Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-generation algorithms for autonomous systems, climate modeling, and biomedical breakthroughs. Our Austin campus features state-of-the-art quantum annealing labs and collaborative innovation spaces where your ideas become reality. We offer competitive equity packages, flexible work arrangements, and sabbaticals for deep-dive research projects.
Responsibilities
- Design and implement quantum machine learning frameworks for complex system optimization
- Develop hybrid quantum-classical algorithms for real-time data analysis
- Lead cross-functional teams in prototyping experimental AI architectures
- Collaborate with hardware engineers to optimize quantum coherence times
- Publish research in peer-reviewed journals and industry whitepapers
- Mentor junior researchers in quantum computing best practices
- Secure federal and private research grants for emerging tech initiatives
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
- Published research in Nature/Science journals or top-tier AI conferences
- Expertise in tensor networks and quantum error correction protocols
- Strong Python/C++ skills with high-performance computing experience
- Proven track record of translating theoretical models into scalable solutions
- Familiarity with neuromorphic computing architectures
- Security clearance eligibility preferred