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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek visionary Quantum Computing Research Scientists to develop groundbreaking algorithms and systems that will redefine computational boundaries. Collaborate with world-class teams in our state-of-the-art San Francisco facility, where innovation meets impact. This role offers unparalleled opportunities to shape the future of AI, cryptography, and complex system simulations.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum hardware performance and error correction protocols
  • Develop hybrid quantum-classical computing frameworks for enterprise solutions
  • Publish high-impact research in peer-reviewed journals and industry conferences
  • Mentor junior researchers and foster cross-functional collaboration with AI/ML teams
  • Secure and manage research grants from government and private sector partners
  • Translate theoretical models into scalable quantum computing architectures

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research with demonstrated publications
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
  • Strong background in quantum error correction and fault-tolerant systems
  • Proficiency in classical high-performance computing and parallel processing
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Track record of securing research funding or patents in quantum technologies
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Quantum Error Correction High-Performance Computing Machine Learning Cryptography Research Methodology

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