Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-generation systems that will redefine industries by 2026. Our Austin hub offers state-of-the-art labs, competitive benefits, and unparalleled opportunities to shape the future of computational intelligence.
We value radical innovation and collaborative genius. If you're passionate about pushing boundaries in quantum algorithms, machine learning optimization, and scalable quantum architectures, this is your moment to build what's next.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-scale computational challenges
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Lead research in quantum error correction and fault-tolerant systems
- Collaborate with cross-functional teams to prototype quantum AI solutions
- Publish groundbreaking research in top-tier journals and conferences
- Mentor junior researchers and contribute to patent development
- Stay ahead of emerging quantum computing standards and protocols
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (MS with exceptional experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and algorithm optimization
- Published research in quantum computing or AI at premier conferences
- Strong background in linear algebra, probability, and computational complexity
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations