Job Description
Join Nexus Labs at the forefront of technological innovation as we pioneer quantum-AI hybrid systems for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to develop next-generation algorithms that redefine computational boundaries. Our Austin-based team operates at the intersection of quantum computing, machine learning, and predictive analytics to solve humanity's most complex challenges. Work with state-of-the-art quantum hardware and collaborate with Nobel laureates in a culture that values intellectual curiosity and breakthrough thinking.
This role offers unparalleled opportunities to publish groundbreaking research, lead cross-functional projects, and shape the future of artificial intelligence. You'll be instrumental in developing fault-tolerant quantum neural networks and implementing error correction protocols for real-world applications.
Responsibilities
- Design and implement quantum machine learning algorithms for predictive modeling
- Develop error-correction protocols for quantum-AI hybrid systems
- Lead experimental research on quantum neural network architectures
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish peer-reviewed research in top-tier scientific journals
- Mentor junior researchers and drive innovation in quantum computing methodologies
- Translate theoretical concepts into scalable production-ready solutions
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming languages (Q#, Qiskit)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) with quantum extensions
- Strong publication record in quantum information science or AI research
- Proficiency in quantum circuit design and simulation tools
- Demonstrated experience with high-performance computing clusters
- Ability to communicate complex quantum concepts to technical and non-technical stakeholders
- Passion for ethical AI development and quantum democratization