Senior Technical Lead

About the company : At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together as one global team. We drive our progress and success together – everyone at Daimler Truck makes the difference. Together, we want to reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions. All essential, to fulfil our purpose - for all who keep the world moving.

Responsibilities:

• Develop cloud-based capabilities to remotely access, aggregate, and interpret vehicle diagnostic data for real-time health assessment
• Implement Apps and models to forecast failures, detect anomalies, and improve fleet maintenance planning
• Develop centralized software and configuration intelligence services supporting SDV diagnostics, version tracking, and software integrity validation
• Deliver integrated diagnostic workflows aligned with OTA processes, including automated pre-checks and post-update validation
• Enable continuous lifecycle monitoring of vehicle health, diagnostics, and software updates
• Develop cloud-hosted remote diagnostic client capabilities using standardized APIs (e.g., SOVD) for real-time data, fault, and log retrieval
• Deliver capabilities to initiate remote diagnostic sequences, trigger tests, and access ECU functions without physical vehicle interaction
• Enable automation across engineering, aftersales, and service workflows and develop scalable session management, authentication, and vehicle-state awareness for secure remote diagnostics operations
• Enable OEM service operations and fleet-wide remote diagnostics through secure, scalable, and high-performance cloud solutions
• Collaborate with cross-functional teams and drive AI strategy for diagnostics.

Qualifications: THAT’S WHY YOU ARE A MATCH

• Bachelor/Master's degree (B.E., B.Tech., M.Tech) in Computer Science, Information Technology, Electronics & Communication Engineering, or a similar discipline from a recognized institute.
• Minimum of 7 years of experience in Diagnostic Development & experience in cloud platforms (Azure/AWS/GCP) and microservices
• Hands-on experience in AI/ML and GenAI (LLMs, RAG, prompt engineering)
• Knowledge of data engineering (ETL, streaming, Kafka/Event Hub)
• Familiarity with vector databases and knowledge graph concepts
• Understanding of MLOps, CI/CD, APIs, and containerization (Docker/K8s)
• Strong automotive knowledge on Diagnostic and communication protocols (UDS, DoIP, SOVD, ODX/OTX)
• Experience with CAN/LIN/Ethernet and ECU diagnostics workflows
• Good understanding of cybersecurity and scalability in cloud systems