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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
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum computing solutions that will redefine industries by the end of this decade. As a Quantum Computing Researcher, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum algorithms and error-correction protocols. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research, including access to 512-qubit processors and dedicated quantum annealing arrays. We offer competitive equity packages, unlimited learning stipends, and flexible remote work options for top-tier talent.

Responsibilities

  • Design and implement quantum algorithms for optimization problems in logistics and finance
  • Develop novel error-correction techniques for fault-tolerant quantum systems
  • Collaborate with hardware teams to bridge quantum software-hardware interfaces
  • Publish research in leading journals and present at international quantum conferences
  • Mentor junior researchers in quantum programming frameworks like Qiskit and Cirq
  • Partner with Fortune 500 companies to prototype quantum solutions for real-world challenges

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum circuit design
  • Proficiency in quantum programming languages (Q#, Python with Qiskit)
  • Publication record in quantum information science or related fields
  • Experience with quantum annealing systems (D-Wave, etc.)
  • Strong background in linear algebra, probability theory, and statistical mechanics
  • Ability to translate complex quantum concepts into business applications

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Q# Machine Learning Linear Algebra Statistical Mechanics

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