Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms merging quantum supremacy with machine learning breakthroughs. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical physics into practical solutions for global challenges. If you thrive at the intersection of quantum mechanics and artificial intelligence, this is your moment to shape the future.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Collaborate with cross-functional teams to develop hybrid quantum-classical computing frameworks
- Lead experimental validation of quantum AI systems using advanced simulators and hardware
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Drive innovation in quantum error correction and neural network optimization
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience considered)
- Proficiency in quantum programming languages (Qiskit, Cirq) and classical AI frameworks
- Proven track record of publishing in quantum machine learning or related fields
- Experience with NISQ-era hardware constraints and error mitigation techniques
- Strong background in linear algebra, probability theory, and quantum information theory
- Demonstrated ability to translate complex research into commercial applications
- Collaborative mindset with experience in interdisciplinary R&D environments