Job Description
Join Nexus Futuristics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect breakthrough systems that redefine computational boundaries. Our Austin hub offers state-of-the-art labs, unparalleled R&D resources, and a culture where visionary ideas become reality. Shape the future while working alongside Nobel-caliber researchers in a collaborative, fast-paced environment. This isn't just a job—it's your chance to build tomorrow's paradigm-shifting technologies today.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for next-gen computational systems
- Lead cross-functional R&D teams in prototyping 2026-era quantum neural networks
- Develop error-correction frameworks for fault-tolerant quantum computing architectures
- Collaborate with government/industry partners on quantum security initiatives
- Author breakthrough research papers for premier scientific journals
- Mentor junior researchers in quantum machine learning methodologies
- Translate theoretical quantum models into scalable production-ready solutions
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent research experience)
- 3+ years hands-on quantum programming (Qiskit, Cirq, or similar)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) with quantum extensions
- Published research in Nature/Science or top-tier quantum-AI conferences
- Strong background in quantum error correction and fault tolerance
- Experience with high-performance computing and distributed quantum systems
- Demonstrated ability to translate complex theories into practical implementations
- Passion for ethical AI development and responsible innovation