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Research and Development 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 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 visionary Research Scientists to decode quantum algorithms, architect next-gen hardware architectures, and solve humanity's most complex challenges. Our state-of-the-art lab offers unparalleled resources and collaborative freedom to push computational boundaries.

As part of our Quantum Future Division, you'll contribute to breakthroughs in cryptography, AI optimization, and molecular modeling while working alongside Nobel laureates and industry pioneers. We offer competitive equity packages, flexible hybrid work, and dedicated R&D budgets for your experimental projects.

Responsibilities

  • Design and implement quantum algorithms for practical industrial applications
  • Lead hardware-software co-design for quantum processors
  • Develop error mitigation protocols for scalable quantum systems
  • Collaborate with cross-functional teams to integrate quantum solutions
  • Publish peer-reviewed research and present at international conferences
  • Secure patents for novel quantum methodologies
  • Mentor junior researchers and interns in quantum principles

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Deep understanding of quantum error correction and fault tolerance
  • Strong publication record in quantum computing or theoretical physics
  • Experience with cryogenic systems or quantum hardware integration
  • Expertise in high-performance computing environments

Required Skills

Quantum Computing Quantum Algorithms Quantum Hardware Cryogenics Qiskit Cirq Quantum Error Correction High-Performance Computing Theoretical Physics Machine Learning

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