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Quantum AI Research Engineer

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the intersection of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Engineers to develop next-generation algorithms that will redefine computational paradigms in 2026 and beyond. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative environment where you'll work alongside Nobel laureates and industry pioneers. We offer competitive compensation, equity packages, and flexible work arrangements to support your innovative journey.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Develop hybrid quantum-classical computational frameworks for complex problem-solving
  • Lead research in quantum neural networks and optimization techniques
  • Collaborate with cross-functional teams to integrate quantum solutions into production systems
  • Author cutting-edge research papers and contribute to open-source quantum AI libraries
  • Mentor junior researchers and drive innovation in quantum algorithm development
  • Stay ahead of emerging quantum hardware capabilities and software ecosystems

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics with 3+ years industry experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Strong background in machine learning frameworks (TensorFlow, PyTorch) and classical optimization
  • Published research in quantum computing or AI at top-tier conferences (NeurIPS, QIP, etc.)
  • Proficiency with high-performance computing environments and parallel programming
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Excellent problem-solving skills with complex multi-variable systems

Required Skills

Quantum Computing Machine Learning Q# Qiskit Cirq TensorFlow PyTorch Quantum Algorithms High-Performance Computing

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