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Quantum Computing Research Scientist

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of the 2026 technological revolution. We're pioneering the next era of quantum computing and seek a visionary Research Scientist to architect breakthrough solutions that will reshape industries worldwide. This role offers unparalleled opportunities to work with cutting-edge quantum hardware and collaborate with Nobel laureates in our state-of-the-art San Francisco lab. If you're driven to solve humanity's most complex computational challenges, this is your moment to leave an indelible mark on the future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead cross-functional teams in developing quantum error correction protocols
  • Collaborate with hardware engineers to optimize quantum gate operations
  • Secure $5M+ in research grants and publish 3+ high-impact papers annually
  • Architect quantum-resistant cybersecurity frameworks for Fortune 500 clients
  • Mentor PhD candidates in quantum information theory
  • Present findings at premier international conferences (QIP, IEEE Quantum Week)

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years of research experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum simulators
  • Published record in Nature/Science or top-tier quantum computing journals
  • Proficiency in tensor network algorithms and quantum circuit optimization
  • Strong background in quantum error correction and fault-tolerant architectures
  • Demonstrated ability to secure federal and corporate research funding
  • Experience with superconducting and photonic quantum computing platforms

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Quantum Machine Learning Quantum Cryptography Research Leadership Grant Writing Tensor Networks

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