Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum AI systems for 2026. This role offers an unparalleled opportunity to shape the next generation of intelligent computing by merging quantum mechanics with artificial intelligence. You'll work in our state-of-the-art Austin facility collaborating with Nobel laureates and industry pioneers to develop scalable quantum neural networks.
We offer comprehensive benefits including equity grants, unlimited learning stipends, and flexible hybrid work arrangements. As a key architect of tomorrow's technology, you'll contribute to breakthrough applications in drug discovery, climate modeling, and autonomous systems.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Develop error-corrected quantum circuits optimized for deep learning applications
- Lead cross-functional teams in prototyping quantum-classical hybrid computing architectures
- Publish research in peer-reviewed journals and present at international conferences
- Collaborate with hardware teams to optimize quantum processor performance
- Drive innovation in quantum neural network training methodologies
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Strong background in machine learning and neural network architectures
- Publication record in quantum computing or related fields
- Experience with high-performance computing environments
- Demonstrated ability to translate theoretical concepts into practical implementations
- Expertise in Python, C++, and quantum assembly languages