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Quantum AI Research Lead

NexusLabs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NexusLabs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems to solve humanity's most complex challenges. As our Quantum AI Research Lead, you'll architect next-gen computational frameworks that blend quantum supremacy with adaptive machine learning. Our San Francisco hub offers unparalleled resources to transform theoretical breakthroughs into real-world solutions across healthcare, climate modeling, and cryptography.

At NexusLabs, we cultivate an environment where audacious innovation thrives. You'll collaborate with Nobel laureates and MIT PhDs in our state-of-the-art labs, pushing boundaries that today seem impossible. Our commitment to ethical AI development ensures your work aligns with humanity's best interests while delivering exponential returns.

Responsibilities

  • Design and implement quantum neural network architectures for 2026-era problem domains
  • Lead cross-functional teams of quantum physicists and ML engineers to prototype revolutionary algorithms
  • Develop error-correction protocols enabling fault-tolerant quantum computation at scale
  • Translate theoretical quantum computing concepts into deployable industrial applications
  • Secure $10M+ in research grants through compelling proposals demonstrating commercial viability
  • Mentor PhD researchers while publishing breakthrough findings in Nature/Science journals
  • Collaborate with ethics council to establish quantum-AI governance frameworks

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Machine Learning from top-tier institution
  • 5+ years of hands-on experience with quantum programming (Q#, Cirq) and tensor networks
  • Published research in quantum machine learning or quantum error correction
  • Expertise in NISQ-era hardware limitations and mitigation strategies
  • Proven track record leading $5M+ research initiatives with measurable outputs
  • Deep understanding of quantum supremacy thresholds and post-quantum cryptography
  • Exceptional ability to communicate complex quantum concepts to technical and non-technical stakeholders

Required Skills

Quantum Computing Machine Learning Python Q# Cirq TensorFlow PyTorch Quantum Error Correction Neural Networks Research Leadership

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