Automotive Edge AI Engineer (Remote Europe)

Axelera AI; Firenze; Remoto; EUR 70.000 - 110.000; Tempo pieno

Vantaggi offerti da questo lavoro

Pension plan

Extensive employee insurances

Company shares

Descrizione del lavoro

Axelera AI is seeking a hands-on Automotive Application Engineer to validate and adapt our full-stack edge-AI solution for automotive requirements. You will port and quantify workloads, benchmark ADAS and sensor fusion, and ensure integration with Linux, QNX, AUTOSAR Adaptive, or ROS 2.

You’ll collaborate with R&D, Product, and Safety teams to close gaps and drive roadmap decisions. Reporting to the Head of Automotive, you will own technical work packages, contribute to demonstrators, and

Competenze

• 4–8 years in embedded software or application engineering, in automotive or automotive semiconductors.
• Real‑time systems and safety‑qualified development in an ASIL‑B/ASIL‑D context (ISO 26262).
• 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 characterisation across the automotive temperature range.
• Structured, requirements‑to‑evidence mindset and clear technical writing.
• Fluent English; ~15% travel for consortium meetings and partner labs.

Mansioni

• Translate market and customer requirements into testable evaluation criteria, verify the Axelera stack against them, and maintain a current requirements-versus-capability view across releases, with internal evaluation reports for Automotive, Product and R&D.
• Define and run benchmarks around real automotive use cases (ADAS perception, surround view/parking, BEV/occupancy, DMS/OMS, sensor fusion), expressed in automotive terms (FPS per stream, latency, accuracy at the required operating point).
• Port, quantize and optimize automotive workloads onto Axelera, build reproducible benchmark suites under automotive‑realistic conditions, and run competitive comparisons — labeling every result by silicon revision, sample grade and SDK version.
• 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).
• 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.
• 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.
• Track automotive AI/ADAS trends and competitive benchmarks, and translate findings into prioritised recommendations for Product and Engineering.

Conoscenze

Embedded C

Python

Real-time systems

MISRA

Embedded Linux

Cross-compilation

CI

ISO 26262

Fluent English

Strumenti

QNX

AUTOSAR

GCC cross-compilation

Linux BSPs

Descrizione del lavoro

Axelera AI is seeking a hands-on Automotive Application Engineer to validate and adapt our full-stack edge-AI solution for automotive requirements. You will port and quantify workloads, benchmark ADAS and sensor fusion, and ensure integration with Linux, QNX, AUTOSAR Adaptive, or ROS 2.

You’ll collaborate with R&D, Product, and Safety teams to close gaps and drive roadmap decisions. Reporting to the Head of Automotive, you will own technical work packages, contribute to demonstrators, and