Top Tech Jobs & Startup Jobs

Own General Compute’s X and LinkedIn presence, founder-led social, live event coverage, dinners, office activations, and out-of-home campaigns. Build a credible technical content channel that supports recruiting and customer awareness. The role requires an active online presence, strong initiative, comfort creating real-time content, technical fluency, and willingness to work on-site at hackathons and industry events.

Design and own scalable data center networks for a heterogeneous AI inference fleet. Responsibilities include leaf-spine architecture, GPU-to-ASIC connectivity, site deployment, cabling, cross-connects, external connectivity, tenant isolation, automation, monitoring, incident response, and vendor management. The role requires hands-on network design and deployment across high-performance AI/HPC environments and close collaboration with platform engineering.

Build the foundational inference cloud platform, including its control plane, API, serving layer, routing, model placement, scheduling, reliability, and observability. The role involves scaling a heterogeneous GPU and ASIC fleet, partnering with data center and model deployment teams, and shaping platform architecture as an early individual contributor at a small startup.

Own the end-to-end LLM inference serving stack for specialized ASIC hardware. Design request routing, batching, scheduling, KV-cache management, autoscaling, monitoring, alerting, and failover. Optimize throughput and cost per token, support production reliability and on-call operations, collaborate with compiler and hardware bring-up teams, shape the serving roadmap, and establish technical standards for a growing engineering team.

Own General Compute’s capital markets strategy, including structuring and closing asset-backed financing facilities, managing lender relationships, and developing the company’s credit story. Build financial models, lead data rooms and lender processes, manage subsequent debt tranches and customer contract financing, and oversee day-to-day company finance, cash flow, budgeting, and bookkeeping. This is the first dedicated capital markets role and reports directly to the CEO.

Own the infrastructure layer of an AI inference cloud, including the Kubernetes-based control plane, gateway, load balancing, observability, capacity planning, accelerator operations, and incident response. The role begins hands-on and expands to building and managing the infrastructure team. Responsibilities include supporting heterogeneous ASIC and GPU fleets, partnering with hardware vendors, optimizing tail latency, establishing on-call practices, and bringing up new hardware platforms.