Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that solve previously unsolvable computational challenges while ensuring ethical deployment. Our Austin innovation hub offers unparalleled resources to transform theoretical breakthroughs into real-world applications across healthcare, climate modeling, and materials science.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks for enterprise-scale optimization problems
- Develop error mitigation protocols for quantum neural networks in production environments
- Lead cross-functional teams in translating quantum algorithms into deployable solutions
- Author peer-reviewed publications on quantum AI advancements and ethical frameworks
- Collaborate with hardware teams to optimize quantum circuit architectures for AI workloads
- Establish industry standards for quantum AI security and bias mitigation
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent research experience)
- 5+ years developing quantum algorithms or quantum machine learning models
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in top-tier quantum/AI conferences (Nature, NeurIPS, QIP)
- Expertise in NISQ-era hardware constraints and error correction techniques
- Strong background in ethical AI governance and responsible innovation practices