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Quantum Computing Research Scientist

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

Job Description

Join Nexus Dynamics at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms and systems that will redefine computing paradigms. Our multidisciplinary team collaborates with NASA, IBM Research, and academic institutions to solve humanity's most complex challenges.

As part of our Innovation Accelerator Program, you'll lead breakthrough projects in quantum cryptography, error correction, and machine learning integration. We offer competitive equity packages, unlimited R&D budgets, and access to our state-of-the-art quantum lab featuring 128-qubit processors.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error mitigation techniques for scalable quantum systems
  • Collaborate with hardware teams to co-design quantum-classical hybrid architectures
  • Publish peer-reviewed research in Nature Physics/Science journals
  • Lead cross-functional projects with AI and cybersecurity divisions
  • Secure $1M+ in quantum computing grants from DARPA and NSF
  • Mentor PhD researchers in quantum information theory

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years developing quantum algorithms on real quantum hardware
  • Expertise in quantum error correction and fault tolerance
  • Published research in top-tier quantum computing conferences
  • Proficiency in Qiskit, Cirq, or similar quantum frameworks
  • Deep understanding of quantum machine learning principles
  • Security clearance eligibility for government partnerships
  • Experience with high-performance computing architectures

Required Skills

Quantum Computing Qiskit Quantum Algorithms Error Correction Quantum Machine Learning Cryptography Fault Tolerance High-Performance Computing

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