovation.
Office Location(s): Ditzingen, Baden-WΓΌrttemberg, Germany. This location is part of a significant industrial and technological hub in Germany.
Workspace Context:
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A hybrid work model is in place, allowing for a balance between on-site collaboration and remote work.
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The workspace will support collaboration with small, interdisciplinary teams, likely involving shared office areas, meeting rooms, and access to lab equipment for hardware interaction.
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Employees will have access to necessary operational tools, development environments, and testing equipment crucial for embedded software engineering.
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Opportunities for direct interaction with hardware prototypes and team members will be frequent, especially during integration and testing phases.
Work Schedule: The standard work schedule is likely aligned with typical German business hours (e.g., Monday-Friday), with flexibility provided through the hybrid model. The 15% travel requirement for integration and measurement campaigns means occasional periods may involve different schedules and locations.
π Enhancement Note: The hybrid work environment suggests a need for strong self-management and communication skills, as well as the ability to effectively collaborate both in-person and remotely. The integration campaign travel indicates a dynamic work schedule at times, requiring adaptability.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and cover letter by the Talent Acquisition team, focusing on key skills and experience relevant to embedded C++, Linux, and prototyping.
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Technical Interview(s): In-depth discussions covering C++ proficiency, Linux internals, software architecture, multithreading, IPC, and problem-solving. May include coding exercises or whiteboard sessions.
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Skills & Experience Deep Dive: Further exploration of your experience with CI/CD, Python scripting, containerization, and any relevant domain knowledge (sensors, AI). This stage may involve presenting your portfolio.
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Team/Cultural Fit Interview: Discussion with potential team members and managers to assess collaboration style, problem-solving approach, and alignment with Thales's values and the team's dynamic.
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Final Interview: May involve senior management or project leads to discuss overall fit, career aspirations, and potentially specific project challenges.
Portfolio Review Tips:
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Curate Selectively: Choose 2-3 projects that best demonstrate your core skills in C++, Linux, software architecture, and rapid prototyping.
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Highlight Process & Iteration: For each project, clearly articulate the problem, your design choices, the iterative process, challenges faced, and the final solution. Emphasize how you learned from hardware feedback.
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Showcase Technical Depth: Be prepared to walk through code snippets, explain architectural decisions, detailing your approach to multithreading, IPC, and interface design.
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Quantify Impact: Where possible, use metrics to demonstrate the efficiency, performance improvements, or reliability gains achieved through your software contributions.
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Tailor to the Role: Explicitly connect your portfolio projects to the requirements of the Embedded Software Engineer (AI & Rapid Prototyping) role at Thales, highlighting relevant technologies and challenges.
Challenge Preparation:
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Coding Challenges: Practice modern C++ problems involving multithreading, concurrency, data structures, and algorithms, common in embedded Linux environments.
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System Design: Prepare to discuss how you would architect a control and application layer for a sensor demonstrator, including interface design, resource management, and operability aspects.
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Problem-Solving Scenarios: Think about how you would debug complex embedded systems, diagnose issues in multithreaded applications, or optimize performance within resource constraints.
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AI/ML Integration: If you have experience, be ready to discuss how you've integrated AI models or algorithms into embedded systems, or how you would approach it.
π Enhancement Note: The interview process is likely to be rigorous, with a strong emphasis on practical application of technical skills and problem-solving abilities. A well-prepared portfolio that showcases relevant projects and demonstrates a clear understanding of the development process is crucial.
π Tools & Technology Stack
Primary Tools:
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Programming Languages: Modern C++ (primary), Python (scripting, automation).
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Operating Systems: Linux (specifically for embedded systems).
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Development Environments: IDEs such as VS Code, CLion, or Eclipse CDT; potentially specific embedded development platforms.
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Version Control: Git (e.g., via GitLab, which is mentioned in the requirements).
Analytics & Reporting:
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CI/CD Tools: GitLab CI/CD, Jenkins (as per requirements).
