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 seeking a highly skilled Device Driver Engineer to design and implement high-performance driver stack for our cutting-edge AI accelerator hardware. In this role you will work closely with hardware firmware and AI software teams to develop low-latency high-bandwidth communication between the host system and AI accelerator. Responsibilities Develop optimize and maintain Linux/Windows PCIe device drivers for AI accelerators. Implement low-level hardware interactions DMA memory management and interrupt handling. Work on driver optimizations to reduce latency and improve throughput for AI workloads. Debug and troubleshoot PCIe protocol kernel panics crashes and performance bottlenecks. Collaborate with hardware firmware and AI software teams to define driver interfaces. Ensure compliance with PCIe standards (Gen4/Gen5) SR-IOV BAR memory mapping and IOMMU. Support virtualization (VFIO SR-IOV DPUs) and containerized environments (Kubernetes Docker etc.). Develop tools for profiling debugging and monitoring driver performance. Contribute to open-source kernel modules if applicable. Qualifications Bachelor’s or Master’s degree in Computer Science Electrical Engineering or a related field. 3+ years of experience in device driver development for Linux and/or Windows. Strong experience with PCIe-based hardware including BAR regions DMA interrupts and MMIO. Proficiency in C/C++ and kernel-mode programming (Linux Kernel Windows WDDM/WDF/MCDM). Experience with AI-specific accelerators (e.g. GPUs NPUs TPUs) is a plus. Knowledge of low-level debugging tools (gdb perf ftrace dmesg PCIe analyzers). Understanding of multi-threading synchronization and memory management in kernel space. Familiarity with high-performance AI/ML workloads is a plus. Experience in hypervisor interactions VFIO and passthrough solutions. Knowledge of secure boot firmware updates and trusted execution environments (TEE). EnchargeAI is an equal employment opportunity employer in the United States.