North American automotive R&D hub for ADAS, eDrive and connected-car software
MBRDNA is Mercedes-Benz's North American engineering arm, running a stack that pairs automotive embedded tooling (AUTOSAR, QNX, FlexRay, CANoe, Simulink) with cloud and ML infrastructure (Kubernetes, Databricks, SageMaker, Spark). Hiring is accelerating and senior-weighted, split between engineering and legal, with legal demand centered on export control and EAR classification as ADAS software ships across borders.
Mercedes-Benz Research & Development North America, founded in 1994 and headquartered in San Jose, California, is a privately held research and engineering organization with 501–1,000 employees. Its Silicon Valley base covers autonomous driving, interaction design, digital user experience, machine learning and consumer research. Redford, Michigan focuses on powertrain and eDrive, Long Beach tests driver-assistance and telematics durability, and Seattle builds cloud architecture for connected car services. Testing and regulatory affairs sit in Ann Arbor, with advanced vehicle design in Carlsbad.
MBRDNA uses embedded automotive tools like AUTOSAR, QNX, FlexRay, CANoe, Vector CANape, Simulink and MATLAB, alongside C++, Python, Go, Kubernetes, Docker, Databricks, SageMaker and Apache Spark.
Yes. Hiring is accelerating in the United States, focused on senior engineering roles for ADAS software integration and e-motor control, plus legal roles covering export compliance.
MBRDNA is headquartered in San Jose, California, with additional sites in Redford (Michigan), Long Beach, Seattle, Ann Arbor and Carlsbad.
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Mercedes-Benz Research & Development North America, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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