Embedded Software Engineer
EnCharge AI
Embedded Software Engineer
EnCharge AI
Analog in-memory AI hardware and software
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
Qualifications
EnchargeAI is an equal employment opportunity employer in the United States.
Analog in-memory AI hardware and software
EnCharge AI designs and sells AI-accelerating hardware and software for edge-to-cloud workloads, focusing on analog in-memory computing. Its products include chiplets, ASICs, PCIe cards, and flexible software that integrates across platforms. The approach uses semiconductor design to implement analog in-memory computing for fast AI processing with lower power and smaller footprint, compatible with existing systems. Compared with competitors, it prioritizes sustainability with lower CO2 emissions and total cost of ownership, backed by a leadership team with 20+ years in AI hardware and a track record of 350 million chips shipped, 150 patents, and 300 publications, and aims to democratize advanced AI by making it affordable and environmentally sustainable.
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