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Quantum Computing Research Scientist 2026

Nexus Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and hardware architectures that will redefine computational paradigms. Our interdisciplinary team collaborates with MIT and NASA to solve previously unsolvable challenges in cryptography, material science, and AI optimization.

This role offers unparalleled access to our $500M quantum lab and includes comprehensive benefits: equity grants, relocation assistance, and flexible hybrid work arrangements. Shape the future of technology while enjoying San Francisco's vibrant innovation ecosystem.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop novel quantum error correction protocols for fault-tolerant systems
  • Collaborate with hardware teams to prototype quantum processors at 300mK temperatures
  • Lead research publications in Nature/Science journals and present at IEEE Quantum Week
  • Mentor PhD interns from Stanford and Berkeley quantum programs
  • Translate theoretical models into practical implementations on superconducting qubits
  • Secure $2M+ in DARPA/NIST quantum research grants

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (2020-2026)
  • 3+ years of hands-on experience with quantum circuit design (Qiskit/Cirq)
  • Published research in top-tier quantum computing conferences
  • Expertise in quantum machine learning frameworks (PennyLane/Strawberry Fields)
  • Proficiency in cryogenic engineering and microwave control systems
  • Strong background in topological quantum computing concepts
  • Security clearance eligibility preferred

Required Skills

Quantum Computing Qiskit Cryogenics Quantum Algorithms Superconducting Qubits Topological Quantum Computing Machine Learning DARPA Grants

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