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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and architectures that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art quantum lab, working on projects that could solve previously impossible problems in cryptography, materials science, and AI optimization. This role offers unparalleled opportunities to shape the future of technology while enjoying competitive compensation and comprehensive benefits including equity in our fast-growing unicorn startup.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Lead research in quantum error correction and fault-tolerant systems
  • Develop quantum machine learning frameworks for 2026-era applications
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish breakthrough research in top-tier journals and conferences
  • Secure patents for quantum computing innovations
  • Mentor junior researchers and guide quantum research roadmap

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 5+ years of quantum algorithm development experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong publication record in quantum computing research
  • Deep understanding of quantum entanglement and superposition principles
  • Experience with quantum simulation frameworks (QASM, Quil)
  • Proven ability to lead complex research projects to completion
  • Passion for solving humanity's greatest computational challenges

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Q# Quantum Machine Learning Cryptography Physics Simulation

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