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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. Our multidisciplinary team is building the next generation of computational infrastructure that will redefine industries. This role offers unparalleled opportunity to shape the future of technology while working with Nobel Prize-winning researchers and cutting-edge equipment.

We offer competitive compensation, equity packages, and a relocation package for top talent. Our state-of-the-art facility in San Francisco includes quantum labs, AI research centers, and collaborative workspaces designed to accelerate breakthrough discoveries.

Responsibilities

  • Design and implement quantum algorithms for real-world applications in cryptography and optimization
  • Lead experimental quantum computing projects using superconducting qubit systems
  • Collaborate with AI teams to develop hybrid quantum-classical machine learning models
  • Publish research in top-tier journals and present at international conferences
  • Secure and manage multi-million dollar research grants from government and industry partners
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years post-doctoral experience
  • Published research in quantum computing or quantum information theory
  • Expertise in quantum programming languages (Q#, Qiskit) and simulation tools
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Proven ability to secure and manage research funding
  • Strong background in machine learning and high-performance computing
  • Experience with cryogenic systems and quantum hardware integration

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Machine Learning Cryogenics Q# Research Grant Writing

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