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Quantum Computing Research Lead

Innovate Labs Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Innovate Labs Inc. at the forefront of 2026's technological revolution! We're seeking a visionary Quantum Computing Research Lead to pioneer breakthroughs that will redefine industries. As part of our elite Future Technologies Division, you'll drive quantum algorithm development, collaborate with Nobel laureates, and shape the next generation of computational paradigms. Our state-of-the-art San Francisco lab offers unparalleled resources for quantum experimentation, with competitive benefits including equity, flexible work arrangements, and continuous learning stipends.

Responsibilities

  • Lead quantum algorithm design and optimization for practical applications in cryptography and AI
  • Manage cross-functional teams of physicists and software engineers in quantum simulation projects
  • Publish research in top-tier journals and present at global quantum computing conferences
  • Develop patentable quantum solutions addressing real-world business challenges
  • Establish industry partnerships with quantum hardware providers and cloud platforms
  • Mentor junior researchers in quantum programming and experimental methodologies
  • Secure federal and private research funding through compelling proposals

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
  • Proven track record of quantum algorithm implementation on real quantum hardware
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in Nature/Science or equivalent peer-reviewed quantum computing papers
  • Strong background in quantum error correction and fault-tolerant systems
  • Experience securing $1M+ in research grants or venture funding
  • Deep knowledge of quantum machine learning applications

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Quantum Error Correction Machine Learning Cryptography Research Leadership

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