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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing applications that will redefine 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop scalable algorithms and solve previously unsolvable computational challenges. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility, where your breakthroughs could transform cryptography, AI, and material science.

Our dynamic environment offers competitive equity, unlimited PTO, and dedicated R&D funding. Shape the future of human progress while advancing your career in one of the world's most impactful fields.

Responsibilities

  • Design and implement quantum algorithms for practical industrial applications
  • Lead cross-functional teams to integrate quantum solutions with classical computing systems
  • Publish groundbreaking research in peer-reviewed journals and industry conferences
  • Develop error-correction protocols for quantum hardware scalability
  • Collaborate with hardware teams to optimize quantum processor performance
  • Secure patents for novel quantum computing methodologies
  • Mentor junior researchers and foster innovation culture

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in top-tier quantum computing journals
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with superconducting or trapped-ion quantum systems
  • Strong background in linear algebra and complex analysis
  • Track record of translating theoretical concepts to practical solutions

Required Skills

Quantum Computing Qiskit Q# Algorithm Design Quantum Error Correction Superconducting Systems Linear Algebra Cryptography Machine Learning

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