Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution. We're pioneering quantum-AI fusion to solve humanity's most complex challenges by 2026. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that merge quantum computing with machine learning, transforming industries from healthcare to climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources to disrupt conventional computing paradigms. Collaborate with Nobel laureates and Silicon Valley innovators in an environment where your ideas become breakthroughs. This isn't just a job—it's your chance to shape the computational future.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical neural networks with 99.9% fidelity
- Lead cross-functional teams to deploy quantum solutions in production environments
- Author peer-reviewed publications and patents for quantum-AI methodologies
- Optimize quantum circuits for error correction and scalability
- Collaborate with hardware teams to bridge quantum software-hardware integration
- Drive open-source contributions to quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Proven track record in publishing quantum-AI research (arXiv, Nature journals)
- Strong command of Python, TensorFlow/PyTorch, and quantum simulators
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Deep understanding of quantum error correction and fault tolerance
- Demonstrated ability to lead technical teams and mentor junior researchers