Automotive Application Engineer

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

About Us

Axelera AI is not your regular deep-tech company. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just five years, we have raised a total of $450 million and have built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations), both remotely from 20 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge?

Position Overview

Axelera AI is looking for a hands‑on Automotive Application Engineer to test and adapt Axelera's full‑stack edge‑AI solution — accelerator silicon and its software toolchain — against automotive market requirements. Working inside the Automotive team, you will turn market and customer requirements into testable criteria, then verify the solution against them: porting and quantising automotive AI workloads, characterising performance and power, benchmarking against competing platforms, and documenting the gap between what the stack does today and what automotive programs demand. You will also contribute to collaborative R&D programs and automotive consortia — owning technical work packages, building demonstrators, and feeding that work into the internal roadmap. Reporting to the Head of Automotive, you will work closely with the Principal Automotive Solution Architect, the software and AI R&D teams, Product Management and the Functional Safety Manager.

Key responsibilities

Solution Validation Against Market and Customer Requirements

• 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.

Benchmarking Against Automotive Use Cases

• 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.
• Maintain benchmark automation, regression tracking and dashboards.

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 prioritised 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 prioritised 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 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.

Highly Appreciated

• Exposure to deep‑learning frameworks (PyTorch, ONNX), model deployment on embedded targets, and quantisation/graph compilation concepts — or the appetite to learn quickly.
• Familiarity with computer‑vision/camera‑based automotive perception workloads.
• Experience in collaborative R&D projects (Horizon Europe, Chips JU, national programs).
• Deeper experience with AUTOSAR Adaptive, Android Automotive OS, SOME/IP, DDS, or sensor interfaces (MIPI CSI‑2, GMSL/FPD‑Link).
• Awareness of ISO 21434 and A‑SPICE; exposure to vehicle E/E architectures.
• An additional European language.

Experience with AI is valued but not a prerequisite — the role includes a structured ramp‑up with direct R&D support.

Location

• Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity.
• Work fully remotely from any European country (incl. the UK) you are already in.
• Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven).

Kindly note that priority will be given to candidates who are [interested in being] based in Belgium or Italy.

What Weoffer

This is your chance to shape and be part of a dynamic, fast‑growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.

An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.

At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.