Mercedes-Benz Research & Development North America, Inc.
Jobs
Development Engineer, System Integration AD
Development Engineer, System Integration AD
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The Role
Integrate, verify, and document ADAS software packages on QNX and Linux automotive computing platforms. Flash ECUs, validate vehicle readiness, conduct test drives, and troubleshoot software and signal-level issues. Perform root-cause analysis across complex automotive communication chains using CANoe and Wireshark, develop process automation, and coordinate with global engineering teams on software releases and vehicle integration.
Summary Generated by Built In
At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology, to enhance the driving experience and reduce environmental impact.
The MBRDNA Autonomous Driving Team is looking for motivated and passionate and self-driven 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 as a seasoned individual contributor 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 independently with limited supervision. 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:
- Integrate software packages into the computing platforms (QNX, Linux).
- Have a clear understanding of the software architecture of our ADAS Stack.
- Debug issues especially on the communication between ADAS and rest of vehicle ECUs via signal chain analysis.
- Problems faced are complex and may require understanding of broader set of issues using prior experience and systematic analysis.
- You are expected to drive the root cause analysis across complex signal chain on bus level using CANoe, Wireshark, etc.
- Implementation of automation for triaging and analysis to improve day to day processes within the team.
- Collaboration with international development teams and other external and internal partners to increase working efficiency.
- Understand and familiarize with software release planning, release milestones and incorporate this into decisions.
Minimum Qualifications:
- Degree in Computer Science, Robotics, Physics, Electric or related fields
- 3+ years of relevant work experience
- Excellent skills in software development and programming (C++, Python, bash,…)
- Experience with debugging and analysis tools like CANoe, Wireshark or others
- Experience in the development or validation of embedded systems in the automotive or consumer electronics industries
- Knowledge about ADAS/AD functions in scope for L2/L3 automated driving
- Experience with E/E integration and signal tracing as well as automotive communication protocols (CAN, FlexRay, Ethernet, MOST, …)
- Knowledge about build systems and compute platforms
- Ability to work in a dynamic environment with changing boundary conditions
- Good communication skills, ability to formulate thoughts and ideas precisely in verbal and written form
- Occasional international travel might be required
- Valid US driver’s license
Preferred Qualifications:
- Knowledge about vehicles in general or any specific field like sensors, ECUs, etc.
- 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: $107,400 - $134,300.
This position may involve access to export-controlled technology, hardware, or software under the Export Administration Regulations (EAR), 15 C.F.R. Parts 730-774 and possibly technical data, defense articles and defense services subject to the International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130. As such, Mercedes-Benz Research & Development North America may be required to obtain an export license or authorization in accordance with United States law.
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. MBRDNA was honored as one of the "Best Places to Work" by BuiltIn in January 2024, a testament to our commitment to creating an exceptional work environment. At each of our offices, we foster a culture of collaboration and continuous learning, ensuring every team member can thrive and innovate.
Benefits for Full-Time* Employees Include:
• Medical, dental, and vision insurance for employees and their families
• 401(k) with employer match
• Up to 15 company-paid holidays
• Paid time off (flexible time off for salaried employees), sick time, and parental leave
• Tuition assistance program
• Wellness/Fitness reimbursement programs
* 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.
PRIVACY NOTICE FOR CALIFORNIA RESIDENTS
https://mbrdna.com/california-employee-privacy-notice/
Skills Required
- Bachelor’s degree in Computer Science, Robotics, Physics, Electrical Engineering, or a related field
- 3 or more years of relevant work experience
- Strong software development and programming skills, including C++, Python, and Bash
- Experience with debugging and analysis tools such as CANoe and Wireshark
- Experience developing or validating embedded systems in automotive or consumer electronics industries
- Knowledge of ADAS or autonomous driving functions for L2 or L3 automated driving
- Experience with E/E integration, signal tracing, and automotive communication protocols including CAN, FlexRay, Ethernet, or MOST
- Knowledge of build systems and computing platforms
- Ability to work in a dynamic environment with changing conditions
- Strong verbal and written communication skills
- Valid US driver’s license
- Ability to travel internationally occasionally
- Knowledge of vehicles, sensors, or ECUs
- Excellent communication skills
- Curiosity, self-motivation, and enthusiasm for solving open-ended challenges
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The Company
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.
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