Quantum AI Research Leader for Foundational Intelligence

AiLifePay Inc.

Palo Alto (CA)

On-site

USD 180,000 - 320,000

Full time

7 days ago
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Benefits offered by this job

Equity compensation

Job summary

AILIFEPAY Inc. is leading a Quantum AI platform to transform intelligent systems, from silicon to applications, centered in Palo Alto.

The Chief Technology/Research leadership role focuses on translating frontier AI research into production infrastructure and scalable services. You will shape research strategy, architecture, and the technical roadmap, delivering energy-efficient AI infrastructure, adaptive reasoning, and secure, high-density systems.

Qualifications

  • PhD in Computer Science, ECE, AI, Data Science or related field with entrepreneurial interest.
  • Strong knowledge of system architecture and domain modeling.
  • Experience creating and operating complex technical workflows and systems.
  • Familiarity with AI evaluation frameworks and practical efficiency considerations.

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.
  • Create benchmarks for AI performance, reliability and efficiency.
  • Investigate efficiency across compute, memory, latency and energy.
  • Evaluate emerging technologies for relevance and feasibility.
  • Publish research papers in top conferences and journals (e.g., NeurIPS, ICML, ICLR).

Skills

System architecture
AI/ML research
Discrete optimization
Time-series forecasting
Leadership

Education

PhD in Computer Science or related field

Job description

AILIFEPAY Inc. is leading a Quantum AI platform to transform intelligent systems, from silicon to applications, centered in Palo Alto.

The Chief Technology/Research leadership role focuses on translating frontier AI research into production infrastructure and scalable services. You will shape research strategy, architecture, and the technical roadmap, delivering energy-efficient AI infrastructure, adaptive reasoning, and secure, high-density systems.

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