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Job description
AILIFEPAY Inc. is developing a Quantum AI Foundational Super-Intelligent, Energy-Efficient Inference Model and Infrastructure to fundamentally transform how intelligent systems are built, deployed, and scaled from the silicon layer to intelligent applications.
We are building an intelligent computational fabric that connects learning, reasoning, execution, and physical interaction. Our mission is to integrate Quantum AI, intelligent orchestration, and heterogeneous computing into a unified platform that enables intelligence to scale efficiently, securely, and reliably.
Our work spans AI, Physical AI, robotics, and intelligent systems. We are looking for an exceptional leader who thrives on rapid iteration, open-ended challenges, and translating research into production. You should be comfortable tackling ambiguous, high-stakes problems and rapidly delivering polished, reliable products.
About the Role
As a Chief Technology Officer, VP of Research (PhD), Member of Technical Staff, or Quantum Scientist you will serve as a technical force multiplier, combining deep AI expertise with strong business acumen.
You will help shape the company’s research strategy, engineering architecture, and technical roadmap, translating frontier AI research into production-grade intelligent systems. The role directly supports OSInfinity’s focus on faster inference, improved accuracy, higher information density, reduced energy consumption, and stronger security. Delivering infrastructure for high-value AI use cases.
Research and Technology Focus
Foundational Intelligence & Adaptive Reasoning
Energy-Efficient AI Infrastructure & Heterogeneous Computing
Physical AI, Robotics & Embodied Autonomy
Quantum AI & Scientific Intelligence
Your 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 in leading journals (e.g., NeurIPS, ICML, ICLR)
Minimum Qualifications
PhD in Computer Science, Electrical and Computer Engineering (ECE), AI, Data Science, or a related technical field, with a strong entrepreneurial interest
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, heuristic methods, and optimal control theory
Experience developing strategies and roadmaps to solve complex problems, including time-series forecasting, clustering, and a broad range of statistical and machine-learning challenges
Great Fit
Located in or near Palo Alto, California
Hands-on experience with model fine-tuning
Value scientific rigor, engineering excellence, and practical execution
Experience integrating R&D, open-source, and commercial technologies
Familiarity with AI evaluation frameworks, synthetic data, or physical AI/robotics integration
Equity compensation will be determined based on experience, technical leadership, and whether the role is full-time or part-time.
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Worksite address
palo alto, CA, 94306, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.