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Quantum AI Researcher

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as a Quantum AI Researcher. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers the opportunity to work in our state-of-the-art quantum lab, collaborating with Nobel laureates and industry pioneers to develop next-generation AI systems that will reshape industries.

We're seeking visionary researchers who thrive at the intersection of quantum mechanics and machine learning. You'll contribute to groundbreaking projects in quantum neural networks, error-corrected AI, and quantum-secure cryptography. Our team operates with complete autonomy and resources to explore uncharted territories of computational intelligence.

Nexus Labs offers unparalleled benefits including unlimited research funding, flexible work arrangements, and equity in our rapidly growing quantum ecosystem. Help us build the intelligent infrastructure of tomorrow.

Responsibilities

  • Design and implement quantum algorithms for advanced AI applications
  • Develop error-corrected quantum neural network architectures
  • Lead cross-functional teams in quantum-secure AI system development
  • Publish groundbreaking research in top-tier quantum computing journals
  • Collaborate with hardware teams to optimize quantum-AI hybrid systems
  • Identify and commercialize quantum AI applications for healthcare and finance
  • Mentor junior researchers and contribute to our quantum curriculum

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of experience in quantum algorithm development
  • Published research in quantum machine learning or related fields
  • Proficiency in quantum programming languages (Q#, Qiskit)
  • Expertise in quantum error correction techniques
  • Strong background in deep learning frameworks (TensorFlow, PyTorch)
  • Experience with quantum hardware (IBM Q, Rigetti, IonQ)
  • Demonstrated ability to translate theoretical concepts into practical solutions

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Error Correction Q# Qiskit TensorFlow PyTorch Quantum Hardware AI Research

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