Job Description
Join InnovateX Labs at the forefront of technological evolution as we pioneer quantum-AI solutions for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to architect the next generation of hybrid quantum machine learning systems. This role offers unparalleled access to cutting-edge hardware and collaborative partnerships with global research institutions. You'll transform theoretical quantum algorithms into practical applications that redefine industries, while shaping our patent portfolio and contributing to open-source quantum frameworks.
Our San Francisco headquarters features state-of-the-art quantum annealing labs, 24/7 AI supercomputing clusters, and a culture that celebrates intellectual curiosity. We offer competitive equity packages, flexible remote work options, and dedicated innovation time for personal research projects. Be part of the team that's solving humanity's most complex computational challenges.
Responsibilities
- Design and implement hybrid quantum-classical neural networks for next-gen AI applications
- Lead quantum algorithm development for optimization problems in logistics and drug discovery
- Collaborate with hardware teams to optimize quantum circuit execution on superconducting processors
- Publish breakthrough research in Nature/Science journals and present at IEEE Quantum Week
- Develop quantum-resistant encryption protocols for 2026-era cybersecurity infrastructure
- Mentor cross-functional teams in quantum machine learning principles
- Secure $2M+ in DARPA/NSF research grants for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 5+ years industry experience
- Expertise in quantum programming (Qiskit, Cirq, Q#) and tensor network simulations
- Published research in quantum machine learning or quantum complexity theory
- Proficiency in Python, C++, and high-performance computing frameworks
- Experience with quantum hardware providers (IBM, Rigetti, IonQ) and cloud quantum services
- Demonstrated ability to lead multi-institutional research projects
- Strong background in topology or algebraic geometry for quantum error correction