Job Description

Job Description

Job Description

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 integrate, verify and document software packages. In this role, you will be the key technical bridge between core platform software, vehicle application layers, and autonomous driving function. You will drive systematic triaging, deep-dive root cause analysis (RCA), and bug resolution for complex runtime, and signal-chain issues across ADAS SW. 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:

• Have a clear understanding of the software architecture of our ADAS Stack.
• Analyze cross-layer interactions spanning Mercedes Base software (BSW) and functional stack. Adaptive AUTOSAR experience is a plus
• Lead end-to-end triage and root cause analysis for system-level failures, crashes, timing delays, stale socket behaviors, and function degradations occurring on bench and vehicle platforms
• 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 a broader set of issues using prior experience and systematic analysis.
• Perform deep-dive trace investigations using logs, packet captures, QNX kernel/process logs, and vehicle bus to map signal propagation and pinpoint regression origins.
• Implementation of automation for triaging and analysis to improve day to day processes within the team.
• Maintain structured triage artifacts in Jira and Confluence, track issue resolution cycles, establish reproducible test steps, and define actionable handovers for component developers.
• 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,…)
• Solid understanding of ECU Base Software architectures, Hands-on experience with Adaptive
• AUTOSAR stacks, expertise in log parsing and analysis
• 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)
• Proficiency with diagnostic and tracing tools: DLT Viewer, Wireshark / SOME/IP analyzers, Vector CANoe / CANalyzer, QNX System Architecture & process profiling tools.
• 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 driver’s license required 

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

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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