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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab, leveraging our $50M quantum infrastructure to solve humanity's most complex challenges in cryptography, drug discovery, and AI optimization. This role offers unparalleled opportunities to publish in Nature/Science journals and shape the quantum landscape for the next decade.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead cross-functional teams in prototyping quantum solutions for enterprise clients
  • Publish breakthrough research in top-tier scientific journals
  • Optimize quantum error correction protocols for fault-tolerant systems
  • Develop quantum machine learning frameworks for 2026-era AI models
  • Secure patents for proprietary quantum methodologies
  • Mentor junior researchers in quantum computing fundamentals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
  • Deep understanding of quantum error correction and fault tolerance
  • Published research in quantum computing or related fields
  • Expertise in Python, C++, and high-performance computing
  • Strong background in linear algebra and quantum information theory
  • Experience with quantum hardware (IBM, Rigetti, IonQ)

Required Skills

Quantum Computing Quantum Algorithms Machine Learning Physics Mathematics Python C++ Research Data Analysis

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