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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution! We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthroughs that will redefine computing by 2026. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art quantum research facility, where your work will directly shape the future of artificial intelligence, cryptography, and materials science.

Our interdisciplinary team operates at the intersection of quantum physics, machine learning, and advanced algorithms. You'll have access to cutting-edge quantum processors and unlimited computational resources to solve humanity's most complex challenges. We offer competitive equity packages, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier scientific journals.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experimental research on quantum error correction and qubit stability
  • Collaborate with AI teams to develop hybrid quantum-classical machine learning frameworks
  • Publish peer-reviewed research and present findings at international conferences
  • Secure external funding through NSF and DARPA grant proposals
  • Mentor junior researchers in quantum computing principles

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong publication record in quantum information science
  • Expertise in quantum error correction and fault tolerance
  • Demonstrated ability to secure research funding
  • Experience with high-performance computing environments

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Quantum Error Correction Machine Learning Research Methodology High-Performance Computing Scientific Publishing

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