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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer the next era of computing. We're seeking visionary Quantum Computing Research Scientists to architect and implement breakthrough quantum algorithms that will redefine industries by 2026. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab, where your work will directly impact quantum supremacy, cryptography, and AI optimization. Enjoy unparalleled resources, flexible research parameters, and a culture that celebrates intellectual curiosity.

What We Offer:

  • Unlimited research budget with cutting-edge quantum hardware access
  • Equity package with potential 10x returns
  • Patent ownership and publication freedom
  • 4-day work week with remote flexibility

Responsibilities

  • Design and develop novel quantum algorithms for optimization and machine learning
  • Lead experimental validation of quantum supremacy claims
  • Collaborate with hardware teams to mitigate decoherence challenges
  • Publish findings in top-tier journals (Nature, Science, etc.)
  • Secure $1M+ in DARPA/NASA research grants annually
  • Mentor PhD interns in quantum error correction techniques
  • Drive patent development for quantum-resistant cryptography

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of quantum algorithm development experience
  • Expertise in Qiskit, Cirq, or equivalent quantum SDKs
  • Published research in quantum computing or quantum information
  • Proficiency in Python, C++, and quantum circuit simulation
  • Deep understanding of quantum entanglement and superposition
  • Track record of securing government research funding
  • Experience with trapped-ion or superconducting qubits

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Python Cryptography Machine Learning Research Physics PhD

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