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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering breakthroughs in quantum computing that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll architect next-gen algorithms, collaborate with Nobel laureates, and solve humanity's most complex challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where curiosity fuels innovation.

What you'll achieve:

  • Develop quantum-resistant encryption protocols for financial systems
  • Simulate molecular interactions for drug discovery at unprecedented scale
  • Lead cross-functional teams in building fault-tolerant quantum processors
  • Publish findings in Nature Physics and IEEE journals
  • Shape the future of quantum AI through strategic R&D initiatives

We offer competitive equity packages, wellness stipends, and flexible hybrid work arrangements. Your work will directly impact how the world solves climate modeling, materials science, and logistics optimization challenges.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning
  • Lead research in quantum error correction and fault-tolerant architectures
  • Collaborate with hardware teams to bridge theoretical models with quantum processors
  • Secure NSF and DoD grants for quantum computing initiatives
  • Mentor PhD researchers in quantum information theory
  • Develop quantum-safe cybersecurity frameworks for enterprise clients
  • Present breakthrough findings at international conferences like Q2B

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (postdoc preferred)
  • 3+ years of quantum programming experience with Qiskit, Cirq, or Q#
  • Published research in top-tier quantum computing journals
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum complexity theory
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Strong background in linear algebra, probability, and information theory
  • Proven ability to secure research funding and lead technical teams

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Quantum Error Correction Quantum Hardware Machine Learning Cryptography Research Linear Algebra Python Scientific Computing

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