Hyperbolic

Full-stack Engineer

• Work closely with Product and Engineering teams to design, build, and scale end-to-end applications for AI cloud platform.
• Contribute across the stack — from infrastructure and backend systems to frontend interfaces.
• Deliver a seamless experience for GPU marketplace, inference tools, and platform services.
• Architect scalable systems, implement new features, and continuously improve development practices to support rapid growth.
• Collaborate with talented engineers to build the backbone of Hyperbolic’s core products.

Member of Technical Staff – Full Stack

Infrastructure Engineer

• Customer benchmarking & coordination: Be the technical point-of-contact during trials, running both standardized and custom benchmarks to prove our value
• Design and run performance tests: Design, run, and analyze benchmarks across customer workloads — including comparisons against AWS, Lambda, and others
• Debug and optimize customer trials: Diagnose performance issues (GPU utilization, NCCL setup, container configs) and recommend fixes
• Reporting & documentation: Package results into clear, credible reports and handoffs that make technical findings easy to act on
• Maintain benchmarking infrastructure: Own and maintain the scripts, containers, and environments used to validate performance across SKUs and setups
• Continuous iteration: Identify performance gaps, optimize cluster configs, and work with supply and engineering to close the loop

Member of Technical Staff – Full Stack

Forward Deployed Infrastructure Engineer