Device Driver Engineer

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.