Job Description
Join NexusLabs at the forefront of 2026's technological revolution! We're pioneering quantum-AI convergence to solve humanity's grandest challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that redefine computational boundaries. Our Austin campus features state-of-the-art labs and a collaborative culture where your breakthroughs will directly impact fields from climate modeling to personalized medicine.
Why NexusLabs? We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. Be part of a team where your passion for quantum computing meets AI's limitless potential.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Lead cross-functional R&D projects integrating quantum processors with classical AI frameworks
- Develop novel error-correction techniques for quantum neural networks
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware teams to co-design quantum-AI hybrid systems
- Secure external funding through NSF and DARPA grant applications
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (MS with exceptional experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in deep learning architectures and optimization theory
- Published research in quantum machine learning or related fields
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability, and information theory