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Debugging Tools: GDB, Valgrind, potentially hardware-specific debuggers (e.g., JTAG, SWD).
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Profiling Tools: Tools for performance analysis and memory usage within the embedded Linux environment.
CRM & Automation:
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Containerization: Docker (advantageous).
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System Orchestration/Deployment: Tools for deployment automation (advantageous).
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Real-time Operating Systems (RTOS): Experience with RTOS (advantageous) would be relevant for soft-real-time applications.
π Enhancement Note: Proficiency in C++, Linux, and CI/CD tools is non-negotiable. Experience with Docker and other automation tools will be a significant advantage, reflecting the industry's trend towards modern DevOps practices in embedded development.
π₯ Team Culture & Values
Operations Values:
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Precision and Quality: A core value, especially critical in defense and security, emphasizing meticulous attention to detail in code, design, and verification.
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Innovation and Agility: Fostering a culture of rapid prototyping and embracing new technologies like AI, balanced with rigorous development processes.
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Collaboration and Teamwork: Encouraging open communication and mutual support within small, interdisciplinary teams to achieve complex goals.
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Ownership and Proactivity: Expecting individuals to take initiative, drive their tasks forward, and demonstrate a strong sense of responsibility for their work.
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Pragmatism and Hands-on Approach: Valuing practical problem-solving and a willingness to experiment and learn directly from hardware interactions.
Collaboration Style:
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Interdisciplinary: Close working relationships with hardware engineers, AI specialists, and other software developers.
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Agile & Iterative: Frequent communication, quick feedback loops, and adaptability to changing requirements or prototype findings.
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Knowledge Sharing: Encouraging the sharing of insights, best practices, and lessons learned within the team to accelerate collective progress.
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Direct Communication: Open dialogue to resolve issues efficiently and ensure alignment across different technical domains.
π Enhancement Note: The team culture is likely to be a dynamic blend of high-tech innovation and disciplined execution, reflecting Thales's wider mission. Candidates should be comfortable with fast-paced development, direct feedback, and a collaborative, problem-solving environment.
β‘ Challenges & Growth Opportunities
Challenges:
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Integrating AI in Embedded Systems: Implementing and optimizing AI models or algorithms within resource-constrained embedded environments, ensuring real-time performance and reliability.
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Rapid Prototyping Dynamics: Managing fast iteration cycles, adapting to evolving hardware capabilities, and quickly learning from prototype testing and hardware feedback.
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System Complexity: Developing and maintaining control and application layers for sophisticated sensor demonstrators that integrate multiple hardware and software components.
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Cross-functional Dependencies: Navigating dependencies and ensuring seamless integration with hardware development and other software modules.
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Travel Requirements: Adapting to occasional travel for integration and measurement campaigns, which may involve non-standard working hours or locations.
Learning & Development Opportunities:
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Advanced C++ & Embedded Linux: Deepen expertise in cutting-edge C++ features and advanced Linux system programming for embedded applications.
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AI/ML for Embedded: Gain practical experience in applying AI and machine learning techniques to real-world sensor systems and embedded hardware.
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Sensor System Architectures: Develop a comprehensive understanding of complex sensor systems, their operational principles, and integration challenges.
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Prototyping Methodologies: Master rapid prototyping techniques and agile development practices in a high-tech R&D setting.
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Industry Conferences & Training: Access to internal and external training, workshops, and potentially industry conferences relevant to embedded systems, AI, and defense technology.
π Enhancement Note: The challenges presented are directly tied to the role's unique focus on AI and rapid prototyping within a demanding industry. These challenges also represent significant growth opportunities for engineers looking to expand their skillset in highly sought-after areas.
π‘ Interview Preparation
Strategy Questions:
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"Describe a complex embedded system you've architected or significantly contributed to. What were the key design decisions, and how did you ensure its operability and testability?"
