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Quantum AI Research Scientist

Nexus Futures Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Futures Inc. at the forefront of 2026's technological revolution! We're pioneering quantum-AI convergence solutions that will redefine industries worldwide. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms at our Austin Innovation Hub, working with cutting-edge quantum processors and next-gen neural networks. Collaborate with Nobel laureates and disrupt industries from healthcare to climate science. Our agile, interdisciplinary environment offers unparalleled resources and creative freedom to transform theoretical concepts into real-world impact.

Responsibilities

  • Design and implement quantum machine learning models for complex optimization problems
  • Lead cross-functional R&D projects integrating quantum computing with generative AI systems
  • Develop novel error-correction protocols for fault-tolerant quantum neural networks
  • Publish breakthrough research in top-tier journals and industry white papers
  • Mentor junior researchers in quantum-AI hybrid methodologies
  • Secure federal and private research grants for experimental validation
  • Collaborate with product teams to commercialize quantum-AI applications

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics with 3+ years industry experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Published research in quantum machine learning or quantum algorithms
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Demonstrated ability to translate theoretical concepts into experimental prototypes
  • Experience securing research funding from NSF, DARPA, or corporate partners
  • Strong background in ethical AI frameworks and responsible innovation practices

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Cirq High-Performance Computing Research Methodology Algorithm Design

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