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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and hardware interfaces that will redefine computational boundaries. Our multidisciplinary team operates at the intersection of physics, computer science, and AI, with access to cutting-edge quantum processors and $50M+ in R&D funding. Benefit from our partnership with Stanford Quantum Lab and collaborate with Nobel laureates while shaping the future of secure communications, drug discovery, and artificial intelligence.

Why Nexus Labs? We offer competitive equity packages, unlimited PTO, on-site wellness centers, and relocation assistance for top talent. Our culture values intellectual curiosity and breakthrough thinking above all else.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols to improve qubit stability in 50+ qubit systems
  • Collaborate with hardware engineers to co-design quantum-classical hybrid architectures
  • Lead research on quantum machine learning frameworks for 2026-era AI applications
  • Publish findings in top-tier journals (Nature, Science, Physical Review X) and secure patents
  • Mentor junior researchers and contribute to open-source quantum computing frameworks
  • Secure $2M+ in annual research grants through NSF and DARPA proposals

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum algorithms or quantum error correction
  • Expertise in quantum circuit optimization and fault-tolerant computing principles
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with high-performance computing clusters (HPC) and GPU acceleration
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Preferred: Experience with superconducting or photonic quantum platforms

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Error Correction Machine Learning HPC Linear Algebra Circuit Optimization

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