Senior Linux Kernel Engineer (Memory Management & Device Drivers) | Contract | Almost Remote (Hybrid - San Jose, CA - Onsite once in a Month)

Job Title: Senior Linux Kernel Engineer (Memory Management & Device Drivers)
Location: Almost Remote (Hybrid - San Jose, CA - Onsite once in a Month)

Local Candidates in California Only

Contract

Job Overview

We are seeking a highly skilled Senior Linux Kernel Engineer to join the Systems Software team, focusing on next-generation AI and data center platforms. This role involves deep kernel development, memory management innovation, and close collaboration with hardware teams to enable high-performance SoC and storage solutions.

Key Responsibilities

Design and optimize Linux kernel memory management (paging, allocation, HugePages, page cache, LRU).
Develop and maintain Linux device drivers for high-speed interfaces such as PCIe (Gen5/6), NVMe, and accelerator hardware.
Work on heterogeneous memory systems, including UVM, memory tiering, and CXL-based memory expansion.
Enable and optimize virtualization environments using KVM and QEMU (IOMMU, interrupt handling, memory virtualization).
Collaborate with hardware teams on SoC bring-up, register definitions, and memory architecture (ARMv9 / RISC-V).
Perform low-level debugging and performance tuning using kernel tracing tools, hardware debuggers (TRACE32), and emulation platforms.
Contribute to system-level architecture and resolve complex performance and memory-related issues.

Required Skills & Qualifications

Strong expertise in Linux Kernel Development, especially Memory Management (MM subsystem).
Hands-on experience with device driver development (PCIe, NVMe, or similar high-speed interfaces).
Deep understanding of low-level programming in C/C++ (Assembly is a strong plus).
Solid knowledge of hardware-software interaction, including DMA, cache coherency, and memory subsystems.
Experience with virtualization technologies (KVM, QEMU, IOMMU).
Strong debugging skills in complex, low-level environments.

Preferred Skills

Experience with CXL (Compute Express Link) or next-gen memory architectures.
Exposure to Python, gRPC, or REST APIs for tooling, automation, or integration.
Familiarity with ARM or RISC-V architectures.
Contributions to mainline Linux kernel or open-source projects.
Knowledge of AI/ML or data center workloads at the system level.

Education

MS/BS in Computer Science, Computer Engineering, or related field.

SeniorLinuxKernelEngineer (Memory Management & Device Drivers) | Contract | Almost Remote (Hybrid - San Jose, CA - Onsite once in a Month)

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