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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution! We're seeking visionary Quantum Computing Research Scientists to pioneer breakthroughs that will redefine industries. Our interdisciplinary team operates at the intersection of quantum physics, artificial intelligence, and sustainable innovation. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley facility, where your work could solve humanity's most complex challenges—from climate modeling to drug discovery. We offer unparalleled resources, competitive equity packages, and a culture that rewards bold thinking.

Responsibilities

  • Lead quantum algorithm development for real-world applications in cryptography and optimization
  • Design and execute complex quantum experiments using superconducting qubit systems
  • Publish groundbreaking research in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation projects
  • Secure patents and intellectual property for novel quantum methodologies
  • Collaborate with AI teams to hybridize quantum-classical computing solutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (postdoc preferred)
  • 3+ years hands-on experience with quantum computing platforms (IBM, Rigetti, or D-Wave)
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Publication record in Nature/Science or equivalent high-impact journals
  • Proficiency in machine learning frameworks for quantum data analysis
  • Demonstrated ability to secure research funding (> $1M)
  • Strong background in error correction and fault-tolerant quantum systems

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Qiskit Cirq Machine Learning Quantum Cryptography Error Correction High-Performance Computing

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