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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
50,000-75,000 ₪
We are looking for a visionary Chief System Architect to lead the design and evolution of real-time AI infrastructures and cutting-edge vision-based systems at the edge.
This is a key executive role, reporting directly to the CEO, with broad ownership over system architecture and strategic technology development.
Responsibilities
Define and lead the architecture of our next-generation AI and real-time systems for edge deployment.
Build scalable, robust, and efficient infrastructures to support deep learning, vision, and perception models in real-world environments.
Oversee the integration of real-time computing frameworks, AI inference engines, and system-level services across heterogeneous hardware platforms.
Lead technical alignment across AI research, algorithm, hardware, and software teams to ensure seamless system design and execution.
Establish system-wide best practices for real-time performance, resource management, inter-process communication (IPC), scheduling, and fault tolerance.
Guide the selection and integration of industry-standard and proprietary real-time technologies (e.g., RTOS, ROS 2, Adaptive Autosar).
Evaluate and integrate new hardware accelerators (GPU, NPU, DSP) to optimize AI execution pipelines under strict real-time constraints.
Stay at the forefront of advancements in real-time AI, embedded vision technologies, and system design methodologies, and incorporate them into the company's technical strategy.
This is a key executive role, reporting directly to the CEO, with broad ownership over system architecture and strategic technology development.
Responsibilities
Define and lead the architecture of our next-generation AI and real-time systems for edge deployment.
Build scalable, robust, and efficient infrastructures to support deep learning, vision, and perception models in real-world environments.
Oversee the integration of real-time computing frameworks, AI inference engines, and system-level services across heterogeneous hardware platforms.
Lead technical alignment across AI research, algorithm, hardware, and software teams to ensure seamless system design and execution.
Establish system-wide best practices for real-time performance, resource management, inter-process communication (IPC), scheduling, and fault tolerance.
Guide the selection and integration of industry-standard and proprietary real-time technologies (e.g., RTOS, ROS 2, Adaptive Autosar).
Evaluate and integrate new hardware accelerators (GPU, NPU, DSP) to optimize AI execution pipelines under strict real-time constraints.
Stay at the forefront of advancements in real-time AI, embedded vision technologies, and system design methodologies, and incorporate them into the company's technical strategy.
Requirements:
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
10+ years of experience in system architecture, real-time systems, and AI/vision-based infrastructure.
Proven leadership experience driving complex system architecture in innovative technology companies.
Deep technical expertise in real-time operating systems (e.g., QNX, Linux RT, Zephyr) and real-time scheduling.
Strong background in designing AI runtime systems, including deployment of deep learning models on edge devices.
Proficiency in C/C++, system-level Python, and hardware-software optimization techniques.
Hands-on experience with edge computing architectures involving CPUs, GPUs, NPUs, and custom accelerators.
Familiarity with automotive-grade system design, including safety standards like ISO26262 an advantage.
Excellent communication, collaboration, and leadership skills, with a hands-on and strategic mindset.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
10+ years of experience in system architecture, real-time systems, and AI/vision-based infrastructure.
Proven leadership experience driving complex system architecture in innovative technology companies.
Deep technical expertise in real-time operating systems (e.g., QNX, Linux RT, Zephyr) and real-time scheduling.
Strong background in designing AI runtime systems, including deployment of deep learning models on edge devices.
Proficiency in C/C++, system-level Python, and hardware-software optimization techniques.
Hands-on experience with edge computing architectures involving CPUs, GPUs, NPUs, and custom accelerators.
Familiarity with automotive-grade system design, including safety standards like ISO26262 an advantage.
Excellent communication, collaboration, and leadership skills, with a hands-on and strategic mindset.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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