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Quantum AI Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 175.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs in quantum machine learning and autonomous systems. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum algorithms that solve previously impossible computational challenges. Our Austin-based innovation hub offers unparalleled resources, including a 512-qubit quantum processor and AI-accelerated supercomputing infrastructure.

Why Nexus Quantum Labs? We're not just building technology – we're redefining reality. Our cross-disciplinary teams blend quantum physics, AI, and nanotechnology to create solutions for climate modeling, drug discovery, and secure communications. With 40% YoY growth and $500M in Series C funding, we're scaling our quantum workforce to lead the post-silicon era.

Competitive compensation includes equity grants, flexible work arrangements, and access to our exclusive Quantum Innovation Academy. Relocation assistance provided for top-tier candidates.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for pattern recognition and predictive modeling
  • Lead cross-functional research initiatives combining quantum computing with AI/ML frameworks
  • Develop error mitigation techniques for quantum neural networks at scale
  • Collaborate with hardware teams to optimize quantum-AI hybrid system architectures
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Secure research grants and partnerships with national quantum initiatives
  • Mentor junior researchers in quantum algorithm development

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
  • Published work in quantum machine learning or quantum algorithms
  • Deep understanding of quantum error correction and fault-tolerant computing
  • Experience with high-performance computing environments and GPU acceleration
  • Strong analytical skills with ability to translate complex mathematical concepts
  • Track record of securing research funding or patents in quantum technologies

Required Skills

Quantum Computing Quantum Machine Learning AI/ML Qiskit Q# Python C++ High-Performance Computing Quantum Error Correction Research

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