Embedded SW Engineer

7 мес. назад

United StatesCanadaWorldwide

firmwarememory managementvirtualizationpciedevice drivers

Develop firmware for Edge AI processors focusing on SOC components and device driver integration.

is looking for an Embedded SW Engineer to develop the firmware for our Edge AI processors. The candidate must possess an excellent understanding of computer architecture and operating system concepts including, but not limited to, memory management, virtualization and PCIe address space. The role includes designing and developing the core Firmware for various parts of the SOC. The candidate must possess strong communication skills to interface with Runtime, Architecture and H/W teams. 
Develop the critical pieces of EAI Firmware used to deploy inference jobs on EAI processors
Validate different IP blocks on the SOC
Evaluate and integrate third-party device drivers to interface with EnCharge’s SW stack
Work closely with the Runtime, Hardware and Architecture teams define the driver architecture

Bachelors in EE/CS
Advanced programming skills in C/C++ for operating system kernel & systems development
Understanding of RISC-V architecture is a plus
Exposure to PCIe BAR and IOMMU architecture
Exposure to virtualization and hypervisor technologies
Deep understanding of operating systems concepts, data structures, x86-64 and accelerator architectures
Experience with low-level debug tools as well as emulators and simulators
Experience running, analyzing, and tuning system performance benchmarks
Excellent verbal and written communication skills 
EnchargeAI is an equal employment opportunity employer in the United States.

is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.