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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We seek a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape the future of computational intelligence while working in our state-of-the-art San Francisco innovation hub.

This role offers unparalleled opportunities to collaborate with Nobel laureates and industry pioneers, with competitive equity packages and flexible work arrangements. Your work will directly impact how humanity solves previously unsolvable challenges in medicine, climate science, and cryptography.

Responsibilities

  • Design and implement quantum algorithms leveraging advanced machine learning techniques
  • Lead cross-functional research teams in developing novel quantum neural network architectures
  • Translate theoretical quantum computing models into scalable production systems
  • Collaborate with hardware teams to optimize quantum AI applications on next-gen processors
  • Publish findings in top-tier journals and present at global AI/quantum conferences
  • Secure external funding through NSF and DARPA grant proposals

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
  • 3+ years in quantum algorithm development or advanced ML research
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published work in quantum machine learning or quantum information theory
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Experience with high-performance computing environments
  • Strong track record of translating research into practical applications

Required Skills

Quantum Computing Machine Learning Qiskit Q# Neural Networks High-Performance Computing Quantum Error Correction Python TensorFlow PyTorch

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