Job Description
Join Nexus Frontier Labs at the forefront of technological evolution for 2026. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As a key member of our elite research team, you'll architect next-gen algorithms and lead breakthrough projects in quantum machine learning, autonomous systems, and neural-quantum interfaces. Collaborate with Nobel laureates and industry disruptors in our Austin Innovation Hub, where your work will directly shape humanity's technological trajectory.
Responsibilities
- Design and implement quantum-AI hybrid architectures for 2026-era applications
- Lead R&D in fault-tolerant quantum computing and neuromorphic systems
- Develop proprietary algorithms for quantum neural networks and predictive modeling
- Collaborate with hardware teams to optimize quantum-AI co-design protocols
- Publish peer-reviewed research in top-tier journals and conferences
- Secure federal and private funding for frontier technology initiatives
- Mentor cross-functional teams in emerging quantum machine learning paradigms
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Published research in Nature/Science or equivalent quantum-AI breakthroughs
- Proficiency in quantum circuit optimization and error correction techniques
- Deep knowledge of transformer architectures and quantum neural networks
- Experience with high-performance computing environments (HPC, cloud quantum)
- Track record of securing $1M+ in R&D funding or commercial patents
- Strong background in computational complexity theory