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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Engineer

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking visionary Quantum AI Research Engineers to transform theoretical models into real-world applications that will redefine computing paradigms. Our Austin-based lab operates at the intersection of quantum mechanics, artificial intelligence, and next-generation neural networks, offering unparalleled resources to push the boundaries of what's possible.

This role offers the unique opportunity to collaborate with Nobel laureates and industry disruptors while working in a state-of-the-art facility equipped with quantum processors and AI supercomputing clusters. We provide comprehensive benefits including equity, flexible work arrangements, and dedicated R&D budgets for groundbreaking projects.

Responsibilities

  • Design and implement quantum algorithms leveraging machine learning architectures for 2026-era computing challenges
  • Develop hybrid quantum-classical neural networks to solve previously intractable optimization problems
  • Lead cross-functional research initiatives in quantum error correction and AI interpretability
  • Author peer-reviewed publications and patent applications for quantum-AI breakthroughs
  • Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
  • Mentor junior researchers and contribute to open-source quantum-AI frameworks
  • Present findings at premier conferences (IEEE Quantum Week, NeurIPS, etc.)

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field with 3+ years industry experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
  • Published research in quantum machine learning or quantum information theory
  • Proficiency in quantum circuit design and quantum algorithm optimization
  • Demonstrated experience with high-performance computing environments and distributed systems
  • Strong background in linear algebra, probability theory, and quantum mechanics
  • Track record of translating theoretical concepts into practical implementations
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Quantum Computing Machine Learning Python Qiskit PyTorch Quantum Algorithms Research AI/ML Quantum Error Correction Neural Networks

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