(Senior) Embedded Systems Engineer (m/f/d) - Vehicle Mission

As a (Senior) Embedded Systems Engineer at MOIA, you'll be responsible for developing algorithms to control and monitor our autonomous vehicles, testing these algorithms through comprehensive unit and end-to-end tests, and collaborating with partners like Volkswagen Group on software interfaces. You'll also mentor your teammates, document systems according to safety standards, and contribute to creating a safe and engaging passenger experience.

To qualify for the (Senior) Embedded Systems Engineer role at MOIA, you should have a solid understanding of software architecture, along with proficiency in programming languages like C++ (C++11/14 or later) and familiarity with Python or TypeScript. Experience on the Linux platform, knowledge of Docker, and familiarity with automotive standards like ASPICE and ISO26262 are also highly beneficial. Additionally, analytical thinking and a DevOps mindset will help you excel in this position.

At MOIA, you'll find an inclusive and collaborative work environment that encourages autonomy and cross-functional teamwork. The Vehicle Mission team operates in an agile manner, allowing for bottom-up management where your voice and ideas can significantly impact the development cycle. The company embraces flexible working hours and provides opportunities for hybrid working arrangements that support your personal and professional needs.

Absolutely! MOIA is committed to your growth as a (Senior) Embedded Systems Engineer. You'll gain access to a learning environment with continuous learning days, job rotation opportunities, and trainings on the latest technologies in embedded systems. Moreover, mentoring peers not only enhances your skills but also promotes a culture of knowledge-sharing within the team.

The company culture at MOIA is vibrant, inclusive, and committed to diversity. As a (Senior) Embedded Systems Engineer, you'll be part of a team that values each individual's contributions and fosters a respectful and empowering workplace. MOIA supports work-life balance, mental health initiatives, and community-building activities that create an engaging atmosphere for all employees.

When approaching the development and testing of embedded algorithms, I prioritize a systematic methodology that encompasses design, implementation, and rigorous testing phases. I begin by gathering requirements, and then proceed to implement the algorithms using best practices in coding standards. I utilize unit tests to validate individual components and end-to-end testing to ensure the algorithms function harmoniously within the vehicle’s system. Documenting the process carefully is also crucial for safety compliance and future reference.

My experience with C++ stems from working on various embedded systems projects where I utilized it for real-time applications. I've implemented modular designs that leverage object-oriented principles to enhance code maintenance and scalability. Additionally, my familiarity with C++11/14 features allows me to utilize modern coding techniques to optimize performance, which is crucial in resource-constrained environments typical to embedded systems.

To ensure high reliability and quality in automotive software, I employ a combination of best practices from industry standards, such as ASPICE and ISO26262. This includes thorough documentation, regular code reviews, and utilizing automated testing tools for continuous integration. I also emphasize clear communication with stakeholders to align on specifications and ensure that all requirements are met throughout the development lifecycle.

In collaborating with external partners like Volkswagen Group, I prioritize transparency and effective communication. I establish clear protocols for sharing progress updates, addressing interface specifications, and troubleshooting issues jointly. My approach fosters a cooperative environment that enables us to align our objectives and ensure the seamless integration of our software solutions within their systems.

Mentorship plays a pivotal role in a senior engineering position as it allows for knowledge transfer and professional growth within the team. As a senior engineer, I see mentorship as an opportunity not only to guide less-experienced colleagues through technical challenges but also to foster a culture of continuous learning and innovation. Providing support to peers encourages collaboration and strengthens the team's overall capabilities.

Developing autonomous vehicle systems presents several challenges, especially concerning safety and reliability. Achieving a high level of trust in the algorithms and systems requires rigorous testing and compliance with industry standards. Additionally, understanding and implementing complex user authentication methods and maintaining robust data privacy will also be key challenges that we need to tackle head-on to ensure a positive passenger experience.

I stay updated with the latest developments in embedded systems engineering by actively engaging in relevant online communities, attending workshops, and participating in conferences. I also regularly read industry publications and blogs that focus on advancements in technology and methodologies. This continuous learning mindset enables me to bring innovative solutions to my projects at MOIA.

To ensure seamless integration of embedded components within a vehicle, I follow a systematic approach that includes defining clear interfaces, extensive testing, and rigorous validation protocols. Working closely with hardware teams and utilizing simulation tools prepares the software for real-world environments. Additionally, early-stage prototyping allows us to identify potential compatibility issues, minimizing integration challenges later in the process.

In a hybrid work environment, I would approach my role with a mindset geared towards flexibility and accountability. I would ensure that I maintain clear communication with my team, prioritize collaborative tasks during in-office days, and utilize digital tools to stay connected while working remotely. Emphasizing effective time management would help me balance individual work with team collaboration. This adaptability is essential for maximizing productivity and team engagement.

One example of solving a complex engineering problem involved optimizing an embedded system's resource usage to enhance performance. By analyzing system bottlenecks, I identified areas for code refactoring and memory management improvements. Implementing these changes led to a significant increase in processing speed while reducing latency, ultimately enabling more efficient operations within the vehicle's system.