Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that redefine computational boundaries. Our Austin-based innovation hub offers unparalleled resources, including a 500-qubit quantum processor and a dedicated AI supercluster. Be part of a team where your work directly impacts fields from drug discovery to climate modeling. We provide competitive equity packages, flexible hybrid work, and continuous learning stipends to fuel your growth in this rapidly evolving field.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for real-world applications
- Lead breakthrough research in quantum machine learning and neural networks
- Collaborate with cross-functional teams to integrate quantum solutions into enterprise systems
- Develop error-correction protocols for quantum neural networks
- Author peer-reviewed publications and present findings at top-tier conferences
- Mentor junior researchers and contribute to quantum education initiatives
- Secure and manage research grants from federal and private funding sources
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum computing experience with frameworks like Qiskit or Cirq
- Expertise in AI/ML frameworks (PyTorch, TensorFlow) and quantum algorithm design
- Publication record in quantum computing or AI at NeurIPS, Nature, or similar venues
- Proficiency in Python, C++, and quantum circuit optimization techniques
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and computational complexity