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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Engineer

NeuroTech Solutions Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NeuroTech Solutions Inc. at the forefront of 2026's technological revolution! We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Engineer, you'll design and implement next-generation algorithms that push the boundaries of computational possibility. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative opportunities to transform theoretical concepts into real-world innovations.

We offer competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity. Shape the future of technology with us!

Responsibilities

  • Design and develop quantum algorithms for machine learning applications
  • Collaborate with cross-functional teams to integrate quantum solutions with AI systems
  • Conduct cutting-edge research in quantum error correction and optimization
  • Implement and test quantum computing prototypes on real hardware
  • Publish research findings in leading scientific journals
  • Mentor junior researchers and contribute to technical documentation
  • Stay current with emerging quantum AI standards and protocols

Qualifications

  • PhD in Quantum Computing, Computer Science, or related field
  • 3+ years of experience with quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in machine learning frameworks (TensorFlow, PyTorch)
  • Expertise in quantum circuit design and optimization techniques
  • Published research in quantum computing or quantum machine learning
  • Experience with high-performance computing environments
  • Strong problem-solving skills and ability to work in agile teams

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Qiskit Cirq TensorFlow Quantum Circuit Design High-Performance Computing

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