Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing paradigms. As a Quantum AI Research Engineer, you'll architect next-gen algorithms, collaborate with Nobel laureates, and translate theoretical breakthroughs into real-world applications. Our Austin campus features state-of-the-art quantum labs and flexible hybrid work arrangements. This is your chance to shape humanity's digital future while working alongside the brightest minds in tech.
Responsibilities
- Design and implement quantum machine learning frameworks for 2026-era applications
- Develop error-correction protocols for quantum-AI hybrid systems
- Collaborate with cross-functional teams to integrate quantum solutions into commercial products
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor junior researchers and drive innovation in quantum algorithm development
- Secure and manage high-performance computing resources for quantum simulations
- Contribute to strategic roadmap for quantum-AI integration in enterprise solutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum algorithms and quantum machine learning frameworks
- Proficiency in Python, Qiskit, and quantum circuit optimization
- Published research in quantum computing or AI (3+ peer-reviewed papers)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Strong background in linear algebra, probability, and complex systems
- Demonstrated ability to lead technical projects from concept to deployment