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Remote Linux Kernel Development Jobs in Fremont, CA

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

... remote. What you'll do: * Implement and refine DL pipelines on distributed computing platforms ... Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA)

Principal Graphics Engineer

Santa Clara, CA · Remote

$143K - $177K/yr

Android internals and custom AOSP development (kernel, HAL, SurfaceFlinger, System Services, GMS, Android Build System). * Android/Linux graphics stack (EGL, Gralloc, DRM/KMS, Mesa) and graphics ...

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Principal Graphics Engineer

San Francisco, CA · On-site +1

$164K - $203K/yr

Android internals and custom AOSP development (kernel, HAL, SurfaceFlinger, System Services, GMS, Android Build System). * Android/Linux graphics stack (EGL, Gralloc, DRM/KMS, Mesa) and graphics ...

Principal Graphics Engineer

San Francisco, CA · Remote

$143K - $177K/yr

Android internals and custom AOSP development (kernel, HAL, SurfaceFlinger, System Services, GMS, Android Build System). * Android/Linux graphics stack (EGL, Gralloc, DRM/KMS, Mesa) and graphics ...

Work with Linux systems (systemd, networking, tuning, kernel parameters). * Work with Asterisk in ... Remote work flexibility - work from anywhere. * B2B contract with competitive gross compensation in ...

Runtime Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

Design the custom-kernel ABI - calling convention, sync semantics, lifecycle - and the host-side ... Learning & Development $1,500 yearly towards your professional development e.g. conferences ...

Responsible for advanced Power Systems Application software development and successful delivery of ... LINUX and Windows Operating Systems. 5 years of experience with C, Java, Oracle Database, SQL ...

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Remote Linux Kernel Development information

See Fremont, CA salary details

$110.6K

$163.2K

$192.7K

How much do remote linux kernel development jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote linux kernel development in Fremont, CA is $163,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,400.00 and $180,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Linux Kernel Development vs Remote Linux System Administration?

AspectRemote Linux Kernel DevelopmentRemote Linux System Administration
Primary FocusDeveloping and modifying the Linux kernel codeManaging, configuring, and maintaining Linux systems
Required SkillsC programming, kernel architecture, debugging kernel issuesShell scripting, system setup, user management
Work EnvironmentCollaborative development teams, coding environmentsRemote support, system monitoring, troubleshooting
CertificationsLinux Foundation certifications, Linux kernel development coursesLinux Professional Institute (LPI), CompTIA Linux+

Remote Linux Kernel Development involves coding and improving the Linux kernel itself, requiring deep technical skills in C and kernel architecture. In contrast, Remote Linux System Administration focuses on maintaining and supporting Linux systems, emphasizing configuration, security, and troubleshooting. Both roles often operate in similar environments and may require Linux certifications, but their core responsibilities differ significantly.

What are popular job titles related to Remote Linux Kernel Development jobs in Fremont, CA? For Remote Linux Kernel Development jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Remote Linux Kernel Development jobs in Fremont, CA look for? The top searched job categories for Remote Linux Kernel Development jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Remote Linux Kernel Development jobs? Cities near Fremont, CA with the most Remote Linux Kernel Development job openings:

Senior Virtualization Validation Engineer

Crusoe

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
About the Role:
As a Virtualization Validation Engineer, you will be responsible for the end-to-end validation of large-scale, multi-node GPU clusters. You will focus on high-performance GPU Virtualization using QEMU and Cloud Hypervisor, ensuring that distributed workloads scale efficiently across multiple virtualized nodes. Your role is critical in validating the interconnect fabric and collective communication libraries (NCCL/RCCL) that power the world's most demanding AI and HPC applications.
San Francisco, Sunnyvale (Onsite)
What You'll Be Working On:
  • Multi-Node Scaling Validation: Design and execute large-scale validation tests across multi-node virtualized clusters to ensure linear scaling and stability of GPU workloads.
  • Interconnect & Fabric Testing: Validate high-speed interconnects-including NVLink, Infinity Fabric, InfiniBand, and RoCE-within virtualized environments to ensure low-latency, high-bandwidth communication.
  • Hypervisor & GPU Virtualization: Lead the validation of QEMU and Cloud Hypervisor with a focus on PCIe passthrough (VFIO), IOMMU, and direct device assignment for GPUs and high-speed NICs.
  • Collective Communication Benchmarking: Architect and run comprehensive test suites using nccl-tests and rccl-tests (e.g., AllReduce, AllGather) to verify performance across node boundaries.
  • Network Stack Validation: Validate SR-IOV and RDMA configurations to ensure that virtualized guests achieve near-bare-metal networking performance for distributed GPU tasks.
  • Automated Cluster Orchestration: Develop and maintain automation frameworks in Python or Go to dynamically provision, configure, and stress-test multi-node virtualized environments.
  • Performance Bottleneck Analysis: Perform deep-dive analysis of performance regressions in multi-node communication, identifying root causes across the guest OS, hypervisor, and physical fabric.

What You'll Bring to the Team:
  • Education & Experience: 5+ YOE demonstrated ability to competently and independently perform responsibilities plus Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
  • Virtualization Expertise: Proven experience with QEMU/KVM and Cloud Hypervisor in a production or research environment.
  • Distributed GPU Ecosystems: Deep familiarity with NVIDIA (CUDA/NCCL) and/or AMD (ROCm/RCCL) stacks in a multi-node context.
  • Networking Knowledge: Strong understanding of RDMA, RoCE, and InfiniBand protocols and their implementation in virtualized systems.
  • System Internals: Expert-level knowledge of Linux kernel internals, specifically PCIe topology, VFIO, and memory management (HugePages, IOMMU).
  • Automation & Scripting: Advanced proficiency in Python and/or Bash for automating complex cluster-wide test scenarios.

Bonus Points:
  • Experience with MNNVL (Multi-Node NVLink) or specialized AI fabric architectures.
  • Familiarity with hardware-level debugging tools and performance profilers (e.g., NVIDIA Nsight, AMD Omniperf).
  • Knowledge of containerized orchestration for GPUs (e.g., Kubernetes with specialized device plugins).

Benefits:
  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional perks & programs specific to location

Compensation:
Compensation will be paid in the range of $172,500 - $210,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.