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Quantum AI Research Scientist

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As our Quantum AI Research Scientist, you'll architect next-generation algorithms merging quantum mechanics with artificial intelligence to solve humanity's grandest challenges.

Why Nexus? We offer unparalleled resources for groundbreaking research, including access to quantum annealing clusters, NVIDIA's latest quantum-accelerated GPUs, and a culture where your ideas shape tomorrow's reality. Our cross-disciplinary teams collaborate in state-of-the-art labs overlooking the Bay.

Responsibilities

  • Design and implement quantum machine learning algorithms for optimization and pattern recognition
  • Lead hybrid quantum-classical AI system development for real-world applications
  • Publish peer-reviewed research in top-tier journals/conferences (Nature, NeurIPS, etc.)
  • Collaborate with hardware teams to optimize quantum circuit implementations
  • Mentor junior researchers and drive innovation through weekly hackathons
  • Secure $1M+ in annual research grants from NSF/DARPA/industry partners

Qualifications

  • PhD in Quantum Computing, AI, or Physics with 3+ years postdoc experience
  • Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
  • Proficiency in Python/C++ with quantum frameworks (Qiskit, Cirq, PennyLane)
  • Published research in quantum machine learning or quantum supremacy
  • Strong background in tensor networks and quantum error correction
  • Experience with superconducting qubits or photonic quantum systems
  • Track record of translating theoretical research into scalable prototypes

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit Cirq Tensor Networks Superconducting Qubits Quantum Error Correction Research Grant Writing

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