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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking visionary Research Scientists to decode quantum algorithms, develop error-corrected qubits, and collaborate with global innovators to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where curiosity meets cutting-edge experimentation. If you're ready to shape the future of computation, this is your moment.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental quantum hardware testing and error mitigation protocols
  • Develop quantum-resistant cryptography frameworks for next-gen security
  • Collaborate with cross-disciplinary teams to translate quantum research into commercial solutions
  • Publish findings in leading scientific journals and present at international conferences
  • Secure research funding through government and private sector partnerships
  • Mentor junior researchers in quantum computing methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent research experience)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum error correction
  • Proficiency in Python, C++, and high-performance computing environments
  • Deep understanding of quantum mechanics principles and linear algebra
  • Experience with superconducting or ion-trap quantum processors
  • Track record of securing research grants or industry partnerships
  • Strong problem-solving skills for abstract computational challenges

Required Skills

Quantum Computing Quantum Algorithms Cryptography Python C++ Qiskit Q# Superconducting Qubits Error Correction Machine Learning

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