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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking a visionary Research Scientist to architect next-gen quantum systems that will redefine computational paradigms. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility, leveraging cutting-edge hardware and AI-driven frameworks to solve humanity's most complex challenges.

Our cross-functional teams work in agile sprints to develop fault-tolerant quantum processors, optimize quantum algorithms for real-world applications, and publish groundbreaking research in top-tier journals. We offer competitive equity packages, flexible work arrangements, and unlimited access to our quantum simulation labs.

Responsibilities

  • Design and implement quantum algorithms for cryptography optimization and drug discovery
  • Lead development of error-correction protocols for scalable quantum processors
  • Collaborate with hardware teams to calibrate quantum coherence metrics
  • Publish peer-reviewed research in Nature/Science journals
  • Mentor junior researchers in quantum information theory
  • Develop hybrid quantum-classical machine learning frameworks
  • Secure $2M+ in annual research grants and partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of hands-on quantum algorithm development
  • Expertise in Qiskit, Cirq, or similar quantum programming frameworks
  • Published research in quantum error correction or topological computing
  • Proficiency in Python, C++, and quantum circuit simulation tools
  • Experience with high-performance computing clusters
  • Demonstrated ability to secure government/industry research funding

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Cryptography Machine Learning High-Performance Computing Research Methodology

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