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 experience 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:PTOSick TimeAdditional Information:The current hourly rate for this position is as follows and may be modified in the future: $28 (Undergraduate Students)/$32 (Graduate Students).
#J-18808-Ljbffr
