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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Integration Specialist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join the vanguard of technological evolution at Nexus Future Labs, where we're pioneering the convergence of quantum computing and artificial intelligence. As a Quantum AI Integration Specialist, you'll architect next-gen systems that transcend classical computational boundaries. Our multidisciplinary team operates at the intersection of physics, machine learning, and advanced algorithms to solve humanity's most complex challenges.

We offer an unparalleled environment for innovation, with access to our proprietary quantum annealing infrastructure and AI research clusters. Your work will directly impact breakthroughs in materials science, optimization, and autonomous systems. We provide comprehensive benefits including equity, flexible work arrangements, and dedicated innovation time.

Responsibilities

  • Design and implement hybrid quantum-classical machine learning pipelines for enterprise-scale applications
  • Develop quantum algorithms optimized for real-time AI model training and inference
  • Collaborate with physicists to translate quantum phenomena into practical AI architectures
  • Create fault-tolerant error correction systems for quantum neural networks
  • Lead cross-functional teams in deploying quantum-AI solutions across healthcare, logistics, and finance
  • Research and prototype novel quantum-inspired optimization techniques
  • Document integration methodologies and publish findings in peer-reviewed journals

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field with 3+ years industry experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Proficiency in deep learning frameworks (PyTorch, TensorFlow) and high-performance computing
  • Strong background in quantum mechanics and quantum information theory
  • Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
  • Published research in quantum machine learning or quantum algorithms
  • Ability to translate complex quantum concepts into practical engineering solutions
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Q# Qiskit Cirq PyTorch High-Performance Computing Quantum Error Correction AI/ML Research Systems Architecture

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