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Quantum Computing Research Scientist 2026

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next era of quantum computing. We're seeking visionary Quantum Computing Research Scientists to architect breakthrough solutions that will redefine industries by 2026. This is your chance to shape the future of computation in a collaborative, cutting-edge environment where innovation meets execution.

Responsibilities

  • Lead quantum algorithm development for practical applications in cryptography, optimization, and machine learning
  • Design and implement error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to bridge theoretical models with physical quantum processors
  • Develop quantum simulation frameworks for complex molecular and material science problems
  • Publish groundbreaking research in top-tier quantum computing journals and conferences
  • Mentor junior researchers and contribute to our 2026 quantum roadmap
  • Secure patents and intellectual property for novel quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Expertise in quantum algorithms, quantum information theory, and quantum error correction
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
  • Strong background in high-performance computing and parallel processing
  • Proven track record of publishing peer-reviewed quantum computing research
  • Experience with quantum hardware architectures and qubit technologies
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Passion for solving complex problems at the intersection of physics and computer science

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq High-Performance Computing Quantum Cryptography Machine Learning Theoretical Physics

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