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2026 Quantum AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. As a 2026 Quantum AI Research Scientist, you'll architect groundbreaking solutions that redefine computational boundaries in fields from healthcare to climate modeling. Our state-of-the-art lab in San Francisco's innovation district offers unparalleled resources for transforming theoretical concepts into real-world breakthroughs.

We seek visionaries who thrive at the intersection of quantum mechanics and artificial intelligence. This role offers competitive equity, flexible hybrid work arrangements, and dedicated R&D budget for your experimental projects. Help us build the future today.

Responsibilities

  • Design and implement quantum neural network architectures for next-gen AI systems
  • Lead cross-functional teams in developing quantum-resistant encryption protocols
  • Author peer-reviewed research publications on quantum-AI convergence
  • Collaborate with industry partners to commercialize quantum computing applications
  • Develop proprietary algorithms for quantum machine learning acceleration
  • Present findings at international conferences and secure research grants
  • Mentor junior researchers in quantum computing best practices

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum circuit design (Qiskit, Cirq)
  • Publication record in top-tier AI/quantum journals (Nature, Science, etc.)
  • Expertise in tensor networks and quantum error correction techniques
  • Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
  • Demonstrated ability to translate complex theories into practical implementations
  • Experience securing government or corporate research funding

Required Skills

Quantum Computing AI/ML Tensor Networks Qiskit Cryptography High-Performance Computing Python TensorFlow Research

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