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2026 Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Research Scientist, you'll architect next-gen algorithms that solve previously impossible problems in cryptography, materials science, and climate modeling. Our state-of-the-art facility offers unparalleled resources and collaborative freedom to transform theoretical concepts into real-world breakthroughs.

Benefits include equity grants, unlimited PTO, and exclusive access to our quantum computing cluster. This role reports directly to our Chief Quantum Officer and offers rapid career advancement in humanity's most transformative industry.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era applications
  • Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
  • Publish breakthrough research in top-tier journals and industry conferences
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Develop proprietary error-correction protocols for fault-tolerant quantum systems
  • Secure $5M+ in government and private research grants

Qualifications

  • PhD in Quantum Computing, AI, or related field with 5+ years research experience
  • Proven track record of publishing in Nature/Science or equivalent tier journals
  • Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
  • Experience with quantum hardware providers (IBM, Rigetti, IonQ)
  • Strong background in theoretical computer science or physics

Required Skills

Quantum Computing Machine Learning Python TensorFlow Qiskit Fault-Tolerant Systems Algorithm Design Research High-Performance Computing

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