At Kandou, we are redefining the economics of AI infrastructure. Our mission is to democratise AI by significantly reducing the Total Cost of Ownership (TCO) of hardware systems — a critical barrier to scalable adoption.
Our proprietary MIMO-over-copper technology powers a high-performance, chiplet-based AI memory fabric that is both scalable and energy-efficient. Unlike traditional interconnects, our solution reduces power consumption significantly while preserving high bandwidth and ultra-low latency — unlocking unprecedented efficiency for AI training and inference at scale.
Kandou’s architecture is not just an incremental improvement — it’s a foundational shift in how AI hardware is built for the future.
We are seeking for a Linux Software Engineer based in Pune, India or remote/hybrid India.
Responsibility
To contribute in the area of software development to Kandou AI’s cutting edge products
Required Competencies - Experience
Proven experience with Linux kernel & device driver development.
Exposure to one or more advanced topics: P2P/dma-buf, RDMA, LVM, EDAC, SELinux
Bring up of Linux on a hardware platform with PCIe, I3C, SPI and JTAG interfaces
Systems development experience in storage, networking or accelerated computing
10+ years of Linux development experience for lead roles, 5+ year experience for developer roles
Required Competencies - Skills
Strong programming skills in C, C++, shell scripting
Embedded software development including bootloaders, debuggers, HW/SW integration
Defining interfaces with embedded software and with applications
Familiarity with x86 and ARM server CPU systems
Computer systems architecture including protocols such as CXL , PCIe NVMe and AXI
Development tools & practices: gcc/make, Github/Gitlab, CI/CD practices, SQA & test automation
Required Competencies - Education
4 year Bachelor of Tech/Engineering/equivalent in Electronics, Computer Engineering or Computer Science or related field or equivalent is required.
Master of Tech/Engineering/equivalent in Electronics, Computer Engineering or Computer Science or related field or ongoing education is preferred.
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