Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026. We're seeking visionary Quantum AI Research Engineers to develop breakthrough algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for exploring quantum machine learning, error correction, and hybrid quantum-classical systems. This role represents your opportunity to shape humanity's technological future while working alongside Nobel laureates and industry pioneers. We offer competitive compensation, equity packages, and dedicated R&D freedom.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop novel quantum error correction techniques for scalable quantum computing
- Create hybrid quantum-classical neural network architectures
- Collaborate with hardware teams to optimize quantum-AI co-design strategies
- Lead research publications in top-tier quantum computing journals
- Drive prototype development for quantum-AI solutions in finance, healthcare, and logistics
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 3+ years of quantum algorithm development experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum computing or quantum machine learning
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Expertise in complex mathematical optimization techniques
- Track record of translating theoretical research into practical implementations