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Quantum Computing Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of quantum computing solutions. As a Quantum Computing Research Scientist, you'll collaborate with world-class teams to develop breakthrough algorithms and hardware systems that will redefine computational capabilities by 2026. We offer a dynamic, future-focused environment where your expertise will directly shape the trajectory of global technology.

What You'll Achieve: Lead cutting-edge research in quantum error correction, develop scalable quantum architectures, and publish groundbreaking findings in top-tier journals. Your work will accelerate our mission to achieve quantum advantage in cryptography, optimization, and machine learning.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Develop error-corrected qubit systems and quantum communication protocols
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Lead experimental validation of quantum supremacy in real-world applications
  • Publish research in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with 3+ years quantum research experience
  • Expertise in quantum circuit design and quantum programming languages (Q#, Cirq)
  • Proven track record of publishing high-impact quantum computing research
  • Strong background in quantum error correction and fault-tolerant architectures
  • Experience with quantum hardware platforms (superconducting, trapped ions, photonic)
  • Excellent analytical and problem-solving skills for complex quantum systems

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Q# Cirq Superconducting Qubits Quantum Simulation Machine Learning

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