Automotive Application Engineer

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.

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.

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%.

Benefits

• Pension plan.
• Employee insurances.
• Option to receive company shares.
• Structured ramp-up with direct R&D support.