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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine the digital landscape of 2026 and beyond. We're seeking visionary researchers to develop next-gen quantum algorithms and hardware prototypes that will solve previously unsolvable challenges in cryptography, AI, and materials science. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative environment where your groundbreaking ideas become reality.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware engineering teams to validate quantum processor designs
  • Lead cross-functional research initiatives in quantum machine learning applications
  • Publish findings in top-tier scientific journals and present at international conferences
  • Secure research funding through federal and private grant applications
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or similar)
  • Published research in quantum algorithm development or quantum hardware
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra, probability theory, and computational complexity
  • Proficiency in high-performance computing environments and parallel programming
  • Demonstrated ability to secure research funding or patents in quantum technologies

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Error Correction Fault-Tolerance Machine Learning Cryptography High-Performance Computing Linear Algebra

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