Job Description
Shape the future at Nexus Labs in 2026! We're pioneering the convergence of quantum computing and artificial intelligence, and we need brilliant minds to lead the charge. As a Quantum AI Research Engineer, you'll develop groundbreaking algorithms that leverage quantum mechanics to solve previously impossible computational challenges. Join our interdisciplinary team of physicists, computer scientists, and AI specialists in Austin's vibrant tech ecosystem. You'll access state-of-the-art quantum hardware and collaborate with industry leaders to revolutionize fields from drug discovery to climate modeling. If you're passionate about pushing the boundaries of technology and contributing to humanity's next great leap, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural networks for enhanced AI capabilities
- Conduct quantum error correction research to improve computational stability
- Collaborate with hardware teams to optimize quantum circuit performance
- Lead research initiatives in quantum cryptography and secure AI systems
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (MS with exceptional experience considered)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum simulators
- Strong background in machine learning frameworks (TensorFlow, PyTorch) and algorithm design
- Proven track record of published research in quantum computing or AI
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Deep understanding of quantum information theory and complexity classes
- Excellent problem-solving skills and ability to work in fast-paced research environments