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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer solutions for 2026. We seek a visionary Quantum AI Research Scientist to develop next-generation algorithms that bridge quantum computing and artificial intelligence. In this role, you'll collaborate with Nobel laureates and industry disruptors to create scalable quantum neural networks, design fault-tolerant quantum processors, and publish breakthrough research in Nature/Science journals. Our Austin headquarters features a $50M quantum lab with 300-qubit processors and offers unparalleled resources for experimental validation. This position includes equity grants, flexible remote work options, and dedicated R&D funding for your projects.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Lead cross-functional teams in prototyping quantum-AI hybrid systems
  • Develop error-correction protocols for large-scale quantum processors
  • Author peer-reviewed publications and patent novel quantum computing methodologies
  • Collaborate with hardware teams to optimize quantum circuit architectures
  • Mentor junior researchers and quantum computing interns
  • Secure $2M+ in annual research grants through NIH/NSF proposals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years of experience with quantum algorithms and Q# programming
  • Published research in quantum machine learning or quantum information theory
  • Proficiency in Python, TensorFlow, and quantum simulators (Qiskit/Cirq)
  • Demonstrated ability to secure federal research grants
  • Expertise in quantum error correction and fault-tolerant computing
  • Experience leading technical teams of 5+ researchers
  • Knowledge of post-quantum cryptography standards (NIST PQC project)

Required Skills

Quantum Computing Machine Learning Q# Python TensorFlow Qiskit Quantum Error Correction Fault-Tolerant Systems Research Leadership Grant Writing Post-Quantum Cryptography

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