Auburn Hills, MI, US
14 hours ago
Lead Software Architect (Ethernet / SOA)

Responsibilities include, but are not limited to:

Design the state-of-the-art Service Oriented STLA Brain Architecture, including an optimized ethernet based service design. Ensure the STLA Brain Software Architecture consistency: optimization, scalability and genericity of the defined software. Ensure the interoperability between the different stacks (RTOS, OSEK-Classic Autosar, Adaptive Autosar, Linux, …) developed or integrated within STLA Brain. Contribute to the architecture toolset set up definition and benchmarking of the state-of-the-art tools and methods for software architecture Contribute to the SW Safety and Cyber Security realization with the architecture concepts defined for STLA Brain. Regularly engage with key stakeholders to provide technical support and guidance for the architecture implementation and rollout Participate in meetings to identify Functions, Components in vehicle, Service provider, 3rd party for all Features. Provide multiple technical alternatives and present to the management the best System logical architecture. Meeting regularly with the deployment leads to ensure timely delivery of projects and attend Customer and Supplier weekly/daily meetings. Contribute to researching the latest tools and technologies with the goal to develop a completely new paradigm for data management in the vehicle. Collaborate with suppliers, partners, SW and HW engineers to rearchitect software into a more robust and run-time adaptable user experience, in order to meet the challenges of flexibility for the SW defined vehicle Responsibility for the design and documentation of the architectural concept and design implementation, providing project tracking and status reports to senior leadership, proactively resolving issues/conflicts within the system design team Responsibility for project milestones and quality, and ensuring that the architecture satisfies all business and system requirements

Basic Qualifications:

Bachelor's degree in Computer Science or related field A minimum of 10 years' experience in embedded software development in challenging roles developing complex software systems (Automotive background is not mandatory). Software Technical Leadership experience, driving complex software architecture definition and roll out Proficiency in C/C++ programming in a multi-process, multi-threaded development environment Experience in formal software architecture design and with modern software architecture development tools Experience with dynamic linking and loading of software and methods for effective software integration into multiple software execution contexts and domains. Experience managing common software resources, and software architecting for programming in a multi-process and shared resource environment Understanding of signal and service oriented interface design Experience with automotive communication protocols (Lin, CAN, Ethernet) Understanding of formal ASPICE, ISO26262 in relation to software development Experience working with AUTOSAR classic & adaptive software architecture design and analysis tools and methods Solid understanding of the microprocessor hardware devices and software implications (caches, buses, memory controllers, DMA, etc.) At ease in adapting to new technologies and new platforms and methods

 

Preferred Qualifications:

Understanding of the overall decomposition layers of the product (system, subsystem, software…etc.) Deep understanding of Functional Safety Software concepts Experience working with Linux-like software systems, as well as AUTOSAR software development Experience with architecting software for functional safety, including ASIL decomposition, program flow monitoring, effective utilization of multi-core software architecture Experience working with AUTOSAR Adaptive software architecture, and Service-Oriented software design Having a multi-domain development background which includes Linux, AUTOSAR, and Android Deep understanding of memory management and virtualization concepts Deep understanding of kernel level security concepts General knowledge of cloud technologies REST, MQQT, AMQP, TCP/UDP system Integrations for complex data flow management
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