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Quantum AI Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing applications for artificial intelligence. Our Austin-based research center is assembling visionary scientists to develop next-generation algorithms that will redefine computational boundaries by 2026. You'll collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets practical AI implementation.

We offer unparalleled resources including access to quantum annealing hardware, 24/7 supercomputing clusters, and a $50M research fund. Your work will directly influence breakthroughs in cryptography, drug discovery, and climate modeling. Relocation assistance and equity grants included.

Responsibilities

  • Design and implement quantum machine learning algorithms for complex optimization problems
  • Lead cross-functional teams in prototyping quantum-AI hybrid systems
  • Publish breakthrough research in top-tier journals (Nature, Science, etc.)
  • Develop patentable methodologies for quantum error correction
  • Mentor PhD researchers in quantum computing fundamentals
  • Collaborate with government agencies on quantum security frameworks
  • Present findings at global tech summits (Web Summit, CES, etc.)

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
  • Published research in quantum machine learning or quantum cryptography
  • Expertise in Python, TensorFlow/PyTorch, and low-level quantum assembly
  • Deep understanding of quantum entanglement and superposition principles
  • Strong background in parallel computing architectures
  • Proven ability to translate theoretical models into functional prototypes
  • Security clearance eligibility preferred

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Cryptography Python TensorFlow Qiskit Cirq Theoretical Physics

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