Why this role stands out
You can drive innovation in edge AI by developing cutting-edge firmware for advanced processors at a leading AI hardware and software company. This role is ideal for engineers with a strong grasp of computer architecture and operating systems who thrive on solving complex technical challenges and collaborating with cross-functional teams. Apply today to contribute to the future of AI accessibility!
Quick overview
Job description
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.
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