Software Engineer - Kernels/CUDA (C++)

ABOUT THE ROLE:

We are building one of the world’s largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack — from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization — to make training and inference at SpaceXAI as fast, reliable, and scalable as possible.

This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate Grok’s training speed and overall AI progress.

RESPONSIBILITIES:

Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads

Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and Nsight for maximum performance

Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operation

Collaborate closely with AI research teams to deliver production-grade performance and scalability

PREFERRED SKILLS AND EXPERIENCE:

Deep low-level systems programming (C/C++/PTX/SASS)

Strong experience with large-scale GPU clusters or distributed compute infrastructure at production scale

Hands-on work with GPU kernel optimization (CUTLASS, custom kernels, Nsight profiling)

Track record of building or running high-performance infrastructure for AI workloads (training or inference platforms)

Ability to reason from first principles and optimize for both memory-bound and compute-bound scenarios

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXAI, 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.