Software Architect, ADAS/AD

SW Architect

Lead and oversee the development of software systems with clear architecture design towards industrialization. This role will derive the design and the integration of different software systems from embedded to AI stack. This role focuses on creating scalable, modular, and compliant software architectures targeted for advanced driver-assistance systems (ADAS), autonomous driving (AD).

Responsibilities:

• Collaborate with hardware and system engineers to ensure seamless integration between hardware and software components.
• Structure a clear architectural design for the complete software implementation for automotive use case
• Evaluate and select technologies suitable for automotive applications, such as communication protocols (e.g., FlexRay, CAN-FD), embedded platforms, and machine learning frameworks.
• Guide development teams in implementing automotive-grade software, ensuring high performance, safety, and reliability.
• Conduct design and code reviews to validate alignment with architectural goals and quality standards.
• Act as the primary point of contact for software architecture-related queries from OEMs and Tier-1 suppliers.
• Analyze system performance, optimize memory usage for automotive systems.
• Ensure systems are fault-tolerant and capable of handling high levels of real-time data processing.
• Create and maintain architecture diagrams, interface definitions, and detailed design documents.
• Present architectural decisions and technical trade-offs to stakeholders and team members.
• Contribute partially as a developer to help with the development.

Requirements:

• Proven experience (typically 8+ years) in software development and design, with a strong understanding of software engineering principles.
• Proven track record of working with automotive OEMs, Tier-1 suppliers, or related domains.
• Experience in designing scalable architectures for automotive sensors, ECUs, or connected vehicles.
• Prior experience in leading technical teams or designing large-scale applications.
• Expertise in programming languages (C, C++, Rust, Python)
• In-depth knowledge of software design patterns, principles, and architectural styles
• Experience in implementing and maintaining compliance with automotive standards like ISO 26262 (functional safety) and ISO/SAE 21434 (cybersecurity).
• Familiarity with automotive middleware such as AUTOSAR (Classic and Adaptive),
• Knowledge of functional safety concepts and tools (e.g., FMEA, FMEDA, fault tree analysis).