Software Engineering Intern
Las Vegas, NevadaInternPosted 2w ago
About the role
Software Engineering Intern at TensorWave working in a small, high-impact engineering team to build systems that power AI compute in a cutting-edge GPU cloud environment. Hands-on experience with bare-metal infrastructure, large-scale distributed systems, and AMD's ROCm ecosystem.
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
Qualifications
- 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
Skills
Required:Collaboration with senior engineersCloud control planeAutomation, monitoring, observabilityGPU clusters (Slurm, Kubernetes)
Benefits
- Paid Internship
Last updated Oct 8, 2026. Interested? Apply on the company site.
About TensorWave
Next-Gen AI Infrastructure
TensorWave: AI & HPC Cloud with AMD Instinct™
AI inferencemanaged inferenceLLM inferenceAI model deploymentlow-latency inferencescalable AIAI autoscalingGPU inference
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