Automotive Application Engineer
Core
Test and adapt Axelera's full-stack edge-AI solution (silicon and software toolchain) against automotive market requirements, including porting, quantizing, and benchmarking AI workloads for ADAS and perception use cases.
Role type
Senior IC Automotive Application Engineer
Builds
Validated edge-AI stacks for automotive OEMs/Tier-1s, benchmark suites, and safety-qualified software components
Domain
Automotive semiconductors, embedded AI, functional safety (ISO 26262)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Embedded C, Python, real-time systems, ASIL-B/ASIL-D development, embedded Linux, QNX, AUTOSAR, HIL testing, requirements engineering
Preferred skills
Deep learning frameworks (PyTorch, ONNX), model quantization, computer vision workloads, AUTOSAR Adaptive, Android Automotive OS, SOME/IP, DDS, ISO 21434
Technologies
Axelera silicon, Linux, QNX, AUTOSAR, ROS 2, MISRA, CI/CD tools
Responsibilities
Translate market requirements into testable criteria and verify stack capabilities; define and run benchmarks for ADAS/perception use cases; prototype runtime integration into automotive environments; contribute to ASIL-B/ASIL-D safety stack development; own technical work packages in collaborative R&D consortia; track competitive trends and provide technical recommendations
Seniority
Mid-Senior, hands-on IC
