Job Description
Join Nexus Future Technologies at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation quantum neural networks that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll develop hybrid quantum-classical algorithms for machine learning, simulate complex molecular systems, and collaborate with Nobel laureates to solve humanity's most pressing challenges. Our Austin lab offers state-of-the-art cryogenic quantum processors and 24/7 access to the nation's largest quantum cloud infrastructure. This is your chance to shape the technological landscape of tomorrow.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Lead cross-functional teams in developing quantum-optimized neural networks
- Conduct groundbreaking research in quantum error correction and fault tolerance
- Publish findings in top-tier journals and present at international quantum conferences
- Collaborate with hardware teams to prototype quantum-AI hybrid systems
- Mentor PhD candidates in quantum computing methodologies
- Secure $5M+ in federal grants for quantum-AI research initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoc experience
- Published research in Nature/Science journals on quantum algorithms
- Proficiency in Qiskit, Cirq, and quantum circuit optimization frameworks
- Expertise in tensor networks and quantum machine learning architectures
- Strong background in quantum error correction and fault-tolerant design
- Experience securing DoE/NSF grants for quantum research
- Deep understanding of quantum-classical hybrid computing paradigms
- Track record of translating quantum theory into practical implementations