At a glance
- Employment
- Internship
- Workplace
- Onsite
- Location
- Las Vegas
About TensorWave
- Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the role
- TensorWave is seeking a Software Engineering Intern to join a small, high-impact engineering team during an exciting phase of growth.
- The role involves working on real production challenges in a cutting-edge GPU cloud environment, including 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
Requirements
- 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
Benefits
- Paid Internship
Skills
- Kubernetes
- Slurm
