Job Description
Join Nexus Quantum Systems at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Engineer to develop next-generation hybrid quantum-classical systems that will redefine machine learning, cryptography, and computational modeling. Our Austin-based innovation hub offers unparalleled resources to pioneer breakthroughs that will shape humanity's digital future.
As a key member of our Quantum AI division, you'll collaborate with Nobel laureates, industry pioneers, and MIT-affiliated researchers to create scalable quantum neural networks and fault-tolerant algorithms. This role offers competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art quantum computing lab.
Responsibilities
- Design and implement hybrid quantum-classical machine learning architectures
- Develop error-corrected quantum algorithms for optimization problems
- Create quantum neural network frameworks for real-world applications
- Collaborate with cryptography teams on post-quantum security protocols
- Lead cross-functional R&D projects with AI and quantum physics teams
- Publish breakthrough research in Nature/Science journals
- Mentor junior researchers in quantum computational theory
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms using frameworks like Qiskit or Cirq
- Expertise in quantum error correction and fault tolerance techniques
- Strong Python/C++ programming with quantum libraries
- Publication record in quantum computing or AI research
- Experience with high-performance computing clusters
- Deep understanding of quantum mechanics and information theory