VP of Research (PhD) / Quantum Scientist

AiLifePay Inc.; Palo Alto (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Equity compensation

Job summary

AiLifePay Inc. is building a Quantum AI foundation and intelligent infrastructure to transform how systems are built, deployed, and scaled from silicon to applications.

As a leader you will shape research strategy, engineering architecture, and the technical roadmap, translating frontier AI research into production-grade systems. You will collaborate on energy-efficient AI, heterogeneous computing, and robotics, publish at top conferences, and guide a team across research and product.

Qualifications

• PhD with strong entrepreneurial interest.
• Experience shaping research strategy and roadmaps.
• Knowledge of AI factory reference architectures.
• Proven ability to design complex workflows and systems.

Responsibilities

• Build full-stack AI and Physical AI services.
• Design hybrid quantum-classical computing architectures.
• Research algorithms for high-throughput parallel processing.
• Develop backend services, APIs, and data pipelines.
• Publish research papers at top-tier venues.

Skills

System architecture

AI factory architectures

Time-series forecasting

Clustering

Statistical ML

Entrepreneurial mindset

Education

PhD in Computer Science

PhD in Electrical and Computer Engineering

PhD in AI / Data Science

PhD in related technical field

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.