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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Future Labs at the bleeding edge of technological evolution. We're seeking a visionary Quantum AI Architect to pioneer solutions that will redefine industries by 2026. This role demands a fusion of quantum computing expertise and artificial intelligence mastery to build scalable, next-generation systems that solve humanity's most complex challenges.

As a key member of our R&D division, you'll collaborate with Nobel laureates and industry disruptors to develop quantum algorithms that accelerate machine learning breakthroughs. You'll shape the blueprint for our 2026 product roadmap while mentoring a world-class team of quantum researchers and AI engineers.

Responsibilities

  • Design and implement hybrid quantum-classical AI architectures for enterprise-scale applications
  • Lead development of quantum machine learning models achieving 1000x speed improvements
  • Create fault-tolerant quantum computing protocols for real-time data processing
  • Develop ethical frameworks for quantum AI deployment across healthcare, logistics, and finance
  • Secure $50M+ in research grants by publishing breakthrough findings in Nature/Science
  • Mentor quantum engineers and PhD candidates in cutting-edge algorithms
  • Partner with hardware teams to co-design quantum processors optimized for AI workloads

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 5+ years industry experience
  • Published research in top-tier journals on quantum machine learning or quantum algorithms
  • Expertise in Q#, Qiskit, or similar quantum programming frameworks
  • Proven track record of building production-level quantum systems with error correction
  • Deep understanding of quantum supremacy challenges and fault-tolerance techniques
  • Experience securing federal research grants (NSF, DARPA, DOE)
  • Strong background in tensor networks and quantum circuit optimization

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Qiskit Q# Theoretical Physics Quantum Algorithms Fault-Tolerance Tensor Networks Quantum Machine Learning

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