Power AI workloads with AMD Instinct™ GPUs. Scale models faster with high-performance, dedicated cloud compute.
About the role
We’re looking for a Software Engineering Intern to 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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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.
We’re looking for a Software Engineering Intern to 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.
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...
Browse similar: Startup internships · Startup jobs