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Quantum AI Research Scientist

Nexus Labs
Austin
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 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to architect the next generation of computational frameworks that will redefine industries. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop hybrid quantum-classical systems capable of solving previously unsolvable problems in drug discovery, climate modeling, and materials science. Our Austin R&D hub offers state-of-the-art quantum annealing hardware and a culture where your breakthrough innovations will directly shape humanity's technological trajectory.

As part of our elite Future Systems Division, you'll receive competitive equity packages, unlimited R&D budget, and flexible work arrangements designed to maximize your creative output. This is more than a jobβ€”it's your opportunity to build the computational infrastructure that will power the 2026 digital ecosystem.

Responsibilities

  • Design and implement novel quantum algorithms for AI optimization and machine learning acceleration
  • Lead cross-functional prototyping teams to develop quantum neural network architectures
  • Author breakthrough research papers for Nature/Science journals and industry whitepapers
  • Develop error-correction protocols for large-scale quantum systems operating at room temperature
  • Collaborate with hardware engineers to co-design quantum-AI hybrid computing stacks
  • Establish industry partnerships to validate quantum-AI solutions in real-world environments
  • Mentor postdoctoral researchers and lead technical workshops for emerging quantum developers

Qualifications

  • PhD in Quantum Physics, Computer Science, or Computational Mathematics with 5+ years of research experience
  • Published research in quantum machine learning or quantum algorithms in top-tier journals
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and classical AI frameworks
  • Proven track record of translating theoretical quantum concepts into practical implementations
  • Deep understanding of quantum decoherence mitigation and error correction techniques
  • Experience with high-performance computing environments and distributed quantum systems
  • Exceptional ability to communicate complex quantum concepts to technical and non-technical stakeholders

Required Skills

Quantum Computing Machine Learning Quantum Algorithms AI Optimization Quantum Programming Error Correction High-Performance Computing Research Leadership

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