Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence solutions that redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that leverage quantum supremacy to solve previously intractable problems in drug discovery, climate modeling, and cryptography. Our Austin-based innovation lab offers unparalleled resources, including access to 128-qubit processors and a collaborative ecosystem of Nobel laureates and Turing Award winners.
Enjoy competitive equity packages, flexible hybrid work arrangements, and a wellness stipend for cutting-edge biohacking. This role shapes humanity's digital future through ethical, scalable quantum innovations.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for machine learning optimization
- Lead research on quantum error correction techniques for fault-tolerant systems
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Develop proprietary frameworks for quantum neural networks and variational circuits
- Publish breakthrough research in Nature/Science journals and top-tier conferences
- Secure $1M+ in government grants and industry partnerships for quantum initiatives
- Mentor PhD candidates and lead open-source quantum-AI projects
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and circuit optimization
- Published record in quantum machine learning or quantum algorithm design
- Proficiency in Python/C++ with TensorFlow/PyTorch integration
- Deep understanding of quantum decoherence and error mitigation strategies
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong track record of translating theoretical research into scalable implementations