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Information Technology 🏢 Full Time ⭐️ Verified

2026 Quantum AI Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological evolution. We seek a visionary 2026 Quantum AI Research Lead to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape the next generation of computational paradigms in our state-of-the-art San Francisco facility. Collaborate with Nobel laureates and industry disruptors to transform theoretical possibilities into tangible innovations that will redefine humanity's technological landscape.

This role offers unparalleled resources, competitive equity, and the opportunity to impact how the world processes information by 2026. Our team operates at the bleeding edge of quantum machine learning, cryptography, and neural network optimization.

Responsibilities

  • Lead cross-functional R&D teams in developing quantum AI algorithms for 2026-era applications
  • Architect hybrid quantum-classical computing frameworks for enterprise-scale deployment
  • Drive innovation in quantum-resistant cryptography and AI security protocols
  • Secure $5M+ in research grants through NSF and DARPA partnerships
  • Author breakthrough publications in Nature/Science journals
  • Mentor next-gen quantum engineers through Nexus Labs' fellowship program
  • Translate theoretical quantum computing models into practical AI implementations

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
  • Proven track record of publishing in top-tier quantum/AI research venues
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Proficiency with quantum hardware (IBM Quantum, Rigetti, IonQ) and cloud platforms
  • Demonstrated ability to secure government/academic research funding
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Experience leading teams of 10+ researchers in high-stakes environments

Required Skills

Quantum Computing Machine Learning Cryptography Research Leadership Quantum Algorithms AI Security Grant Writing Team Management

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