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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking visionary researchers to develop next-gen quantum algorithms and hardware solutions that will redefine computational boundaries. Our interdisciplinary team collaborates with MIT, NASA, and IBM to transform theoretical physics into practical applications across cryptography, AI, and materials science.

This role offers competitive equity packages, unlimited R&D budget, and access to our state-of-the-art quantum lab with 128-qubit processors. You'll work directly with Nobel laureates and publish in Nature/Science journals while shaping the future of human-machine symbiosis.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware engineers to improve qubit coherence times
  • Lead cross-functional projects with AI and cybersecurity divisions
  • Secure research funding through NSF and DARPA proposals
  • Mentor PhD candidates in quantum information theory
  • Publish breakthrough research in top-tier scientific journals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Expertise in Qiskit, Cirq, or similar quantum programming frameworks
  • Published work in quantum algorithm development or quantum error correction
  • Strong background in linear algebra, probability theory, and statistical mechanics
  • Experience with superconducting or photonic quantum systems
  • Security clearance eligibility for government-funded projects

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Fault-Tolerant Systems Quantum Error Correction Superconducting Qubits Cryptography Machine Learning Scientific Research

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