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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and solve previously unsolvable computational challenges. Our multidisciplinary team collaborates with Fortune 500 partners to transform industries from finance to healthcare through quantum innovation. Enjoy unparalleled resources, cutting-edge lab facilities, and the opportunity to shape the future of computational science.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning problems
  • Lead experimental research on quantum hardware systems in state-of-the-art cryogenic environments
  • Develop error correction protocols to advance quantum coherence and scalability
  • Collaborate with industry partners to commercialize quantum solutions for real-world applications
  • Publish groundbreaking research in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Physics, Computer Science, or related quantum field with 3+ years research experience
  • Proven expertise in quantum programming languages (Qiskit, Cirq) and quantum circuit design
  • Strong publication record in quantum computing or theoretical physics
  • Familiarity with quantum hardware platforms (superconducting qubits, ion traps)
  • Experience with high-performance computing environments and parallel processing
  • Demonstrated ability to translate theoretical concepts into practical applications
  • Exceptional problem-solving skills and innovative mindset

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Qiskit Cirq Superconducting Qubits Error Correction Machine Learning High-Performance Computing

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