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Quantum AI Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. As a Quantum AI Research Scientist in 2026, you'll pioneer the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. Our multidisciplinary team operates at the intersection of physics, machine learning, and computational theory, developing next-generation systems that will redefine computational boundaries.

We offer a dynamic environment where curiosity meets cutting-edge resources. You'll collaborate with Nobel laureates and industry disruptors while leveraging our state-of-the-art quantum annealing facilities and AI superclusters. This role represents a rare opportunity to shape the technological landscape of the coming decade.

Responsibilities

  • Design and implement quantum machine learning algorithms for optimization problems
  • Develop hybrid quantum-classical neural network architectures
  • Lead research initiatives in quantum error correction and fault tolerance
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Publish breakthrough research in top-tier journals and industry conferences
  • Mentor junior researchers and contribute to our innovation pipeline

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum circuit design
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python-based ML frameworks
  • Published record in quantum information science or AI research
  • Deep understanding of quantum decoherence and noise mitigation strategies
  • Experience with high-performance computing and distributed systems

Required Skills

Quantum Computing Machine Learning AI Research Quantum Algorithms Python C++ Qiskit TensorFlow Physics High-Performance Computing

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