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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the future of technology by pioneering breakthroughs in quantum computing. At Nexus Quantum Labs, we're accelerating the next frontier of computational power, and we need visionary researchers to lead our 2026 quantum initiatives. Join our interdisciplinary team of Nobel laureates and tech pioneers in a state-of-the-art facility where you'll develop algorithms that redefine what's possible in cryptography, AI, and materials science.

We offer unparalleled resources, including access to quantum hardware, dedicated research budgets, and collaboration with global institutions. Your work will directly impact industries from healthcare to aerospace, solving problems previously deemed unsolvable. If you're ready to leave a legacy in quantum innovation, this is your moment.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation
  • Lead experimental quantum computing projects with superconducting qubits
  • Collaborate with hardware teams to bridge quantum software-hardware integration
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and drive quantum education initiatives
  • Develop patentable quantum solutions for real-world industry challenges
  • Secure external funding through NSF and DARPA proposals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in Nature/Science or equivalent tier journals
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with cryogenic quantum systems and control electronics
  • Proven track record of translating theory to practical applications

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Systems Q# Research Physics Machine Learning Cryptography

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