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Quantum AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-powered AI systems. Our multidisciplinary team is developing breakthrough algorithms that will redefine computational capabilities by 2026. We seek visionary researchers to collaborate on quantum machine learning models, error-corrected qubit architectures, and autonomous optimization frameworks. This role offers unparalleled access to our 128-qubit quantum annealing infrastructure and industry-leading GPU clusters. You'll contribute to projects with potential applications in drug discovery, climate modeling, and cryptographic security. Our innovation lab features a 24/7 quantum computing suite and offers flexible hybrid work arrangements with quarterly offsite retreats at our research campus in Tahoe. We provide comprehensive benefits including equity, relocation assistance, and professional development stipends for conferences like Q2B and NeurIPS.

Responsibilities

  • Design and implement quantum machine learning algorithms for high-dimensional data processing
  • Develop error mitigation protocols for quantum neural networks using surface code techniques
  • Lead cross-functional prototyping of quantum-classical hybrid computing systems
  • Publish research in peer-reviewed journals and present at international conferences
  • Collaborate with hardware engineers to optimize qubit connectivity and gate fidelity
  • Mentor junior researchers in quantum algorithm development and simulation methodologies
  • Secure external funding through NSF and DARPA grant proposals

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Published research in quantum machine learning or quantum error correction
  • Proficiency in Python, TensorFlow/PyTorch, and high-performance computing environments
  • Deep understanding of quantum annealing, variational quantum eigensolvers, and quantum supremacy benchmarks
  • Experience with GPU-accelerated computing (CUDA) and distributed computing frameworks
  • Strong analytical skills with ability to solve complex mathematical problems in Hilbert spaces

Required Skills

Quantum Computing Machine Learning Qiskit Python TensorFlow CUDA Theoretical Physics Error Correction High-Performance Computing

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