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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for the 2026 landscape. We're seeking a visionary Quantum Computing Research Scientist to architect next-gen algorithms and redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop fault-tolerant quantum systems, pushing the limits of artificial intelligence, cryptography, and material science. Our state-of-the-art lab in San Francisco offers unparalleled resources—including a 1000-qubit quantum processor—to accelerate your breakthroughs. This is more than a job; it's your chance to shape the digital future.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems in AI and cryptography
  • Lead experimental research on quantum error correction and coherence enhancement
  • Develop hybrid quantum-classical computing frameworks for enterprise applications
  • Collaborate with hardware teams to prototype quantum processors with 1000+ qubits
  • Publish findings in Nature/Science journals and present at IEEE Quantum Week
  • Mentor postdoctoral researchers and drive quantum computing curriculum development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (postdoc preferred)
  • 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, Quil)
  • Published research in top-tier journals on quantum algorithms or hardware
  • Expertise in quantum error correction codes and fault-tolerant architectures
  • Proficiency in Python, TensorFlow, and high-performance computing frameworks
  • Deep understanding of quantum machine learning and variational algorithms

Required Skills

quantum computing quantum algorithms Qiskit Cirq quantum error correction quantum machine learning fault tolerance cryptography high-performance computing

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