Software Engineering Intern

Automated software deployments and over-the-air updates are at the backbone of fast and secure development of tomorrow’s ADAS and autonomous driving systems. As a leader in these fields, Mercedes-Benz is at the forefront of new developments in this area. Members of the software update team develop algorithms optimized for speed and space. This internship offers a unique opportunity to gain hands-on experience in a cutting-edge field within the automotive industry, working with a team of experts dedicated to advancing vehicle technology.

We are seeking a highly motivated and enthusiastic Masters or PhD Intern to join us on the OTA, Software Integration team. This is a 4-6 month internship opportunity in Sunnyvale, CA, and requires you to be available for in-person work, 40 hours per week.

Job Responsibilities:

• Assist in the development of next-generation software update solutions for Mercedes-Benz vehicles.
• Collaborate with senior engineers to design, implement, and test software deployment strategies.
• Contribute to the continuous improvement of the OTA update process, ensuring reliability and efficiency.
• Analyze the performance characteristics of our software solutions, identifying areas for improvement and optimization.
• Conduct performance benchmarking and provide detailed analysis reports.
• Generate runtime logs and comprehensive reports to document the performance and behavior of software updates.
• Utilize logging tools and techniques to ensure accurate and thorough data collection.
• Prepare clear and concise reports to communicate findings to the development team

Minimum Qualifications:

• Currently pursuing a Master’s or PhD in Computer Science, Software Engineering, Electrical Engineering, or a related field.
• 2 years of experienced required.
• Experience with D (DLang), C++, or Python programming languages.
• Experience with the Linux operating system.
• Experience with version control systems like Git.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work effectively in a team environment and independently.
• Passion for automotive technology and autonomous driving systems.

Preferred Qualifications:

• Experience with the QNX operating system.
• Experience with Docker.
• Experience with scripting languages.
• Familiarity with virtual machines (QEMU, etc.).
• Previous internship or project experience in the automotive industry or related fields.
• Understanding of network protocols and cybersecurity principles.

Benefits/Perks:

• PTO

• Sick Time

Additional Information:

The current hourly rate for this position is as follows and may be modified in the future: $28 (Undergraduate Students)/$32 (Graduate Students)