Embedded Software Engineer – Infotainment Performance (all gender)

As an Embedded Software Engineer – Infotainment Performance at ALTEN, your primary responsibilities will include developing and integrating diagnostic logging functions for infotainment systems, managing large volumes of diagnostic data, and implementing remote automotive diagnostics. You will also conduct system validation for telematics and connectivity, enhance predictive diagnostics, and collaborate with OEMs and suppliers to optimize the overall performance of infotainment systems.

To qualify for the Embedded Software Engineer – Infotainment Performance role at ALTEN, candidates should possess a degree in Computer Science, Electrical Engineering, Automotive Engineering, or a related field. Relevant experience with AUTOSAR DLT, Linux, C, C++, and diagnostic software frameworks is essential. Familiarity with system validation, CAN/LIN communication, and cloud-based diagnostics will significantly enhance your application.

You can contribute to the team as an Embedded Software Engineer at ALTEN by leveraging your analytical mindset and technical expertise to streamline processes in diagnostic logging and data analysis. Focusing on reusability and standardization will also allow you to make a significant impact. Your collaboration with diverse teams will be vital for enhancing infotainment performance, making this a highly rewarding role for team players.

ALTEN offers a variety of career development opportunities for Embedded Software Engineers, including talent management programs focused on professional growth and skill enhancement. Employees benefit from flexible working hours, mobile working options, and initiatives such as EGYM Wellpass for fitness, ensuring a balanced work life that promotes personal development alongside career advancement.

As an Embedded Software Engineer – Infotainment Performance at ALTEN, you can expect a comprehensive benefits package that includes 28 days of holiday, bike leasing programs, corporate benefits, and reduced travel rates for green mobility. The company is committed to fostering a healthy work-life balance and a positive workplace culture.

To effectively answer this question, focus on specific projects where you utilized diagnostic software frameworks, detailing the tools and methods you employed. Discuss any challenges you faced and how you overcame them, highlighting your problem-solving skills and understanding of AUTOSAR DLT.

In responding to this question, articulate your methodical approach to system validation, emphasizing the importance of thorough testing for connectivity and telematics. Discuss specific techniques you utilize to ensure system reliability and the criteria you consider when validating functionality.

When answering, provide a detailed example of a project where teamwork was essential. Highlight your specific contributions, the collaborative tools used, and the outcomes achieved in optimizing infotainment performance. This will showcase your ability to work well in a team environment.

Share specific strategies you use for managing and analyzing large data sets, including any tools or algorithms you've implemented. Discuss how you ensure efficient data processing while maintaining data integrity and accuracy in your analyses.

Explain your knowledge or handling of AI-driven predictive maintenance solutions. Provide examples of projects where you applied these technologies, focusing on the results achieved and how they improved vehicle health monitoring or system diagnostics.

Discuss the resources you rely on, such as technical journals, online forums, or professional networking groups, to stay current with industry trends. Mention any workshops or conferences you've attended that contributed to your knowledge of emerging technologies in automotive infotainment.

In your response, list the programming languages you are proficient in, such as C or C++, and any specific tools you have experience with in embedded software development. Highlight how these skills align with the requirements for the Embedded Software Engineer position.

This is an excellent opportunity to demonstrate your familiarity with cloud technologies. Detail any projects you've worked on involving cloud-based diagnostics, focusing on the architecture, data flow, and the advantages these solutions provided in system performance.

Share your preferred communication methods and tools, describing how they facilitate collaboration and enhance project outcomes. Provide examples of successful communication strategies you’ve implemented in past projects to illustrate your capabilities.

Explain your approach to prioritizing tasks based on urgency, impact, and deadlines. Share any tools or frameworks you use, and provide an example of a situation where effective prioritization led to a successful project outcome.