Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing as we know it. As a Quantum AI Research Engineer, you'll architect next-generation algorithms at the intersection of quantum mechanics and artificial intelligence, working in our state-of-the-art San Francisco lab. This is your chance to shape the future of computational science and contribute to breakthroughs that will impact global industries.
Responsibilities
- Design and implement quantum algorithms optimized for near-term quantum processors
- Develop hybrid quantum-classical machine learning models for complex problem-solving
- Collaborate with cross-functional teams to integrate quantum solutions into AI frameworks
- Conduct cutting-edge research in quantum error correction and coherence optimization
- Publish findings in leading scientific journals and present at international conferences
- Mentor junior researchers and drive innovation in quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Proven track record of quantum algorithm development and optimization
- Experience with quantum hardware platforms (IBM Q, Rigetti, or IonQ)
- Published research in quantum computing or quantum machine learning
- Ability to thrive in fast-paced, interdisciplinary research environments