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Quantum AI Research Scientist

FutureTech Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the future at FutureTech Labs, where quantum computing meets artificial intelligence. We're pioneering the next frontier of computational technology, and we need visionary minds to help us build the impossible. Join our elite team of researchers in San Francisco as we develop quantum neural networks that will revolutionize machine learning, cryptography, and materials science. This isn't just a job – it's your chance to solve problems that will define humanity's technological trajectory for decades to come.

We offer a state-of-the-art research environment with unlimited computational resources, collaboration with Nobel laureates, and the opportunity to publish groundbreaking research in top-tier journals. Your work will directly impact how we approach climate modeling, drug discovery, and secure communications in the 2030s.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for complex optimization problems
  • Develop hybrid quantum-classical neural architectures for real-world applications
  • Lead experimental validation of quantum AI prototypes on superconducting quantum processors
  • Collaborate with cross-functional teams to integrate quantum solutions into existing AI frameworks
  • Author peer-reviewed research papers and patents in quantum computing and AI
  • Mentor junior researchers and contribute to open-source quantum AI libraries
  • Stay at the forefront of quantum hardware advancements and adapt algorithms accordingly

Qualifications

  • PhD in Quantum Computing, Machine Learning, Physics, or Computer Science (or equivalent research experience)
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical AI frameworks
  • Published research in quantum machine learning or related quantum algorithms
  • Deep understanding of quantum error correction and fault-tolerant computing principles
  • Experience with high-performance computing clusters and quantum simulators
  • Strong background in linear algebra, probability theory, and computational complexity
  • Track record of translating theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq Neural Networks Quantum Algorithms Research Physics Linear Algebra High-Performance Computing

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