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Quantum AI Research Scientist 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Scientists to architect next-generation systems that will redefine human-machine collaboration. In this pivotal role, you'll pioneer breakthroughs in quantum computing and artificial intelligence, working in our state-of-the-art facility with unparalleled resources. Our team operates at the intersection of theoretical physics and practical application, pushing boundaries that today seem impossible. We offer competitive equity packages, flexible work arrangements, and opportunities to publish groundbreaking research in partnership with MIT and Stanford.

Responsibilities

  • Design and implement quantum neural networks for advanced pattern recognition systems
  • Lead cross-functional teams in developing AI models with predictive capabilities beyond classical limits
  • Collaborate with quantum hardware engineers to optimize algorithm performance
  • Author white papers and patents for novel quantum-computing methodologies
  • Present findings at international conferences including IEEE Quantum Week
  • Mentor junior researchers in emerging quantum programming paradigms
  • Secure and manage multi-million dollar research grants from DARPA and NSF

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field with 5+ years industry experience
  • Published research in Nature/Science or equivalent tier journals
  • Proficiency in quantum programming languages (Q#, Qiskit) and classical ML frameworks
  • Demonstrated expertise in quantum error correction protocols
  • Experience with large-scale distributed computing environments
  • Strong background in theoretical physics and complex systems modeling
  • Ability to translate abstract concepts into practical engineering solutions

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Neural Networks Research AI Ethics

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