Hyperbolic

• Create content on GPU architectures, distributed training, inference optimization, and AI infrastructure—topics where deep technical understanding drives credibility. • Engage authentically in communities like Discord and technical forums where users live. • Own content creation across our website. • Pitch guest posts to publications. • Ghostwrite technical thought leadership for executives. • Stay current on what's happening in AI infrastructure. • Generate ideas independently, research deeply, and ship accurate content quickly.

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

• Work closely with Product and Engineering teams to design, build, and scale end-to-end applications. • Contribute across the stack — from infrastructure and backend systems to intuitive frontend interfaces. • Deliver a seamless experience for our GPU marketplace, inference tools, and platform services. • Architect scalable systems, implement new features, and improve development practices to support rapid growth.