Automotive electronics and Industry 4.0 solutions for connected vehicles and smart manufacturing
in-tech builds embedded software and hardware solutions for vehicle electrification, autonomous driving, and factory automation. The stack reveals a company deep in hardware-software integration: ECU-Test and HiL (hardware-in-loop) testing sit alongside Python, Docker, Kubernetes, and cloud infrastructure (AWS, Azure, GCP), paired with ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Active hiring is concentrated in engineering (70% of roles), signaling a push to scale development capacity across prototype software upgrades, generative AI architecture, and control-unit rebuilds. Notably absent: any recent tool-migration activity, suggesting a stable, long-term engineering culture rather than continuous stack churn.
in-tech, founded in 2002 and headquartered in Garching, Germany, employs over 2,000 people across 9 locations in Germany, Austria, India, China, Czechia, Spain, and the United Kingdom. The company serves automotive OEMs and Tier-1 suppliers as a development partner across three domains: vehicle electronics (autonomous, electric, connected-car platforms), electrification infrastructure (e-mobility retrofit solutions and charging systems), and Industry 4.0 integration (machine-builder and plant-operator solutions). Revenue-generating work spans full product development lifecycle—concept through system integration to post-sale support. Internal challenges center on prototype software upgrade cycles, flash-process automation and compliance, measurement-system integration, and hardware-obsolescence management.
SAP S/4HANA for ERP; ECU-Test and HiL for embedded testing; AWS, Azure, GCP for cloud; Python, TensorFlow, PyTorch, and LangChain for ML; Docker and Kubernetes for deployment; Jenkins, Git, and Bitbucket for CI/CD; Jira and Splunk for monitoring and issue tracking.
Germany, Austria, India, China, Czechia, Spain, and the United Kingdom. Headquarters is in Garching b. München, Germany.
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