Job Description
Join Nexus Quantum Labs at the forefront of computational revolution. We're pioneering the next generation of quantum-AI hybrid systems that will redefine industries by 2026. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that merge quantum computing with machine learning to solve previously impossible optimization problems in drug discovery, climate modeling, and financial forecasting.
We offer a collaborative environment where your work directly shapes humanity's technological frontier. Our Austin campus features state-of-the-art quantum hardware labs and dedicated AI supercomputing clusters. You'll collaborate with Nobel laureates and industry pioneers while enjoying competitive benefits including equity, wellness stipends, and flexible research sabbaticals.
Responsibilities
- Design and implement quantum machine learning algorithms for NISQ-era hardware
- Develop hybrid quantum-classical frameworks for enterprise-scale optimization
- Lead experimental validation of quantum advantage in real-world applications
- Collaborate with hardware teams to co-design quantum processors
- Publish peer-reviewed research and contribute to open-source quantum libraries
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (TensorFlow/PyTorch)
- Publication record in top-tier quantum computing conferences
- Strong background in linear algebra and quantum information theory
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Passion for solving complex interdisciplinary problems