Job Description
Join Nexus Innovations Inc. at the forefront of technological evolution. We're pioneering quantum-AI convergence to redefine computational boundaries for 2026 and beyond. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that merge quantum mechanics with artificial intelligence, solving previously unsolvable problems in cryptography, optimization, and machine learning. Our Austin-based lab offers unparalleled resources for breakthrough research, including access to quantum annealers and exascale computing clusters.
What You'll Achieve:
You'll lead cross-functional teams to develop hybrid quantum-classical models, publish groundbreaking research in top-tier journals, and contribute to open-source frameworks that will shape the future of AI. This role offers direct impact on commercial applications in finance, logistics, and drug discovery.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop error-correction protocols for quantum neural networks
- Collaborate with hardware teams to optimize quantum-AI system integration
- Lead research initiatives in quantum-enhanced deep learning architectures
- Translate theoretical models into scalable production-ready solutions
- Mentor junior researchers and publish in IEEE/ACM journals
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (MS with exceptional experience)
- 3+ years in quantum algorithm development or quantum machine learning
- Proficiency in Qiskit, Cirq, or PennyLane frameworks
- Expertise in tensor networks and quantum circuit optimization
- Strong Python/C++ programming with scientific computing libraries
- Published research in quantum-AI intersection
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Understanding of NISQ-era limitations and mitigation strategies