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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. This role offers the unique opportunity to shape the next generation of computational paradigms in our state-of-the-art San Francisco facility. You'll collaborate with Nobel laureates and industry disruptors to develop quantum algorithms that solve previously impossible challenges in cryptography, materials science, and artificial intelligence. Our hybrid work environment combines cutting-edge lab research with collaborative digital workspaces, offering unparalleled flexibility while maintaining deep technical rigor.

Responsibilities

  • Design and implement quantum algorithms for real-world applications in machine learning and optimization
  • Lead cross-functional teams in prototyping quantum hardware-software interfaces
  • Publish breakthrough research in top-tier journals and industry whitepapers
  • Develop quantum-resistant cryptographic protocols for next-gen security systems
  • Mentor junior researchers in quantum mechanics and computational theory
  • Secure patents for novel quantum computing methodologies
  • Partner with Fortune 500 companies to implement quantum solutions

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science from Tier-1 institution
  • 5+ years of hands-on experience with quantum programming languages (Q#, Qiskit)
  • Published research in Nature/Science journals or equivalent
  • Expertise in quantum error correction and fault-tolerant systems
  • Proficiency with cryogenic quantum hardware environments
  • Strong background in linear algebra and computational complexity
  • Proven track record of translating theory to commercial applications
  • Experience with cloud-based quantum computing platforms (AWS Braket, IBM Quantum)

Required Skills

Quantum Computing Q# Qiskit Cryptography Machine Learning Cryogenic Engineering Algorithm Design Fault-Tolerance Linear Algebra Computational Complexity

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