Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as a Quantum AI Research Engineer. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's greatest challenges. In this role, you'll architect next-gen quantum neural networks, develop hybrid quantum-classical algorithms, and collaborate with Nobel laureates in our Austin Innovation Hub. Your work will directly impact fields from drug discovery to climate modeling.
We offer cutting-edge resources, flexible hybrid work arrangements, and a culture that celebrates intellectual curiosity. If you're ready to reshape the future, this is your moment.
Responsibilities
- Design and implement quantum neural network architectures for AI acceleration
- Develop hybrid quantum-classical machine learning models
- Optimize quantum algorithms for NISQ-era hardware limitations
- Collaborate with cross-functional teams on quantum AI applications
- Publish research in peer-reviewed journals and present at international conferences
- Lead quantum computing workshops for industry partners
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning and deep learning frameworks
- Experience with quantum error correction techniques
- Publication record in quantum or AI research
- Proficiency in Python, C++, and high-performance computing
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)