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Quantum Computing Research Scientist

Innovatech Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Join Innovatech Labs at the forefront of the quantum revolution! We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms and solve humanity's most complex problems. As a pioneer in this cutting-edge field, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab. We offer unparalleled resources, competitive equity packages, and the freedom to explore uncharted scientific territories. Shape the future of computing while accelerating breakthroughs in cryptography, drug discovery, and AI.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum supremacy claims using IBM and Google quantum processors
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to co-design quantum processors with enhanced qubit stability
  • Publish breakthrough research in Nature/Science and present at IEEE Quantum Week
  • Mentor PhD candidates in quantum information theory
  • Secure $2M+ in DARPA/NSF grants for quantum computing initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (postdoc preferred)
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum error correction and fault tolerance protocols
  • Proficiency in Qiskit, Cirq, or equivalent quantum SDKs
  • Published research in top-tier quantum computing journals
  • Deep understanding of quantum entanglement and decoherence mechanisms
  • Experience with cryogenic quantum hardware systems
  • Strong track record of securing government research funding

Required Skills

Quantum Computing Quantum Algorithms Fault Tolerance Qiskit Cirq Quantum Error Correction Cryogenic Systems Machine Learning Cryptography Research

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