Job Description
Join Nexus Quantum Labs at the frontier of technological evolution. We're seeking a visionary 2026 Quantum AI Research Lead to architect the next generation of computational intelligence. This pivotal role bridges quantum mechanics and artificial intelligence, developing breakthrough systems that will redefine industries by 2026.
As our quantum AI pioneer, you'll lead a multidisciplinary team of physicists, engineers, and data scientists to create hybrid quantum-classical algorithms capable of solving previously impossible computational challenges. Your work will directly impact fields from drug discovery to climate modeling, pushing the boundaries of human innovation.
Positioned in Austin's thriving tech ecosystem, you'll collaborate with industry leaders and academic institutions to shape the future of quantum AI. We offer competitive compensation, cutting-edge resources, and unparalleled opportunities to leave your mark on technological history.
Responsibilities
- Architect and execute quantum AI research roadmaps targeting 2026 breakthrough milestones
- Lead development of hybrid quantum-neural network algorithms for exponential computational gains
- Oversee cross-functional teams of quantum physicists, ML engineers, and domain specialists
- Secure and manage federal/private research funding for quantum AI initiatives
- Publish breakthrough research in top-tier journals and industry conferences
- Develop ethical frameworks for quantum AI deployment and governance
- Partner with Fortune 500 companies to implement quantum AI solutions
Qualifications
- PhD in Quantum Computing, AI, or related field with 8+ years research experience
- Proven track record publishing in Nature/Science or equivalent tier journals
- Expertise in quantum machine learning algorithms and error correction
- Experience managing R&D teams with $5M+ budgets
- Deep understanding of quantum hardware architectures (superconducting, photonic)
- Strong programming skills in Python, C++, and quantum frameworks (Qiskit, Cirq)
- Demonstrated ability to translate theoretical concepts into commercial applications