Year-round

Software Intern

Posted on 2/16/2026

TensorWave

TensorWave

51-200 employees

Scalable AI cloud computing for PyTorch

No salary listed

Las Vegas, NV, USA

In Person

Category
Software Engineering (1)
Required Skills
Kubernetes
Rust
JavaScript
CUDA
Machine Learning
Docker
Linux/Unix
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)
  • Bonus: Exposure to GPU programming, machine learning frameworks, ROCm, CUDA (concepts transfer), or cloud platforms
  • Curiosity about hardware-software co-design and performance optimization
  • Ability to work collaboratively in a fast-paced startup environment
  • Excellent problem-solving skills and attention to detail
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
Desired Qualifications
  • Bonus: Exposure to GPU programming, machine learning frameworks, ROCm, CUDA (concepts transfer), or cloud platforms

TensorWave provides cloud-based AI computing resources for large-scale workloads, with a focus on PyTorch. It runs on AMD MI300X hardware with a scalable fabric, offering pools of VRAM exceeding 1 petabyte accessible via subscription or pay-as-you-go. It differentiates itself by using AMD-based hardware and a large VRAM pool to offer cost-efficient, scalable compute without customers owning hardware. The goal is to become a leading provider of scalable, high-performance AI cloud infrastructure that enables enterprises and research institutions to train, fine-tune, and deploy large models at predictable, competitive costs.

Company Size

51-200

Company Stage

Series A

Total Funding

$143M

Headquarters

Las Vegas, Nevada

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • TensorWave announced a $100 million Series A in May 2025.
  • It is building an 8,192-GPU cluster and Tucson campus.
  • Long-term capacity contracts improve revenue visibility and lender confidence.

What critics are saying

  • AMD supply or performance issues directly constrain TensorWave's only platform.
  • Single-site cluster concentration exposes capacity to power, cooling, and permitting failures.
  • Price competition from hyperscalers and NVIDIA clouds can compress margins quickly.

What makes TensorWave unique

  • AMD-exclusive cloud built around Instinct MI300X and MI325X GPUs.
  • Focuses on memory-rich infrastructure for large PyTorch and inference workloads.
  • Positions itself on lower cost per token versus NVIDIA-centric alternatives.

Help us improve and share your feedback! Did you find this helpful?

Your Connections

People at TensorWave who can refer or advise you

Benefits

Stock Options

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Flexible Work Hours

Remote Work Options

Paid Vacation

Paid Sick Leave

Paid Holidays

Sabbatical Leave

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Parental Leave

Mental Health Support

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

3%

2 year growth

13%
Business Wire
Feb 25th, 2026
TensorWave deploys Credo's ZeroFlap cables and optics for AMD-based AI clusters

TensorWave, an AMD-exclusive AI cloud provider, has partnered with Credo Technology to deploy Credo's ZeroFlap Active Electrical Cables and optical transceivers across its next-generation AI cluster infrastructure. The collaboration aims to deliver faster deployment times and higher cluster reliability for AI workloads. Credo's ZeroFlap technology offers 100 million hours mean time between failures and claims reliability 1,000 times better than legacy interconnect solutions. The system integrates with Credo's PILOT telemetry platform for real-time monitoring and fault isolation. TensorWave, which has raised over $166 million from investors including Magnetar, AMD Ventures and Nexus Venture Partners, operates one of the world's largest all-AMD GPU clouds. The partnership supports the company's mission to provide production-grade AI infrastructure for enterprise customers and AI labs.

AMD
Aug 27th, 2025
Your AI Journey, Accelerated: How Enterprise Teams Are Scaling AI From Concept to Impact

At the AMD Advancing AI 2025 event, global innovators including Dell Technologies, Supermicro, Vultr, TensorWave, and AWS shared how they're helping organizations move through each critical phase of AI adoption with open, flexible, and solutions using AMD technology.

WAYA Media
May 15th, 2025
Aramco's Prosperity7 Backs US AI Startup TensorWave in USD 100M Round

Prosperity7, Aramco's VC arm, leads USD 100M Series A funding in US-based AI infrastructure startup TensorWave.

Grit Daily
May 14th, 2025
TensorWave Raises $100M to Build the Future of AI Infrastructure

In a big swing that signals just how hot the AI infrastructure race has become, TensorWave announced a $100 million Series A funding round co-led by Magnetar and AMD Ventures, with participation from Maverick Silicon, Nexus Venture Partners, and new investor Prosperity7.

FinSMEs
May 14th, 2025
TensorWave Raises $100M in Series A Funding

TensorWave, a Las Vegas, NV-based company developing AMD-powered AI infrastructure solutions, raised $100M in Series A funding

INACTIVE