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Quantum Computing Research Scientist

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and hardware prototypes in our state-of-the-art R&D facility. This role offers unparalleled opportunities to shape the future of computation while collaborating with Nobel laureates and industry pioneers.

Our team operates at the intersection of physics, computer science, and machine learning, pushing the boundaries of quantum supremacy. You'll contribute to projects with real-world impact in cryptography, drug discovery, and climate modeling, backed by a $50M research budget and exclusive partnerships with NASA and MIT.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for quantum processors operating at 99.9% fidelity
  • Lead cross-functional teams in prototyping next-generation quantum hardware
  • Publish research in top-tier journals (Nature, Science, IEEE) and present at global conferences
  • Collaborate with government agencies on quantum security standards for 2026 infrastructure
  • Mentor PhD candidates in quantum information science programs

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq) and simulation tools
  • Published research in quantum error correction or topological quantum computing
  • Expertise in quantum hardware platforms (superconducting, trapped ions, photonic)
  • Proficiency in high-performance computing and parallel programming
  • Clearance for DOE/NIST quantum security protocols

Required Skills

Quantum Computing Qiskit Cirq Quantum Error Correction Machine Learning High-Performance Computing Cryptography Topological Quantum Computing

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