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About the Role

This role offers an opportunity to grow as a high-value software expert in safety-critical AI mobility systems, with exposure to the full development lifecycle from concept to SOP.

Responsibilities

• Design scalable and robust software architectures for ADAS ECUs.
• Optimize SoC/MPU resource allocation and manage integration components.
• Define AUTOSAR-based architectures (Classic & Adaptive) and optimize services.
• Integrate safety (ISO 26262) and cybersecurity (ISO 21434) mechanisms.
• Translate customer requirements into software specifications and module designs.
• Ensure ASPICE compliance and support CI/CD-based build and test environments.
• Collaborate with hardware and system teams to define interfaces and resolve dependencies.
• Conduct feasibility studies and technical risk assessments to maintain quality standards.

Requirements

• 7+ years of experience in automotive embedded software with hands-on ECU architecture design (preferably ADAS/domain controllers), including modular and layered architectures.
• Strong proficiency in Classic and/or Adaptive AUTOSAR, including MCAL, ECU abstraction, services, RTE, OS, and communication stack, with experience in configuration and integration.
• Experience in SoC/MPU-based resource optimization (CPU, memory, bandwidth, latency) and integration across software components, middleware, and drivers.
• Experience integrating safety (ISO 26262) and cybersecurity (ISO 21434) principles into system architecture.
• Familiarity with CI/CD pipelines and automated build/test environments for quality assurance and traceability.
• Strong collaboration with hardware/BSW teams to address HW–SW integration and low-level constraints.
• Proven ability in feasibility analysis, technical risk assessment, and trade-off decision-making across project lifecycle.

Skills

• AUTOSAR Classic
• AUTOSAR Adaptive
• MCAL
• ECU abstraction
• RTE
• OS
• Communication stack
• SoC/MPU resource optimization
• ISO 26262
• ISO 21434
• ASPICE
• CI/CD
• Embedded software
• ECU architecture design
• Software specifications
• Module designs
• Feasibility analysis
• Technical risk assessment

Experience Level

• 7+ years

About the Company

• The Industrial Autonomy & Engineering (IA&E) unit drives digital transformation by delivering AI-enabled, software-defined, and secure intelligent products that enhance customer experience and performance.
• We collaborate with Automotive OEMs and Tier-1 suppliers to advance Software-Defined Vehicles using AI, IoT, cloud, and cybersecurity technologies.
• A multi-program engagement with a leading global Tier-1 supplier for end-to-end AD/ADAS system development.
• The team collaborates across project management, system architecture, software development, AI integration, system integration, validation, safety, and security to deliver scalable, high-quality, and production-ready ADAS solutions.