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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 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 decode quantum algorithms, build fault-tolerant systems, and solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco fosters collaboration across physics, AI, and cryptography. If you're driven to reshape the digital landscape, this is your moment to lead the next computational revolution.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols for scalable quantum processors
  • Collaborate with hardware teams to bridge theoretical models and practical quantum systems
  • Lead cross-functional research initiatives in quantum cryptography and secure communications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure funding through government grants and industry partnerships
  • Mentor junior researchers and drive innovation in quantum education initiatives

Qualifications

  • PhD in Physics, Computer Science, or related quantum computing discipline
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong publication record in quantum computing or theoretical physics
  • Proficiency with high-performance computing environments and parallel processing
  • Demonstrated ability to translate complex quantum concepts into practical applications
  • Experience securing research grants from NSF, DARPA, or similar institutions
  • Passion for ethical quantum technology development and deployment

Required Skills

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

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