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Quantum Computing Research Scientist (2026 Vision)

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join the forefront of technological revolution at QuantumLeap Innovations as we pioneer the quantum frontier of 2026. We're seeking a visionary Quantum Computing Research Scientist to architect next-gen solutions that will redefine computational paradigms. This is your opportunity to shape the future of AI, cryptography, and molecular modeling in a hyper-advanced ecosystem where theoretical physics meets real-world application.

Our multidisciplinary team operates at the intersection of quantum mechanics, machine learning, and sustainable technology. You'll collaborate with Nobel laureates and Silicon Valley disruptors in our state-of-the-art quantum labs, working with cutting-edge hardware from partners like IBM, Google, and Rigetti. We offer unparalleled resources, flexible work arrangements, and a culture where your breakthrough ideas become tomorrow's innovations.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems in logistics, drug discovery, and climate modeling
  • Lead experimental quantum computing projects using superconducting qubits and trapped-ion systems
  • Develop error mitigation protocols for quantum circuits operating at 99.9% fidelity
  • Collaborate with AI teams to hybridize quantum-classical machine learning frameworks
  • Publish groundbreaking research in Nature Physics/Science and present at IEEE Quantum Week
  • Mentor junior researchers in quantum information theory and hardware-software co-design
  • Secure $2M+ in government grants (DARPA, NSF) and industry partnerships

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoc experience
  • Published research in top-tier journals (Nature, Science, PRL) on quantum algorithms
  • Proficiency in Qiskit, Cirq, or Q# with 50+ GitHub repositories demonstrating quantum projects
  • Expertise in quantum error correction codes (surface, color, LDPC)
  • Experience with cryogenic quantum hardware calibration protocols
  • Strong background in quantum machine learning and variational algorithms
  • Track record of securing research funding and leading cross-functional teams

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Error Correction Cryogenic Systems Machine Learning Research PhD

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