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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and solve previously impossible computational challenges. Our interdisciplinary team collaborates with Fortune 500 partners to transform industries from healthcare to finance.

Located in San Francisco's innovation district, you'll work in our state-of-the-art quantum lab with cutting-edge hardware and collaborate with Nobel laureates. We offer competitive equity, flexible hybrid work, and a comprehensive benefits package including unlimited learning stipends.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead research initiatives in quantum error correction and fault-tolerant computing
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Publish breakthrough research in top-tier journals and conferences
  • Develop quantum machine learning frameworks for commercial applications
  • Secure external funding through government grants and industry partnerships
  • Mentor junior researchers and lead cross-functional project teams

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Publication record in quantum computing or quantum information theory
  • Strong background in linear algebra, probability, and computational complexity
  • Demonstrated experience with quantum simulation frameworks
  • Excellent problem-solving skills and ability to communicate complex concepts

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Machine Learning Python Linear Algebra Research Fault-Tolerant Computing

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