Software Engineering Intern

About the Role: We’re looking for aSoftware Engineering Internto join our team during an exciting phase of growth. In this role, 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.

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

Reasonable Accommodations: TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law. Background Checks Where permitted by law, employment may be contingent upon the successful completion of a job‑related background check. Data Privacy Notice By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment‑related purposes in accordance with applicable data privacy laws.