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Quantum Computing Engineer

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the future of computing by pioneering quantum solutions that will redefine industries by 2026. Join our elite team at Nexus Quantum Dynamics, where we're building the next generation of quantum processors and algorithms. This role offers unparalleled opportunities to work with cutting-edge hardware and contribute to breakthroughs in cryptography, materials science, and AI optimization.

We offer a dynamic, collaborative environment with state-of-the-art facilities, competitive equity packages, and comprehensive benefits including flexible work arrangements and professional development stipends.

Responsibilities

  • Design and implement quantum algorithms for real-world applications in finance, healthcare, and logistics
  • Collaborate with hardware teams to optimize quantum circuit performance on next-gen processors
  • Develop error correction protocols to achieve fault-tolerant quantum systems
  • Lead research initiatives in quantum machine learning and hybrid classical-quantum workflows
  • Create technical documentation and contribute to open-source quantum frameworks
  • Mentor junior engineers and present findings at industry conferences

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Experience with superconducting qubit platforms or photonic quantum systems
  • Published research in quantum computing or demonstrated technical leadership
  • Ability to translate complex quantum concepts into actionable engineering solutions
  • Proven track record of delivering quantum algorithms on real hardware

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Superconducting Qubits Quantum Error Correction Machine Learning Linear Algebra Quantum Mechanics

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