Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence solutions that will redefine global computing paradigms. As a Quantum AI Research Scientist, you'll architect next-gen algorithms at our Austin Innovation Hub, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges.
Our state-of-the-art facilities feature 128-qubit processors and petascale neural networks. Enjoy flexible hybrid work, unlimited R&D budget, and equity in a unicorn-valued startup shaping the 2030 tech landscape.
Responsibilities
- Design and implement quantum neural networks for real-world optimization problems
- Lead cross-functional teams in developing error-corrected quantum algorithms
- Publish breakthrough research in top-tier journals/conferences (Nature, ICML, etc.)
- Architect hybrid quantum-classical computing frameworks for enterprise clients
- Secure $1M+ in government/private research grants
- Mentor PhD candidates in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, AI, or related field with 3+ years industry experience
- Published work in quantum machine learning or quantum error correction
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Experience with superconducting qubit systems or photonic processors
- Strong background in complex mathematical optimization (convex/non-convex)
- Track record of translating theoretical research into scalable prototypes
- US citizenship or permanent residency required for government contracts