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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the future of technology at Nexus Innovations, where quantum computing meets real-world innovation. We're pioneering the next frontier of computational power, and we need visionary minds to help us unlock unprecedented breakthroughs. Join our elite research team in San Francisco, where you'll collaborate with Nobel laureates and industry pioneers to develop quantum algorithms that will redefine industries from pharmaceuticals to finance. We offer unparalleled resources, a collaborative environment, and the opportunity to leave your mark on the technological landscape of 2026 and beyond.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Lead cross-functional research initiatives in quantum error correction and qubit stability
  • Develop quantum machine learning models for predictive analytics and optimization
  • Collaborate with hardware teams to bridge theoretical research with practical quantum applications
  • Publish groundbreaking research in peer-reviewed journals and industry conferences
  • Mentor junior researchers and drive innovation in quantum computing methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of industry experience
  • Expertise in quantum algorithm design and quantum circuit optimization
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Demonstrated ability to publish high-impact research in quantum computing
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Excellent problem-solving skills and ability to work in fast-paced research environments

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Cirq Machine Learning Theoretical Physics Research Methodology

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