Job Description
Join Nexus Quantum Systems at the forefront of technological evolution as we pioneer the next generation of computational intelligence. We're seeking a visionary Quantum Machine Learning Engineer to architect breakthrough algorithms that merge quantum computing with AI. In this role, you'll collaborate with Nobel Prize-winning physicists and elite AI researchers to develop novel solutions for complex global challenges. Our state-of-the-art quantum lab in San Francisco offers unparalleled resources to push the boundaries of what's possible in 2026 and beyond.
Responsibilities
- Design and implement quantum machine learning frameworks using Qiskit and TensorFlow Quantum
- Develop hybrid quantum-classical neural networks for real-time data processing
- Optimize quantum algorithms for NISQ devices and fault-tolerant architectures
- Lead cross-functional teams in deploying quantum-empowered AI solutions
- Research quantum-enhanced optimization techniques for logistics and finance
- Collaborate with hardware engineers to co-design quantum processors
- Publish peer-reviewed papers in top-tier quantum computing journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience considered)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in Python, C++, and quantum programming languages (Q# or Qiskit)
- Deep understanding of quantum entanglement, superposition, and error correction
- Proven track record in machine learning frameworks (PyTorch, TensorFlow)
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong publication record in quantum/AI conferences or journals