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Quantum AI Research Scientist

InnovateX Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join InnovateX Labs, a pioneer in quantum computing and AI fusion, as we redefine technological frontiers in 2026. We're seeking a visionary Quantum AI Research Scientist to architect next-generation algorithms that will power the world's most advanced computing systems. This role sits at the intersection of quantum mechanics, machine learning, and applied physics, offering unparalleled opportunities to shape humanity's digital future.

Our San Francisco campus features state-of-the-art quantum processors and collaborative research spaces where you'll work alongside Nobel laureates and Turing Award winners. We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements for exceptional candidates.

Responsibilities

  • Design and implement quantum machine learning algorithms for optimization and pattern recognition
  • Develop novel quantum neural network architectures leveraging 2026-era qubit technologies
  • Collaborate with hardware teams to co-design quantum processors compatible with AI workloads
  • Lead research initiatives in quantum-enhanced natural language processing and computer vision
  • Publish breakthrough findings in top-tier journals and present at international conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure external funding through NSF and DARPA grant proposals

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Theoretical Physics with 3+ years industry experience
  • Proven expertise in quantum circuit design and error correction methodologies
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Strong publication record in Nature/Science or equivalent high-impact journals
  • Deep understanding of tensor networks and quantum variational algorithms
  • Experience with large-scale distributed computing systems
  • Track record of translating theoretical research into practical applications

Required Skills

Quantum Computing Machine Learning Qiskit Python C++ TensorFlow PyTorch Quantum Error Correction Tensor Networks

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