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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 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 a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and hardware prototypes that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay Bridge. This role offers unparalleled opportunities to shape the quantum landscape while enjoying competitive benefits, flexible work arrangements, and dedicated R&D funding.

Responsibilities

  • Design and implement quantum algorithms for cryptography optimization and machine learning acceleration
  • Lead prototyping of next-gen quantum processors using superconducting and photonic systems
  • Collaborate with cross-functional teams to develop quantum-resistant security frameworks
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Secure $5M+ in annual R&D grants through innovative project proposals
  • Mentor PhD candidates and junior researchers in quantum mechanics principles

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Published research in Nature/Science with 50+ citations in quantum computing
  • Expertise in Qiskit, Cirq, or similar quantum programming frameworks
  • Proven track record of securing government or corporate research grants
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Strong background in condensed matter physics and cryogenic engineering
  • Experience with tensor network simulations and quantum circuit optimization

Required Skills

Quantum Computing Algorithm Design Cryogenic Engineering Qiskit Cirq Quantum Cryptography Research Grant Writing Machine Learning Fault-Tolerant Systems

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