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Quantum AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI convergence systems. We're seeking a visionary Quantum AI Research Scientist to develop next-generation computational frameworks that will redefine machine learning capabilities. Our interdisciplinary team operates at the intersection of quantum computing, neural networks, and predictive analytics. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges while working in our state-of-the-art research facility in downtown San Francisco.

We offer competitive equity packages, unlimited professional development credits, and flexible research funding. Our culture values radical innovation, intellectual curiosity, and collaborative breakthrough thinking. This is your opportunity to shape the technological landscape of 2026 and beyond.

Responsibilities

  • Design and implement quantum-enhanced machine learning algorithms for real-world applications
  • Lead cross-functional research projects combining quantum computing with deep neural networks
  • Develop proprietary quantum data compression and encryption protocols
  • Author breakthrough research papers for top-tier journals and conferences
  • Mentor junior researchers and foster collaborative innovation across teams
  • Secure external funding through government grants and industry partnerships
  • Translate theoretical quantum-AI models into scalable production systems

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related computational field
  • 3+ years experience with quantum programming languages (Qiskit, Cirq, or Q#)
  • Expertise in tensor networks and quantum circuit optimization
  • Publication record in Nature/Science or equivalent tier journals
  • Proficiency with high-performance computing architectures and GPU acceleration
  • Deep understanding of quantum error correction and fault tolerance
  • Experience securing federal research grants (NSF, DARPA)
  • Portfolio demonstrating scalable quantum-AI implementations

Required Skills

Quantum Computing Machine Learning Neural Networks Qiskit Cirq High-Performance Computing Tensor Networks Quantum Error Correction GPU Acceleration Research Methodology Data Compression Encryption

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