- Preparation: Focus on your portfolio projects. Detail the system's components, your role, the architectural patterns used, your approach to defining interfaces, and how you implemented management of modes, resources, and configurations. Emphasize your method for making the system observable and testable.
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"How would you approach integrating an AI model into a real-time embedded system, considering resource constraints and performance requirements?"
- Preparation: Discuss your understanding of AI model optimization (e.g., quantization, pruning), efficient inference engines for embedded platforms, and strategies for managing computational load and memory. If you have experience, use it as an example. If not, outline a logical, step-by-step approach.
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"Walk me through a challenging bug you encountered in a multithreaded C++ application on Linux. How did you diagnose and resolve it?"
- Preparation: Select a specific, complex bug. Detail the symptoms, your diagnostic process (e.g., using GDB, Valgrind, logging), the root cause (e.g., race condition, deadlock, memory corruption), and the solution. This demonstrates your debugging skills and understanding of concurrency issues.
Company & Culture Questions:
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"What interests you most about Thales and this specific role in AI & Rapid Prototyping?"
- Preparation: Research Thales's mission, recent projects, and their investment in AI. Connect your skills and career interests to the company's strategic focus and the specifics of this role (e.g., working with cutting-edge sensor technology, rapid iteration).
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"How do you thrive in a fast-paced, iterative prototyping environment? Describe your approach to learning from hardware feedback."
- Preparation: Emphasize your pragmatic, hands-on mindset, your comfort with ambiguity, and your ability to adapt quickly. Provide examples of how you've iterated on designs based on testing or hardware limitations.
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"How do you ensure quality and precision in your work, especially when dealing with rapid development cycles?"
- Preparation: Discuss your approach to automated testing, code reviews, interface definition, and verification processes. Explain how you balance speed with the need for robust, reliable software in critical applications.
Portfolio Presentation Strategy:
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Structure: For each project, follow a story arc: Problem/Objective -> Your Solution/Design -> Implementation Details (key tech) -> Challenges & Iterations -> Outcome/Results (quantified if possible).
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Technical Deep Dive: Be ready to dive into specific code snippets, architectural diagrams, or test cases. Explain why you made certain choices.
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Focus on Process: Highlight your thought process, your debugging techniques, and how you adapted to feedback. Show your understanding of the development lifecycle.
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Connect to Role: Explicitly map your portfolio contributions to the requirements of the Embedded Software Engineer role at Thales.
π Enhancement Note: Interview preparation should focus on demonstrating not just technical knowledge, but also your problem-solving approach, your ability to communicate complex ideas clearly, and your fit within Thales's innovative yet disciplined culture.
π Application Steps
To apply for this operations position:
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Submit your application through the provided Workday link: https://thales.wd3.myworkdayjobs.com/Careers/job/DITZINGEN-SRA-OME/Embedded-Software-Engineer--m-f-d--AI---Rapid-Prototyping_R0332238
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Portfolio Customization: Select 2-3 key projects that best showcase your C++, Linux, software architecture, and rapid prototyping skills. Prepare to articulate your design choices, the iterative process, and the impact of your work, tailoring the narrative to Thales's focus on AI and sensor systems.
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Resume Optimization: Ensure your resume clearly highlights your proficiency in modern C++, Linux, multithreading, IPC, network programming, and experience with CI/CD, Python, and ideally, containerization or embedded systems. Quantify achievements and responsibilities where possible.
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Interview Preparation: Practice answering technical questions related to C++, Linux, multithreading, and system design. Prepare to discuss your portfolio in detail and articulate how your skills align with the role's requirements, particularly in AI and rapid prototyping.
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Company Research: Thoroughly research Thales, its mission in defense and security, and its commitment to R&D in areas like AI. Understand the context of the Ditzingen site and the importance of sensor technology in their portfolio.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Requires a technical degree in computer science or electrical engineering with strong proficiency in modern C++ on Linux and Python scripting. Experience with CI/CD toolchains, Docker, and embedded or sensor systems is highly advantageous.