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Quantum AI Research Scientist 2026

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that redefine computational boundaries in our state-of-the-art San Francisco lab.

Our interdisciplinary team collaborates with MIT, Caltech, and NASA to transform theoretical physics into practical applications. This role offers unparalleled resources—including our 512-qubit quantum simulator—and the autonomy to publish groundbreaking research while developing commercializable quantum solutions.

Responsibilities

  • Design and implement hybrid quantum-classical machine learning frameworks for optimization problems
  • Lead development of error-correction protocols for fault-tolerant quantum computing systems
  • Collaborate with hardware engineers to co-design quantum processors tailored for AI workloads
  • Author peer-reviewed publications and patent disclosures for novel quantum algorithms
  • Mentor cross-functional teams in quantum-computing best practices
  • Secure $1M+ in government/private research grants for 2026 initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent research experience)
  • 3+ years developing quantum algorithms or quantum machine learning models
  • Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
  • Publication record in Nature/Science or top-tier conference proceedings
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Expertise in Python, TensorFlow, and high-performance computing systems
  • Clearance for DOE/NIST quantum security protocols preferred

Required Skills

Quantum Computing Machine Learning Qiskit TensorFlow Quantum Algorithms Fault-Tolerant Systems High-Performance Computing Research Methodology

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