Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Engineer to architect next-generation algorithms that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers to develop quantum neural networks, optimize machine learning models, and solve previously intractable problems across healthcare, climate science, and cryptography.
Our Austin-based innovation hub offers unparalleled resources including a 128-qubit quantum processor and a $50M research budget. You'll shape the future of technology while enjoying competitive equity packages, unlimited learning stipends, and a culture that rewards intellectual curiosity.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop hybrid quantum-classical computing frameworks for enterprise applications
- Lead research initiatives in quantum error correction and fault tolerance
- Collaborate with cross-functional teams to translate quantum proofs of concept into production systems
- Publish breakthrough research in top-tier journals and conferences
- mentor junior researchers and contribute to open-source quantum AI projects
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (TensorFlow/PyTorch)
- Published research in quantum machine learning or quantum algorithms
- Experience with high-performance computing environments
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong problem-solving skills for complex multi-variable systems