Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to architect next-generation systems that will redefine computational paradigms. In this role, you'll collaborate with Nobel laureates and industry pioneers to develop breakthrough algorithms that solve previously intractable problems in drug discovery, climate modeling, and materials science.
Our Austin campus features a state-of-the-art quantum lab with 128-qubit processors and dedicated GPU clusters for AI training. We offer unparalleled resources including a $50M research budget, flexible work arrangements, and equity participation in our moonshot projects. This isn't just a job—it's your chance to shape humanity's technological future.
Responsibilities
- Design and implement novel quantum machine learning algorithms for optimization and prediction tasks
- Lead interdisciplinary teams to develop hybrid quantum-classical computing frameworks
- Author groundbreaking research papers for Nature/Science journals and top-tier conferences
- Translate theoretical quantum concepts into practical enterprise solutions with 99.9% reliability
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Mentor postdoctoral researchers and interns in quantum-computing methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics with 3+ years postdoc experience
- Published research in quantum algorithms or quantum machine learning in Q1 journals
- Expertise in quantum programming languages (Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
- Deep understanding of quantum error correction and fault-tolerant architectures
- Proven ability to secure competitive research grants (NSF, DOE, or equivalent)
- Experience mentoring researchers and managing complex technical projects