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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's quantum revolution. We're pioneering breakthroughs in quantum cryptography, AI-driven quantum simulations, and fault-tolerant computing systems. As a Quantum Computing Research Scientist, you'll architect next-gen algorithms that will redefine computational boundaries and solve previously impossible problems.

Our San Francisco hub features state-of-the-art quantum hardware, collaborative research pods, and direct partnerships with leading universities. You'll work alongside Nobel laureates and Turing Award winners in an environment where your ideas can reshape industries—from drug discovery to climate modeling.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols for scalable quantum systems
  • Create hybrid quantum-classical machine learning frameworks
  • Lead experimental validation on trapped-ion and superconducting qubit platforms
  • Collaborate with hardware teams to co-design quantum processors
  • Author peer-reviewed publications and secure NSF/NIH grants
  • Mentor postdoctoral researchers and PhD candidates

Qualifications

  • PhD in Quantum Physics, Computer Science, or Computational Mathematics
  • 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in Nature/Science or top-tier quantum computing conferences
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proficiency in Python, C++, and high-performance computing frameworks
  • Demonstrated ability to translate theoretical models into experimental implementations
  • Experience securing research funding through government grants

Required Skills

Quantum Computing Machine Learning Quantum Cryptography Qiskit Cirq Fault-Tolerant Systems Quantum Algorithms High-Performance Computing

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