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Quantum AI Research Scientist

Innovate 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Innovate 2026 Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay, where your work will directly shape humanity's technological trajectory.

Our team operates at the intersection of quantum computing, machine learning, and theoretical physics to solve previously unsolvable challenges in cryptography, materials science, and climate modeling. We offer unparalleled resources including access to quantum annealing hardware, dedicated research budgets, and patent support for breakthrough innovations.

Responsibilities

  • Design and implement quantum machine learning algorithms leveraging IBM Quantum and D-Wave systems
  • Lead research initiatives in quantum neural networks and hybrid quantum-classical architectures
  • Develop novel error-correction techniques for quantum computing environments
  • Collaborate with hardware teams to optimize quantum circuit designs for real-world applications
  • Publish findings in top-tier journals (Nature, Science, IEEE) and present at global conferences
  • Secure government grants and corporate partnerships for advanced research projects
  • Mentor junior researchers in quantum computing principles and AI optimization strategies

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics with 3+ years of research experience
  • Proficiency in quantum programming languages (Qiskit, Q#, Cirq) and classical ML frameworks
  • Published record in quantum machine learning or quantum algorithms
  • Expertise in complex mathematical optimization and linear algebra
  • Experience with quantum hardware integration and error mitigation techniques
  • Strong background in AI/ML with demonstrated impact on real-world systems
  • Ability to translate theoretical concepts into practical implementations
  • Excellent written and verbal communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning Qiskit Q# Cirq Neural Networks Optimization Algorithms Cryptography Python TensorFlow PyTorch Research Methodology

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