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SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. At SpaceXAI, 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 xAI, 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. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.