Description
Embedded in a worldwide network Mercedes-Benz Research & Development North America continuously strives to remain at the forefront of successful automotive research and development. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation. In Farmington Hills, 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.
The MBRDNA Autonomous Driving Team is looking for motivated and passionate engineers who will help to integrate our ADAS software package into Mercedes-Benz vehicles. Our Team is working with global teams and partners to create SW Packages that can be rolled out to a large fleet of development vehicles all over the world. This Team is responsible for providing development and pre-production vehicles. Furthermore, we are supporting the pre-production vehicle phase until the products reach the end-customer.
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.
Relocation assistance (domestic or international) is not provided for this position.
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
- 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
The successful candidate’s starting pay will be determined based on a wide range of factors, including, but not limited to, job-related education, skills, and experience, geographic location, and market conditions. The current salary range for this position is as follows and may be modified in the future: $135,000 - $168,800.
Why should you apply?
Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. We have an open and flexible environment to allow you to push boundaries, join MBRDNA and design your future.
Benefits for Full-Time* Employees Include:
• Medical, dental, and vision insurance for employees and their families
• 401(k) with employer match
• Up to 18 company-paid holidays
• Paid time off (unlimited for salaried employees), sick time, and parental leave
• Tuition assistance program
• Wellness/Fitness reimbursement programs
• Vehicle lease subsidy or company car (for eligible employees only)
* Internships & Contractors excluded from Full-Time Employee benefits
MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.
Mercedes-Benz Research and Development North America, Inc.
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