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Quantum Computing Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological revolution! We're seeking a Quantum Computing Research Scientist to pioneer breakthrough applications that will define the 2026 digital landscape. This role offers unparalleled opportunities to collaborate with Nobel laureates and industry disruptors in our state-of-the-art quantum lab.

As part of our elite Future Technologies Division, you'll develop novel quantum algorithms, optimize hardware-software integration, and publish groundbreaking research in top-tier journals. We provide competitive compensation, flexible work arrangements, and a $50,000 annual R&D budget for your innovative projects.

Responsibilities

  • Design and implement quantum algorithms for optimization, simulation, and cryptography applications
  • Collaborate with hardware engineers to optimize quantum processor performance
  • Lead research initiatives targeting fault-tolerant quantum systems by 2026
  • Publish 2-3 peer-reviewed papers annually in quantum computing journals
  • Develop quantum software SDKs for enterprise clients
  • Mentor junior researchers and supervise graduate interns
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in Nature/Science or equivalent top-tier journals
  • Expertise in quantum error correction and fault-tolerance protocols
  • Strong background in linear algebra, probability theory, and algorithm design
  • Experience with quantum hardware platforms (IBM Q, Rigetti, or IonQ)
  • Excellent written and verbal communication skills for technical presentations

Required Skills

Quantum Computing Quantum Algorithms Fault-Tolerant Systems Qiskit Cirq Quantum Error Correction Theoretical Physics Machine Learning High-Performance Computing Scientific Research

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