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Quantum Computing Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of quantum revolution. We're pioneering next-gen computational paradigms that will redefine 2026's technological landscape. As a Quantum Computing Research Scientist, you'll develop cutting-edge algorithms and protocols to solve previously impossible problems in cryptography, material science, and artificial intelligence. Our state-of-the-art lab features 128-qubit processors and exclusive partnerships with leading academic institutions.

What You'll Achieve:

  • Design and implement quantum algorithms for real-world applications
  • Collaborate with Nobel laureates and industry pioneers
  • Secure 3+ patents annually through our rapid innovation pipeline
  • Present breakthrough findings at premier conferences like IEEE Quantum Week
  • Shape the future of quantum computing through our open-source initiatives

Responsibilities

  • Develop novel quantum algorithms targeting exponential speedups for NP-hard problems
  • Optimize error correction protocols for fault-tolerant quantum systems
  • Lead cross-functional projects with AI and materials science teams
  • Author peer-reviewed publications and technical documentation
  • Manage quantum hardware integration with classical computing stacks
  • Mentor junior researchers in quantum programming best practices
  • Secure government and industry grants for emerging quantum applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum information theory or quantum algorithms
  • Expertise in quantum error correction and fault tolerance techniques
  • Proficiency in high-performance computing and parallel processing
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with machine learning frameworks for quantum data analysis

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Error Correction Fault Tolerance High-Performance Computing Machine Learning Cryptography Linear Algebra Parallel Processing

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