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Quantum AI Systems Engineer

Nexus Quantum Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Systems Engineers to architect, develop, and deploy revolutionary computational frameworks that will redefine industries by 2026. This role offers unparalleled opportunities to shape the future of human-machine collaboration in our state-of-the-art San Francisco Innovation Lab.

Why Nexus Quantum? We're not just building products—we're creating paradigms. Our cross-disciplinary teams combine quantum computing expertise with advanced AI/ML to solve previously impossible challenges. With 40% YoY growth and industry-leading R&D partnerships, you'll accelerate your career while contributing to humanity's technological leap forward.

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for optimization and machine learning applications
  • Develop fault-tolerant quantum circuit architectures integrated with classical neural networks
  • Lead prototyping of quantum neural processing units (QNPU) using superconducting qubit platforms
  • Collaborate with cross-functional teams to deploy quantum-enhanced AI solutions in cloud-native environments
  • Research and mitigate quantum decoherence effects in real-world computational scenarios
  • Create quantum machine learning frameworks compatible with existing AI infrastructure
  • Author technical whitepapers and patents for novel quantum-AI integration methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
  • Expertise in quantum circuit design and quantum error correction protocols
  • Proficiency in quantum programming languages (Qiskit, Cirq) and classical ML frameworks (PyTorch, TensorFlow)
  • Demonstrated experience with superconducting qubit platforms or photonic quantum processors
  • Strong background in distributed systems and high-performance computing architectures
  • Published research in quantum machine learning or quantum information theory
  • Certification in cloud quantum computing platforms (IBM Quantum, Amazon Braket)

Required Skills

Quantum Computing Machine Learning AI/ML Quantum Algorithms Qiskit Cirq Superconducting Qubits Quantum Error Correction Neural Networks Cloud Computing

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