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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll design breakthrough algorithms, collaborate with Nobel laureates, and contribute to projects that solve previously impossible computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where curiosity drives innovation.

We're seeking visionaries who thrive at the intersection of physics, computer science, and practical application. If you're passionate about shaping the technological landscape of tomorrow, this is your opportunity to make history.

Responsibilities

  • Design and implement novel quantum algorithms for cryptography and optimization
  • Lead cross-functional teams in developing quantum-resistant security protocols
  • Conduct experimental research on quantum error correction techniques
  • Publish findings in leading scientific journals and present at international conferences
  • Collaborate with hardware teams to optimize quantum system performance
  • Mentor junior researchers and drive innovation in quantum machine learning

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum computing frameworks (Qiskit, Cirq)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Publication record in quantum information science
  • Strong background in linear algebra and quantum mechanics
  • Experience with high-performance computing environments
  • Track record of translating theoretical concepts into practical applications

Required Skills

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

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