CARIAD

Solutions Engineer

• Integrate production C++ software, embedded middleware, and AI inference components into CARIAD's autonomous-driving software stack
• Connect application software, inference runtimes, and embedded hardware to deliver reliable, real-time system behavior
• Independently own complex integration deliverables on platforms such as Qualcomm 8797 and NVIDIA DRIVE Thor
• Develop C++ adapters and glue code for data exchange, interface compatibility, component lifecycle, and runtime coordination
• Integrate and debug software across software and hardware boundaries
• Own integration issues from reproduction and root-cause analysis through corrective implementation and verified resolution
• Integrate AI models and inference runtimes into embedded applications
• Profile and resolve inference issues affecting correctness, latency, memory use, and runtime stability
• Collaborate with ML engineers to validate model behavior and runtime compatibility using QNN or TensorRT where applicable
• Develop and execute embedded integration testing on development kits, benches, and HIL systems
• Implement recompute workflows for bit-identical replay and investigate replay mismatches and regressions
• Automate regression testing and document functional, timing, and resource-use results
• Coordinate interface changes and dependencies with ML, embedded software, hardware, simulation, and vehicle engineering teams
• Participate in design and code reviews, provide technical guidance, and document interfaces, configurations, procedures, and validation evidence
• Improve integration tooling and share lessons learned to increase reliability, reproducibility, and development efficiency
• Prepare integrated software for deployment

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Senior Software Engineer, Integration