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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
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek a visionary Research Scientist to develop breakthrough algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate your research. Collaborate with Nobel laureates and industry pioneers while shaping the future of quantum information science. This role offers competitive equity, flexible work arrangements, and access to our exclusive innovation incubator program.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation challenges
  • Lead research on quantum error correction and fault-tolerant architectures
  • Develop novel quantum machine learning frameworks for predictive analytics
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure federal and private research funding through compelling proposals
  • Mentor junior researchers in quantum computing methodologies

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Publication record in top-tier quantum computing journals
  • Deep understanding of quantum decoherence and error mitigation
  • Experience with high-performance computing environments
  • Strong analytical skills with mathematical maturity
  • Excellent written and verbal communication abilities

Required Skills

Quantum Computing Algorithm Development Qiskit Cirq Quantum Error Correction Machine Learning High-Performance Computing Research Methodology

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