Automotive Application Engineer
Axelera AIVisit Axelera AI website
European AI-semiconductor company building AI inference accelerators and software for embedded, edge, server, and data-center deployments.
Eindhoven, Netherlands
Funding history
About Axelera AI
Axelera AI develops purpose-built AI acceleration hardware and the Voyager SDK for computer-vision, generative-AI, and other inference workloads, emphasizing power- and thermally-constrained deployments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will turn market and customer requirements into evaluation criteria, benchmark automotive workloads, and identify gaps in the software stack. You will validate safety-related integrations, contribute to collaborative R&D projects, build demonstrators, and provide technical recommendations.
Requirements
- 4–8 years of embedded software or application engineering experience in automotive or automotive semiconductors.
- Embedded C and Python experience for tooling and test automation.
- Experience with real-time systems and safety-qualified development in an ASIL-B or ASIL-D context.
- Knowledge of ISO 26262 requirements, safety mechanisms, diagnostics and supporting evidence.
- Embedded target development, board bring-up, drivers, BSPs, cross-compilation, tracing, debugging, CI and MISRA experience.
- Experience with embedded Linux and exposure to QNX or AUTOSAR.
- Bench or HIL validation across the automotive temperature range.
- Clear technical writing.
- Fluent English.
- Ability to travel approximately 15%.
Responsibilities
- Translate market and customer requirements into testable evaluation criteria.
- Verify solution capabilities and maintain requirements-versus-capability reports.
- Define and run benchmarks for automotive use cases.
- Port, quantize and optimize automotive workloads.
- Build reproducible benchmark suites and competitive comparisons.
- Maintain benchmark automation, regression tracking and dashboards.
- Prototype integration into automotive operating systems and middleware.
- Contribute to ASIL-B and ASIL-D software-stack validation.
- Assess OEM and Tier-1 integration effort and prioritize findings.
- Own technical work packages, deliverables, milestones and demonstrators in collaborative R&D programs.
- Track automotive AI and ADAS trends and recommend product and engineering priorities.
Benefits
- Pension plan.
- Employee insurances.
- Option to receive company shares.
- Structured ramp-up with direct R&D support.