Automotive Application Engineer

Job Description

Automotive Adaptation of the Full Stack

• Identify and close gaps between the current stack and automotive expectations (toolchain, runtime, OS/middleware integration, determinism, diagnostics), and prototype runtime integration into automotive environments (Linux/QNX, AUTOSAR Adaptive, Android Automotive OS, ROS 2).
• Feed automotive-specific requirements and thermal/duty-cycle profiles into SDK/product roadmaps and functional safety work.
  

Safety-Qualified Software Stack (ASIL-B / ASIL-D)

• Contribute hands-on to the ASIL-B/ASIL-D software stack (safety runtime, diagnostics, monitoring) alongside R&D and the Functional Safety Manager, verifying it against realistic customer integration scenarios.
• Assess integration effort for a Tier-1/OEM and feed gaps back as prioritized findings.
  

Collaborative R&D Programs and Consortia

• Own or co-own technical work packages in collaborative R&D projects and automotive/edge-AI consortia — deliverables, milestones, demonstrators — coordinating with OEM/Tier-1/research partners and keeping the work aligned with the internal roadmap.
  

Market and Technical Intelligence

• Track automotive AI/ADAS trends and competitive benchmarks, and translate findings into prioritized recommendations for Product and Engineering.
  

Qualifications:

Required

• 4–8 years in embedded software or application engineering, in automotive or automotive semiconductors, with strong embedded C and Python for tooling/test automation.
• Real-time systems and safety-qualified development in an ASIL-B/ASIL-D context (ISO 26262 requirements, safety mechanisms, diagnostics, supporting evidence).
• Embedded development on constrained targets (board bring-up, drivers, BSPs) using standard automotive toolchains (cross-compilation, trace/debug, CI, MISRA), on embedded Linux with exposure to QNX or AUTOSAR.
• Validation on target hardware: bench/HIL testing and characterization across the automotive temperature range.
• Structured, requirements-to-evidence mindset and clear technical writing.

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