Your role is to develop, verify and document software packages to use them for V&V activities. This involves flashing ECUs, verifying vehicle readiness, and performing test drives. The role requires troubleshooting and debugging issues on software and signal level. We expect you to coordinate with the global team on a day-to-day basis and drive topics individually. You will get the chance to experience the next generation Mercedes-Benz ADAS Systems along its way to the customer.
Job Responsibilities:
- Perform hardware and firmware integration for the next generation prototypes and fleet vehicles on development PCs and ECUs.
- System debugging during integration and deployment of interfaces and connections (Ethernet, SW Interfaces, Sensor connections, …)
- Lead root cause analysis across complex signal chain.
- Lead signal level analysis on Bus Level using CANoe or other tools.
- Collaboration with international development teams and other external and internal partners to increase working efficiency.
- Develop technical understanding of signal architecture between ECUs.
- Develop technical understanding of SW Architecture within ADAS ECU.
- Participate in test drives to experience our product firsthand to understand current problems.
Minimum Qualifications:
- Degree in Computer Science, Automotive Engineering, Physics, Electric or related fields.
- 7+ years of relevant work experience.
- Experience in ADAS Development and knowledge about state-of-the-Art L2 and L2+ ADAS functions.
- Advanced coding skills in console application script languages (Python, bash, ansible, bazel, …).
- Advanced analytical problem-solving skills, ability to identify and surface issues within complex hardware/software systems.
- Experience with E/E integration and signal tracing as well as automotive communication protocols (CAN, FlexRay, Ethernet, …).
- Knowledge about ADAS sensors like Camera, Radar and Lidar.
- Experience with tools to debug automotive interfaces (e.g. Vector Tools, CANoe, …).
- Effective communication skills, ability to formulate thoughts and ideas precisely in verbal and written form.
- Ability to work in a dynamic environment with changing boundary conditions.
- International travel is required, especially to Germany.
- Ability to get in and out of sedan sized vehicles regularly.
- Ability to stand for long periods of time working at a vehicle or testing benches.
- Valid US Driver License.
Preferred Qualifications:
- Previous experience with automotive systems and debug tool
- Experience with international projects
- Excellent communication skills
- Curious, self-motivated, and excited about solving open-ended challenges at Mercedes-Benz
Skills Required
- Degree in Computer Science, Automotive Engineering, Physics, Electrical Engineering, or a related field
- 7+ years of relevant work experience
- Experience in ADAS development and knowledge of state-of-the-art L2 and L2+ ADAS functions
- Advanced coding skills in Python, Bash, Ansible, Bazel, or similar scripting technologies
- Advanced analytical and problem-solving skills for complex hardware and software systems
- Experience with E/E integration, signal tracing, and automotive communication protocols including CAN, FlexRay, and Ethernet
- Knowledge of ADAS sensors including cameras, radar, and lidar
- Experience with automotive interface debugging tools such as Vector Tools and CANoe
- Effective verbal and written communication skills
- Ability to work in a dynamic environment with changing conditions
- Ability to travel internationally, especially to Germany
- Ability to regularly enter and exit sedan-sized vehicles
- Ability to stand for long periods while working at vehicles or testing benches
- Valid United States driver's license
- Previous experience with automotive systems and debugging tools
- Experience with international projects
- Excellent communication skills
- Curiosity, self-motivation, and enthusiasm for solving open-ended challenges
What We Do
Mercedes-Benz Research & Development North America (MBRDNA) is continuously striving to innovate premium mobility. It is a place for exceptional people with outstanding ideas and the absolute willingness to bring them to life. We are not about cars only - we are also about the latest and greatest software, cutting-edge technology, and groundbreaking innovation: Embedded in a worldwide network MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Costumer Research, and Open Innovation. In Redford, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems. The Digital Hub in Seattle focusses on developing a cloud architecture and building out the cloud platform for the next generation of connected car services. The Testing and Regulatory Affairs Division in Ann Arbor and the Advanced Vehicle Design in Carlsbad complete the competence center.








