Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution! We're pioneering quantum-AI integration for next-gen computational breakthroughs. As a Quantum AI Research Scientist, you'll architect hybrid systems that redefine machine learning paradigms. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into scalable solutions. We value disruptive thinkers who thrive at the intersection of quantum mechanics, neural networks, and high-performance computing.
Competitive compensation includes equity, comprehensive benefits, and research grants. Collaborate with Nobel laureates and industry disruptors in an environment that celebrates intellectual curiosity. Your work will directly impact fields from drug discovery to climate modeling.
Responsibilities
- Design and implement quantum neural networks for advanced AI training
- Develop hybrid quantum-classical algorithms for exponential computational gains
- Lead experimental validation of quantum-AI systems on D-Wave and IBM quantum processors
- Author breakthrough publications in Nature/Science journals and top-tier conferences
- Secure $2M+ in research grants through DARPA/NASA partnerships
- Mentor PhD researchers in quantum machine learning methodologies
- Architect fault-tolerant quantum computing interfaces for enterprise AI platforms
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum programming (Qiskit, Q#, Cirq) and ML frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum information theory
- Proficiency with high-performance computing (HPC) architectures and GPU optimization
- Strong background in linear algebra, quantum mechanics, and algorithmic complexity
- Experience securing government/industry research grants (NSF, NIH, corporate R&D)
- Demonstrated ability to lead cross-disciplinary technical teams