Founder VP AI Inference (SW)

• →Lead architecture and delivery of a high-performance AI inference software stack spanning runtime, scheduling, serving, and system optimization.
• →Build and mentor a small elite engineering team while remaining hands on with code, technical design, and execution.
• →Partner with founders to shape product roadmap, infrastructure strategy, and the path from software acceleration into programmable hardware and future silicon.
• →Improve throughput, latency, utilization, and cost efficiency across modern accelerator-based deployments and distributed environments.
• →Work closely with strategic customers and ecosystem partners to support real world production adoption and performance tuning.
• →Establish engineering standards for hiring, release quality, experimentation, and cross functional collaboration in a fast-moving startup setting.

• Deep experience building or optimizing production scale AI inference or distributed systems software for accelerator rich environments.
• Strong systems background in one or more of GPU programming, kernel optimization, runtime design, communication layers, caching, batching, or scheduling.
• Track record of shipping technically difficult platforms where performance, reliability, and scalability all matter.
• Experience leading senior engineers and attracting top talent, with the judgment to balance urgency and long-term architecture.
• Familiarity with modern model serving patterns, speculative execution approaches, and performance measurement for large scale AI workloads.
• Comfortable operating in an early-stage company where ambiguity is high and leaders help define the playbook.

• Founder-level influence on both technical strategy and team formation.
• Meaningful exposure to cutting edge AI infrastructure work with real production impact.
• High autonomy, direct access to leadership, and room to shape the function without heavy micromanagement.
• Competitive executive compensation and meaningful equity participation.
• Opportunity to help define how advanced inference software evolves alongside next generation hardware initiatives.

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