Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As our Quantum AI Research Lead, you'll architect breakthrough systems that redefine computational boundaries and accelerate discovery across healthcare, climate modeling, and materials science. Our Austin-based hub offers cutting-edge facilities and a collaborative culture where your vision will shape tomorrow's technological landscape.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for exponential computational gains
- Lead cross-disciplinary teams in developing error-corrected quantum neural networks
- Publish breakthrough research in top-tier journals and industry whitepapers
- Collaborate with hardware teams to optimize quantum-classical integration pipelines
- Drive strategic partnerships with quantum hardware providers and research institutions
- Mentor junior researchers in quantum machine learning methodologies
- Secure and manage multimillion-dollar research grants and innovation funding
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
- Proven track record publishing in Nature/Science or equivalent tier journals
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Proficiency in Python/C++ with quantum simulation libraries
- Experience leading high-stakes R&D projects with $1M+ budgets
- Deep understanding of quantum error correction and fault-tolerant architectures
- Strong patents portfolio or commercialized quantum-AI applications