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EnCharge AI

Embedded SW Engineer

Reposted 19 Hours Ago
Be an Early Applicant
Remote
28 Locations
Mid level
Remote
28 Locations
Mid level
Develop firmware for Edge AI processors, validate SOC IP blocks, integrate third-party drivers, and collaborate with hardware and architecture teams.
The summary above was generated by AI

EnCharge AI 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. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI 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. 

Responsibilities

  • 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 

Qualifications

  • 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.

Top Skills

C
C++
Hypervisor
Pcie
Risc-V
X86-64

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