Mercedes-Benz Research & Development North America, Inc.
Sr. System Integration Engineer
Be an Early Applicant
Integrate, verify, debug, and document ADAS hardware and software packages for Mercedes-Benz prototype and fleet vehicles. Responsibilities include flashing ECUs, analyzing signals and interfaces, troubleshooting complex signal chains, performing root cause analysis, collaborating with international teams, and participating in vehicle test drives. The role requires advanced scripting, automotive communication protocol knowledge, ADAS sensor familiarity, and frequent hands-on vehicle and testing-bench work.
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 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.
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.
- 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
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: $130,000 - $162,500.
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/
Mercedes-Benz Research & Development North America, Inc. Sunnyvale, California, USA Office
309 N. Pastoria Ave, Sunnyvale, CA, United States, 94085
Similar Jobs
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Own end-to-end software integration across firmware, BSP, drivers, GPU software, services, and release systems. Lead system-level debugging of boot failures, crashes, resets, power transitions, performance regressions, and update issues. Analyze logs, traces, crash dumps, and hardware diagnostics to identify root causes, automate failure classification, integrate partner software, and coordinate cross-functional resolution across firmware, kernel, hardware, architecture, and OS teams.
Top Skills:
AcpiArmBspCC++Ci/CdDevice DriversDevice TreeFirmwareHypervisorKernelLinuxPythonSocUartWindows
Aerospace • Cloud • Software • Defense • Automation
Develop and integrate software command-and-control solutions for satellite vehicles. Integrate satellites and flight software into a mission management platform, decompose customer mission requirements, troubleshoot hardware-software interfaces, and support scalable product solutions. The role requires expertise in embedded software, satellite protocols, command and telemetry standards, encryption, cloud services, and version control, along with strong customer communication and independent problem-solving skills.
Top Skills:
Aes-256 CfbAes-256 EcbAes-256 GcmAws CloudwatchAws EbsAws Ec2Aws EcsAws EfsAws EksAws LambdaAws RdsAws S3C++CcsdsCfdpCspGitGitIpJavaMibNsa Type 1 CaribouNsa Type 1 PegasusOpen-Source SoftwarePythonReal-Time Embedded SoftwareSatellite Command And Control SystemsXtce
Artificial Intelligence • Hardware • Machine Learning • Natural Language Processing • Software • Generative AI
Integrate AI accelerator platforms into prototype and production rack-scale systems for customer datacenter deployment. Configure network, power, and compute equipment; develop scalable, manufacturable, and serviceable rack solutions; collaborate with architects, engineering, datacenter, sales, and marketing teams; and manage vendor partnerships. The role also supports rack design, networking, cooling, power systems, prototyping, and conversion to mass production.
Top Skills:
Ai AcceleratorsAir CoolingCopper NetworkingDatacenter InfrastructureFiber NetworkingLiquid CoolingNetwork SwitchesPower SystemsRack DesignRack Power SystemsRack WiringRack-Scale Systems
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
