Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering the next generation of hybrid quantum-neural systems that will redefine computational boundaries. As our Quantum AI Research Lead, you'll architect breakthrough algorithms at our state-of-the-art Austin R&D center, collaborating with Nobel laureates and visionary engineers to solve humanity's grandest challenges.
What you'll achieve: Design scalable quantum machine learning frameworks, publish in top-tier journals (Nature, Science), and translate theoretical innovations into industry-first applications across healthcare, climate modeling, and autonomous systems. Your work will directly shape our 2026 product roadmap.
Responsibilities
- Lead cross-functional teams in developing quantum-AI fusion architectures
- Author high-impact research papers on quantum neural networks
- Translate theoretical models into deployable quantum algorithms
- Drive 2026 product innovation through patent development
- Mentor junior researchers in quantum computing best practices
- Collaborate with hardware teams to optimize quantum-classical interfaces
- Secure $5M+ in federal research grants for 2026 initiatives
Qualifications
- PhD in Quantum Computing, AI, or Physics (or equivalent experience)
- 5+ years in quantum algorithm development or advanced ML research
- Published work in quantum machine learning or top-tier AI conferences
- Expertise in Qiskit, Cirq, or quantum circuit optimization
- Proficiency in Python, TensorFlow, and quantum simulation frameworks
- Demonstrated ability to secure government research funding
- Experience mentoring research scientists in high-stakes environments