Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Engineers to develop groundbreaking algorithms that will redefine computational boundaries by 2026. This role offers unparalleled opportunities to work with cutting-edge quantum hardware, neural networks, and autonomous systems in our state-of-the-art Austin facility. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges while shaping the future of artificial intelligence.
Responsibilities
- Design and implement quantum machine learning models for real-world optimization problems
- Develop hybrid quantum-classical algorithms for autonomous system decision-making
- Lead R&D initiatives in quantum neural network architectures
- Collaborate with hardware teams to optimize quantum circuit performance
- Publish breakthrough research in top-tier scientific journals
- Mentor junior researchers in quantum computing principles
- Secure and manage research grants for advanced AI projects
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- 3+ years in quantum algorithm development or quantum machine learning
- Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum information science or AI
- Deep understanding of quantum error correction and fault tolerance
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)