Job Description
Join the forefront of technological revolution as 2026 Quantum AI Research Lead at NexGen Quantum Solutions. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This senior role demands a visionary who can architect next-gen AI systems leveraging quantum supremacy principles.
Positioned at the intersection of physics and machine learning, you'll lead a multidisciplinary team developing quantum neural networks and hybrid quantum-classical algorithms. Our Austin R&D hub offers unparalleled resources including 128-qubit quantum processors and petascale computing infrastructure.
Competitive compensation includes equity, comprehensive benefits, and research budget autonomy. Shape the future of computational intelligence while working alongside Nobel laureates and Turing Award winners.
Responsibilities
- Architect quantum AI frameworks for 2026-era applications in drug discovery and materials science
- Lead development of error-corrected quantum neural networks with >99.9% fidelity
- Collaborate with MIT and Caltech on quantum algorithm standardization
- Manage $2M+ research budget with quarterly ROI reporting to C-suite
- Present breakthrough findings at IEEE Quantum Week and NeurIPS conferences
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (10+ years experience)
- Published research in Nature/Science on quantum algorithms or AI optimization
- Proficiency in Qiskit, Cirq, and quantum error correction protocols
- Experience securing NIH/DARPA grants for quantum research initiatives
- Expertise in tensor networks and quantum circuit optimization
- Demonstrated leadership in cross-disciplinary R&D environments