1 день назад
Embedded Linux OS Architect (Automotive AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Embedded Linux OS Architect (Automotive AI): Defining and implementing Linux-based software stacks for PCIe communication between EyeQ SoCs, enabling cross-chip neural networks with an accent on Linux kernel architecture, hardware/software co-development, and high-bandwidth systems. Focus on performance analysis, feasibility studies, optimization, and technical guidance for Linux kernel development engineers.
Location: Petah Tikva, Israel; hybrid workplace
Company
develops automotive AI technologies and software for intelligent vehicle applications.
What you will do
- Research and define software solutions based on the PCIe standard and Linux PCIe stack implementation.
- Design and implement software stacks enabling communication between EyeQ SoCs for cross-chip neural networks.
- Define future hardware solutions with the SoC Architecture team in a hardware/software co-development environment.
- Perform performance analysis, feasibility studies, proof-of-concepts, and optimization to maximize performance while minimizing resource usage.
- Collaborate with the Linux Kernel team and provide technical guidance and mentoring to development engineers.
Requirements
- Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.
- 7+ years of experience in Linux Kernel architecture, OS internals, and subsystems such as memory management, I/O, storage, and networking.
- Deep understanding of the PCIe standard, topologies, and applications.
- Strong understanding of hardware architecture and high-bandwidth applications.
- Strong experience with performance analysis and debugging techniques.
Nice to have
- Experience with MIPS and RISC-V hardware architectures and their operating-system implementations.
- Experience in user-space development.
Culture & Benefits
- Hybrid work arrangement in Petah Tikva, Israel.
- Collaboration with Linux OS architecture, software development, and SoC architecture teams.
- Opportunity to contribute to cutting-edge technology for automotive AI applications.
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