Quantum AI Research VP - Equity Options, Production-Grade

AiLifePay Inc.; Palo Alto (CA); On-site; USD 250,000 - 420,000; Full time

Benefits offered by this job

Equity compensation

Job summary

AiLifePay Inc. in Palo Alto is seeking a visionary Chief Technology Officer/VP of Research to drive research strategy, engineering architecture, and production-grade AI systems.

You will translate frontier AI research into scalable, energy-efficient infrastructure and guide critical roadmaps for quantum-classical architectures. You will lead research, development, and deployment, shaping the technical roadmap, and collaborating across R&D, open-source, and commercial technologies to accelerate

Qualifications

• PhD in Computer Science, Electrical and Computer Engineering, AI, Data Science, or related field.
• Strong knowledge of system architecture and domain modeling.
• Understanding of AI factory reference architectures.
• Experience developing complex technical workflows and systems.
• Knowledge of discrete optimization and optimal control theory.
• Experience outlining roadmaps for time-series forecasting, clustering, and ML challenges.

Responsibilities

• Build full-stack AI and Physical AI services.
• Design hybrid quantum-classical computing architectures.
• Research algorithms for high-throughput parallel processing.
• Design and implement backend services, APIs, and data pipelines.
• Develop benchmarks for AI performance, reliability, and efficiency.
• Research practical efficiency across compute, memory, latency, and energy.
• Stay at the forefront of AI research; evaluate emerging technologies for relevance and feasibility.
• Publish research papers at top-tier conferences and leading journals.

Skills

System architecture

AI factory architectures

Technical workflows

Optimization theory

Time-series forecasting

Clustering

Model fine-tuning

R&D integration

Evaluation frameworks

Synthetic data

Education

PhD in CS / ECE / AI / Data Science

Job description

AiLifePay Inc. in Palo Alto is seeking a visionary Chief Technology Officer/VP of Research to drive research strategy, engineering architecture, and production-grade AI systems.

You will translate frontier AI research into scalable, energy-efficient infrastructure and guide critical roadmaps for quantum-classical architectures. You will lead research, development, and deployment, shaping the technical roadmap, and collaborating across R&D, open-source, and commercial technologies to accelerate