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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking 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 in our Austin innovation hub, leveraging cutting-edge hardware to solve humanity's most complex challenges.

Our culture thrives on intellectual curiosity and audacious thinking. You'll receive unlimited compute resources, a $20K annual innovation budget, and mentorship from quantum pioneers. This isn't just research—it's the blueprint for tomorrow's technological revolution.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for 2026-era applications
  • Lead cross-functional projects integrating quantum processors with classical AI frameworks
  • Publish groundbreaking research in top-tier journals/conferences (Nature, NeurIPS, etc.)
  • Develop error mitigation strategies for near-term quantum devices
  • Collaborate with hardware teams to co-design quantum-AI hybrid architectures
  • Secure $2M+ in government grants and industry partnerships

Qualifications

  • PhD in Quantum Computing, AI, or related field with 3+ years postdoc experience
  • Published research in quantum machine learning or quantum algorithms
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Expertise in deep learning frameworks (PyTorch, TensorFlow)
  • Experience with superconducting or photonic quantum systems
  • Proven track record of securing research funding
  • Strong background in linear algebra and quantum information theory

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Algorithms Qiskit Cirq PyTorch Research Scientific Innovation

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