Scan Tool Architect

Salvo Software-posted 4 months ago

11-50 employees

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We are seeking an experienced Automotive Scan Tool Architect to lead the design and development of advanced diagnostic scan tool software, with a focus on implementing an ODX/OTX runtime engine. This role requires deep technical expertise in automotive diagnostic protocols and software architecture, combined with a strategic mindset to deliver scalable and robust solutions for automotive diagnostics. The successful candidate will collaborate with cross-functional teams to architect cutting-edge scan tool solutions that meet industry standards.

Perform the design of a scalable and modular software architecture for automotive scan tools, with a specific focus on implementing an ODX (Open Diagnostic Data Exchange) and OTX (Open Test Sequence Exchange) runtime engine.
Ensure seamless integration of diagnostic software with automotive protocols (e.g., CAN, J1850, J1708, J1939, UDS, ISO 14229, ISO 15765) and hardware platforms.
Provide technical guidance to development teams, ensuring alignment with architectural vision, industry standards (e.g., ISO, SAE), and best practices.
Collaborate with managers and stakeholders to gather and analyze requirements, translating them into technical specifications.
Design and optimize software for performance, reliability, and scalability.
Create and maintain comprehensive architectural documentation, including design specifications, system diagrams, and integration guides.

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Automotive Engineering, or a related field.
Minimum of 5+ years of experience in software architecture or development, with at least 3+ years focused on automotive diagnostic systems.
Proven experience architecting and implementing ODX/OTX runtime engines for automotive scan tools or similar diagnostic software.
Hands-on experience with automotive communication protocols (e.g., CAN, J1850, J1708, J1939, UDS, ISO 14229, ISO 15765).
Deep understanding of ODX and OTX standards, XML-based data structures, and diagnostic workflows.
Proficiency in programming languages such as Java or Kotlin.
Knowledge of software development methodologies (e.g., Agile, DevOps) and version control systems (e.g., Git).

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