Job Description
Join the forefront of technological revolution at Nexus Quantum Labs as we pioneer the convergence of quantum computing and artificial intelligence. We seek visionary Quantum AI Research Engineers to develop next-generation algorithms that will redefine computational boundaries by 2026. Our Austin-based team operates at the intersection of theoretical physics and machine learning, creating solutions for climate modeling, drug discovery, and cryptography. You'll collaborate with Nobel laureates and industry disruptors in an environment that values audacious thinking and rigorous experimentation. We offer equity, flexible schedules, and a $50k annual research stipend for personal projects.
Responsibilities
- Design and implement quantum machine learning models leveraging QAOA and VQE algorithms
- Develop hybrid quantum-classical frameworks for optimization problems
- Create error mitigation protocols for NISQ-era quantum processors
- Lead cross-functional teams to translate research into production-ready solutions
- Publish breakthrough findings in Nature/Science journals
- Contribute to open-source quantum AI libraries
- Advise Fortune 500 clients on quantum adoption strategies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- Proficiency in Qiskit, Cirq, or PennyLane frameworks
- Publication record in top-tier quantum computing conferences
- Deep understanding of quantum error correction techniques
- Experience with quantum circuit optimization and compilation
- Strong background in linear algebra and probability theory
- Demonstrated ability to translate complex concepts into actionable solutions