Software Intern

TensorWave•Las Vegas, NV

About The Position

As a Software Engineering Intern at TensorWave, you'll join a small, high-impact engineering team building the systems that power the future of AI compute. You'll work on real production challenges in a cutting-edge GPU cloud environment, gaining hands-on experience with bare-metal infrastructure, large-scale distributed systems, and AMD's ROCm ecosystem. This is an excellent opportunity for students passionate about cloud infrastructure, AI/ML systems, performance optimization, and contributing to tools that AI innovators use every day.

Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field (graduation expected 2026–2028)
Strong programming skills in JavaScript or Rust.
Familiarity with Linux systems, command-line tools, and scripting
Interest in cloud infrastructure, distributed systems, containers (Docker/Kubernetes), or HPC workload managers (Slurm)
Ability to work collaboratively in a fast-paced startup environment
Excellent problem-solving skills and attention to detail

Nice To Haves

Exposure to GPU programming, machine learning frameworks, ROCm, CUDA (concepts transfer), or cloud platforms
Curiosity about hardware-software co-design and performance optimization

Responsibilities

Collaborate with senior engineers on features for our cloud control plane, orchestration layer, user-facing APIs, or internal tooling
Work on automation, monitoring, and observability for GPU clusters (Slurm + Kubernetes-native environments)
Participate in debugging performance bottlenecks in high-throughput inference or distributed training pipelines
Write clean, well-tested code and participate in code reviews
Learn how bare-metal AI clouds operate at scale—from hardware partitioning to high-speed networking and storage