Software Architectural Expert

As a System Architect, you will be responsible for defining the software architecture of the product. This includes designing and implementing software components and modules for automotive SoC platforms.

Key Responsibilities:

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• Define the software architecture of the product and ensure it meets safety and security standards relevant to automotive systems.\
• Collaborate with cross-functional teams to align software architecture with hardware design and automotive standards.\
• Lead the design and development of software components and modules for automotive SoC platforms.\
• Implement software solutions in compliance with industry standards such as ISO 26262.\
• Optimize software performance for real-time constraints and resource efficiency.\
• Conduct performance analysis and propose enhancements to meet automotive industry standards.\
• Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.\
• Contribute to design reviews across algorithm teams.\
• Consider next-generation algorithms and new business opportunities.\
• Develop algorithms with a view to implementing on embedded DSP platforms.\
• Represent the company at various Industry Working Groups and at Conferences where directed.\
• Support the design and implementation of in-company training sessions in your area of expertise.\
• Develop and maintain relationships with university counterparts.\
• Strive to improve competencies in the field of automotive vision-based ADAS, computer vision, and C++ in particular.\
• Identify inefficiencies and suggest/implement improvements within the current processes used in algorithm and development.\
• Perform state-of-the-art research into deep learning & computer vision approaches and methodologies.\
• Creation of initial high-level module and sub-module architecture at project kick-off as well as pre-dev projects.\
• Provide expertise to algorithm and embedded leads in the design of all CV/DL functions.\
• Research, develop, benchmark, test, and document state-of-the-art computer vision and image processing algorithms for autonomous driving applications within your assigned project team.\
• Perform research into new vision technology, ideas, and approaches.\
• Ensure the software architecture meets safety and security standards relevant to automotive systems.\
• Collaborate with safety engineers to conduct risk assessments and develop safety-critical software components.\

Required Skills and Qualifications:

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• Strong C, C++ programming skills or strong rapid prototyping skills in Enterprise Architect for Modeling, Experience in Doors.\
• Good understanding of fundamental computer vision algorithms and approaches.\
• Excellent English language communication skills, both written and verbal.\
• High level of innovation and motivation.\
• Excellent research experience.\
• Experience with automotive software standards such as AUTOSAR, ISO 26262, and familiarity with communication protocols like CAN, Ethernet.\
• Experience in QNX/Safertos, freeRTOS.\

Benefits:

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• Opportunity to work on cutting-edge projects in the field of automotive vision-based ADAS and computer vision.\
• Chance to collaborate with cross-functional teams and contribute to the design and development of software components and modules.\
• Professional growth and development through in-company training sessions and mentorship.\
• Competitive compensation and benefits package.\

Others:

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• Secure the product robustness, apply standards.\
• Enforce standards Engineering discipline solutions.\
• Manage the link with other Engineering disciplines/calling for hierarchical support if needed.\
• Capitalization of the know-how (Standardization, Specifications, technical reports, processes, and guidelines).\
• Provides inputs and requirements to the Engineering discipline for the development.\
• Interface with customer for Engineering discipline architecture content.\
• Contribute to refine the functions into the right sub-systems (system - mechanical - software - hardware …).\
• Translate system requirements in Engineering disciplines requirements.\
• In collaboration with the different competences (Engineering disciplines) define the functions into the right sub-systems (software).\
• Ensure the inter-operability of all sub-systems.