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Quantum AI Research Engineer

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. As we approach 2026, we seek visionary Quantum AI Research Engineers to architect hybrid quantum-neural systems that will redefine computational boundaries. This role offers unparalleled access to our cutting-edge quantum annealing infrastructure and collaborative partnerships with leading AI research institutes. You'll drive breakthroughs in quantum machine learning algorithms, error correction methodologies, and real-time quantum data processing pipelines.

Our San Francisco campus features state-of-the-art quantum labs, dedicated AI training clusters, and a vibrant innovation ecosystem. We offer competitive equity packages, flexible hybrid work arrangements, and continuous learning opportunities through our Quantum Academy. Be part of the team shaping 2026's technological landscape today.

Responsibilities

  • Design and implement hybrid quantum-classical AI algorithms for optimization problems
  • Develop error mitigation protocols for quantum machine learning models
  • Create real-time quantum data processing pipelines for enterprise applications
  • Collaborate with hardware teams to optimize quantum annealing parameters
  • Lead research publications in quantum-AI convergence domains
  • Mentor junior researchers in quantum computing methodologies
  • Translate theoretical quantum algorithms into practical implementations

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Expertise in machine learning frameworks (PyTorch, TensorFlow) and classical optimization
  • Published research in quantum computing or quantum machine learning
  • Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
  • Strong background in linear algebra, probability theory, and information theory
  • Ability to translate complex quantum concepts into actionable engineering solutions

Required Skills

Quantum Computing Machine Learning Qiskit Cirq PyTorch Quantum Error Correction AI Algorithms Research

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