Software Engineer - Linux Kernel (C++, C)
xAI is hiring a Software Engineer - Linux Kernel (C++, C) in Palo Alto and Seattle, United States. It pays $180k-$440k a year and Level rates it ; you can apply on xAI.
Level's read on this job
- On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The listed pay starts 7% above the typical software engineer posting on Level.
- Tools and skills the posting cites include Linux, C and kernel development.
- Level classifies it as a senior role.
- Level lists 296 other open roles at xAI.
AI in this role
Build and maintain the Linux operating system and device drivers for high-performance AI supercomputers.
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.
At SpaceXSI, we design, build, and operate the largest AI supercomputers in the world, from the ground up. As a member of the Platform Core team, you will be responsible for the lowest layers of the software stack on the devices setting the pace for how fast we can push the frontier of AI. Our team’s software interfaces directly with the core hardware of the supercomputer and its network fabric. Our mission is to expose the full capability of that hardware — limited only by physics — to the rest of the stack, all while retaining the smallest, most robust footprint possible.
RESPONSIBILITIES:
- Build and maintain the lean, high-reliability Linux-based operating system that underpins our supercomputer network fabric.
- Write (or rewrite) high-performance device drivers to extract the maximum physical capability from our network and compute hardware.
- Manage deployment, operation, and debugging of our platform in production, including:
- Rigorous resolution and root-causing of anomalies to ensure the system is constantly improving in reliability.
- Developing and constantly improving our tools for observability and configuration management.
- Collaborate with our hardware teams and external partners to design the next generation of supercomputer hardware – and then bring up our OS and software stack on it.
BASIC QUALIFICATIONS:
- Hands-on systems programming experience in C or C++.
- Strong operating systems fundamentals (scheduling, memory management, I/O) — you must be able to articulate in extreme detail how a computer works, from the hardware all the way up to high-level applications.
- Understanding of computer networking, both in the host (OS stack) as well as common network devices like switches and routers.
- Excellent written and verbal communication skills.
PREFERRED SKILLS AND EXPERIENCE:
- Deep knowledge of the Linux kernel and its networking stack — transferable experience with another production-grade kernel is okay, too!
- Proficiency with debugging tools spanning kernel, network, and userspace (e.g., ftrace, perf, Wireshark/tcpdump, eBPF, gdb, and more).
- Experience bringing up new hardware from scratch — you have flashed bare-metal software on a microcontroller with JTAG, or bootstrapped a Linux kernel and rootfs on new hardware.
- Demonstrated track record of developing and optimizing device/peripheral drivers — ideally for high-speed interfaces, or with advanced considerations like DMA and cache coherency.
- Understanding of major peripheral hardware interface standards (Ethernet, PCIe, I2C, SPI, etc.) — you can critically review a schematic, and debug these interfaces if needed.
- Experience with product security, OS/system hardening, and secure boot schemes.
COMPENSATION AND BENEFITS:
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
How we rate this
Software Engineer - Linux Kernel (C++, C) at xAI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $180k
- Typical software engineer job
- $168k
This posting starts 7% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where kernel development was part of your work. What did you do?
- Tell me about a project where device drivers was part of your work. What did you do?
- Tell me about a project where systems programming was part of your work. What did you do?
- What's a project where you used Linux hands-on?
- Walk me through how you've used C in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Kernel Development, Device Drivers, Systems Programming, Linux, and C. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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