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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art lab, where breakthrough innovations happen daily. Our team operates at the intersection of physics, computer science, and artificial intelligence, pushing the limits of what's possible in a post-quantum world.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental quantum computing projects using superconducting qubit platforms
  • Develop error correction techniques to achieve fault-tolerant quantum computation
  • Collaborate with hardware teams to co-design quantum processors and control systems
  • Publish high-impact research in top-tier journals and conferences
  • Secure and manage federal research grants for quantum initiatives
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoc experience
  • Proven expertise in quantum algorithm development and quantum circuit optimization
  • Hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong publication record in quantum computing or related fields
  • Familiarity with quantum hardware architectures (superconducting, trapped ion, photonic)
  • Demonstrated ability to secure competitive research funding
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Error Correction Q# Qiskit Machine Learning Research Methodology

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