Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution! We're seeking a pioneering Quantum AI Research Engineer to architect next-generation computational frameworks that will redefine machine learning. Our Austin innovation hub combines cutting-edge quantum hardware with advanced neural networks to solve humanity's most complex challenges. Collaborate with Nobel laureates and industry disruptors in a culture where curiosity meets impact. If you're passionate about merging quantum mechanics with artificial intelligence to create unprecedented computational power, this is your moment to shape the future.
Responsibilities
- Design and implement quantum neural network architectures for scalable AI applications
- Develop hybrid quantum-classical algorithms to optimize machine learning workflows
- Lead R&D initiatives in quantum error correction for fault-tolerant AI systems
- Collaborate with hardware teams to prototype quantum-AI accelerators
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and drive innovation in quantum machine learning
- Secure and manage research partnerships with leading quantum institutions
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience in quantum algorithms or quantum machine learning
- Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Published research in quantum computing or AI at top-tier conferences
- Proficiency in high-performance computing and parallel programming
- Track record of translating theoretical concepts into practical implementations