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Quantum Computing Research Scientist 2026

InnovateTech Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join InnovateTech Labs at the forefront of technological evolution! We're pioneering quantum computing breakthroughs that will redefine 2026's digital landscape. As a Quantum Computing Research Scientist, you'll develop next-gen algorithms, collaborate with Nobel laureates, and shape the future of computation. Our state-of-the-art facility offers unparalleled resources for exploring quantum supremacy, error correction, and hybrid quantum-classical systems.

We value bold thinkers who thrive in ambiguity. You'll receive equity grants, unlimited learning stipends, and dedicated research time to pursue revolutionary ideas. This isn't just a jobβ€”it's your chance to build the computational foundations of tomorrow.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experimental quantum computing projects using superconducting and photonic platforms
  • Develop error mitigation techniques for near-term quantum devices
  • Collaborate with AI teams to create quantum-ML hybrid frameworks
  • Publish research in top-tier journals and present at IEEE Quantum Week
  • Secure research grants from DARPA and NSF initiatives
  • Mentor junior researchers in quantum information theory

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information with 3+ years research experience
  • Expertise in quantum circuit design and quantum programming languages (Q#, Cirq)
  • Proven track record of publications in Nature/Science journals
  • Strong background in quantum error correction and fault tolerance
  • Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
  • Proficiency in Python, TensorFlow, and high-performance computing
  • Ability to translate theoretical concepts into experimental implementations

Required Skills

Quantum Computing Q# Cirq Quantum Algorithms Machine Learning Python TensorFlow Quantum Error Correction Superconducting Qubits

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