SeniorLinuxKernelEngineer (Memory Management & Device Drivers) | Contract | Almost Remote (Hybrid - San Jose, CA - Onsite once in a Month)
Posted Today by Anagha Techno Soft
Negotiable
Undetermined
Hybrid
Remote
Summary: The Senior Linux Kernel Engineer will focus on memory management and device drivers within the Systems Software team, primarily for AI and data center platforms. This contract role requires deep kernel development expertise and collaboration with hardware teams to enhance performance in SoC and storage solutions. The position is almost remote, with onsite requirements once a month in San Jose, CA. Local candidates in California are preferred for this role.
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.
Key Skills:
- 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.
Salary (Rate): undetermined
City: San Jose
Country: United States
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
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)
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.