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Lead Engineer, AI Infrastructure (C++, C)

xAI is hiring a Lead Engineer, AI Infrastructure (C++, C) in Palo Alto and Seattle, United States. It pays $220k-$357k a year and Level rates it ; you can apply on xAI.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • Level classifies it as a lead role.
  • Level lists 302 other open roles at xAI.
  • The role was posted in the last few days.

AI in this role

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.

LEAD ENGINEER, AI INFRASTRUCTURE (C++, C)

The Grok training program is looking for a lead software engineer on the AI infrastructure team. You will lead the team that architects, implements, and maintains the software infrastructure responsible for training grok models on hundreds of thousands or millions of GPUs.

The success of Grok depends on the quality of the software that you and your team produce, including reliability, fault tolerance, throughput, security, and developer experience. You are the engineer that other engineers count on; you are technical, you tackle every problem with enthusiasm; you remove hurdles. You are a self-starter and a team player. We are seeking a talented lead software engineer to join us in making our vision a reality.

RESPONSIBILITIES:

  • Develop reliable, performant, and maintainable software responsible for training Grok models in our world-class compute clusters
  • Provide technical direction for future training architectures and hardware designs
  • Work closely with other model engineers, kernel engineers, network engineers, hardware design engineers, platform engineers, and site ops engineers
  • Develop prototypes to prove out key design concepts and quantify technical constraints
  • Lead planning efforts for the team, working with key stakeholders in other teams and management to develop milestones and execute to them

BASIC QUALIFICATIONS:

  • Bachelor’s degree in computer science, engineering, math, or technical discipline
  • Hands-on systems programming experience in C or C++

PREFERRED SKILLS AND EXPERIENCE:

  • Developed, debugged, and and deployed software that has been used in real world applications/projects
  • 3+ years of software engineering experience OR 1+ years of C/C++ experience at SpaceX
  • Solid fundamental knowledge of NVL72 GB300 racks, computer architecture, networking, math, and physics
  • Strong skills in modelling, debugging, performance optimization, and unit testing
  • Creative approach to problem solving, exceptional analytical skills and engineering fundamentals

COMPENSATION AND BENEFITS:

$220,000 - $357,000 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

Lead Engineer, AI Infrastructure (C++, C) at xAI rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

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