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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Labs 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 and architectures that will redefine computational paradigms. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab, pushing the boundaries of what's possible in quantum mechanics, machine learning, and cryptography. Your work will directly impact breakthroughs in drug discovery, climate modeling, and AI optimization.

We offer competitive compensation, equity packages, and unparalleled resources to accelerate your research. Our culture celebrates intellectual curiosity and provides flexible work arrangements to maximize your creative potential.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Lead experimental validation of quantum systems using superconducting qubits
  • Collaborate with AI teams to develop hybrid quantum-classical machine learning frameworks
  • Publish findings in top-tier journals and present at international conferences
  • Secure federal and private research grants for quantum initiatives
  • Mentor junior researchers and contribute to patent development
  • Participate in cross-functional projects with cryptography and materials science divisions

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum error correction or fault-tolerant systems
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated ability to secure research funding ($500K+ preferred)
  • Experience with quantum hardware platforms (IBM, Rigetti, or IonQ)
  • Strong background in linear algebra, quantum mechanics, and complexity theory

Required Skills

Quantum Computing Qiskit Cirq Machine Learning Cryptography High-Performance Computing Python C++ Fault-Tolerant Systems Research Methodology

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