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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
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 a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in cryptography, materials science, and AI optimization.

Our state-of-the-art lab features quantum annealers, superconducting processors, and cryogenic systems. You'll receive unparalleled resources including a $50M research budget and access to our proprietary quantum cloud platform. We offer competitive equity packages and flexible hybrid work arrangements to support optimal innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems
  • Develop error-correction protocols to enhance quantum decoherence mitigation
  • Lead cross-functional teams in prototyping quantum machine learning models
  • Author peer-reviewed publications and patent quantum computing methodologies
  • Collaborate with hardware teams to co-design quantum processor architectures
  • Mentor junior researchers and publish breakthrough findings in Nature/Science

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Published research in quantum information theory or topological computing
  • Expertise in linear algebra, probability theory, and complex analysis
  • Proficiency in Python with scientific computing libraries (NumPy, SciPy)
  • Demonstrated ability to optimize quantum circuit performance
  • Strong background in quantum error correction and fault tolerance

Required Skills

Quantum Computing Qiskit Cirq Machine Learning Cryptography Superconducting Circuits Python Linear Algebra Error Correction

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