СШАStaff Linux Kernel Engineer
3 нед. назад
СШАLeadOnsite
linux kernelc programmingkernel development
Lead technical direction and development of 's Linux kernel projects focused on AI infrastructure.
Обязанности
- You will set the technical direction for 's Linux kernel team, owning the roadmap and architecting critical development projects. This role requires a balance of high-level architectural design and hands-on kernel coding. You will tackle the most complex kernel problems while mentoring and growing the engineers around you to deliver production-ready infrastructure at scale.
Требования
- Deep knowledge of Linux kernel internals — memory management, scheduler, networking, storage subsystems and/or device drivers
- Strong C programming skills; fluency in kernel development workflow (patch submission, mailing lists, Lore)
- Experience evaluating kernel security vulnerabilities: CVE analysis, exploitability assessment, backporting fixes
- Demonstrated ability to set technical direction and drive projects end-to-end
- Track record of upstream Linux kernel contributions is a strong plus
- Deep knowledge of Linux kernel internals (memory management, scheduler, I/O) and virtualization technologies (KVM, Xen, or QEMU)
- 10+ years of experience in systems software engineering working on low-level systems or infrastructure teams.
Условия
- 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 will be paid in the range of up to $215,000 -$260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.
Другое
- 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 , 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 .
- Perform deep-dive root-cause analysis of issues across the OS and hardware layers. You will lead the triage and backporting for kernel CVEs while building automated tooling for vulnerability analysis.
- Architect and lead critical projects — new kernel features, security patching infrastructure, deployment systems — from design through production and upstream.
- Develop kernel code with an upstream-first mindset — we aim to contribute all changes to the Linux kernel community and keep our downstream patches zero; this is a core part of how the team works, not an afterthought
- Develop and review kernel code: memory management, scheduler, networking, storage, and GPU-related subsystems
- Design and implement advanced virtualization technologies tailored for GPU-accelerated AI and HPC workloads. You will optimize the stack for low latency and high scalability across hypervisors and device emulation.
- Find and develop kernel efficiency improvements proactively (e.g., DAMON-based memory management, hugepage optimization, memory overcommit)
- Mentor and review work from mid-level and junior engineers