Arbetsbeskrivning

At the company, they are developing next-generation technology to make urban traffic safer. 

We are now looking for an experienced and passionate SW Architect to join our team. In this role, you will 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). In this role, you will work closely with our engineering team, which includes both software and hardware specialists. You’ll be part of a collaborative and open-minded team where we tackle challenges together, and every idea and contribution counts. Role and responsibilities Collaborate with hardware and system engineers to ensure seamless integration between hardware and software components.

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.

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.

About you 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).

Familiarity with automotive middleware such as AUTOSAR (Classic and Adaptive).

Knowledge of functional safety like ISO 26262 (functional safety), ISO/SAE 21434 (cybersecurity) and tools (e.g., FMEA, FMEDA, fault tree analysis).