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Quantum Computing Research Scientist - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and systems that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for innovation, including access to quantum processors, AI-driven modeling platforms, and cross-disciplinary teams working on humanity's most pressing challenges.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead research initiatives to overcome quantum decoherence and error correction challenges
  • Collaborate with hardware engineers to optimize quantum circuit designs for next-generation processors
  • Publish high-impact research in leading journals and present at international conferences
  • Mentor junior researchers and foster a culture of scientific excellence
  • Develop quantum simulation frameworks for real-world problem-solving
  • Secure external funding through NSF, DoE, and industry partnerships

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in quantum error correction codes and fault-tolerant architectures
  • Strong background in linear algebra, probability, and computational complexity
  • Experience with high-performance computing and parallel processing
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Algorithms Quantum Error Correction High-Performance Computing Machine Learning Cryptography Linear Algebra Scientific Research

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