Job Description
Join Nexus Labs at the forefront of technological evolution. We're pioneering quantum-AI fusion systems that will redefine computing by 2026. As a Quantum AI Research Engineer, you'll architect hybrid quantum-neural algorithms to solve previously impossible computational challenges. Our Austin-based R&D hub offers state-of-the-art facilities and collaborative partnerships with MIT and IBM Quantum. This role includes equity grants and unlimited learning stipends for emerging tech certifications.
Responsibilities
- Design quantum machine learning frameworks for optimization problems
- Develop error-corrected quantum circuits for AI acceleration
- Collaborate with neuroscientists to model quantum-biological systems
- Implement fault-tolerant algorithms on 1,000+ qubit processors
- Lead open-source contributions to quantum-AI libraries
- Present breakthroughs at IEEE Quantum Computing Summit
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years experience with Qiskit or Cirq frameworks
- Published research in Nature/Science on quantum algorithms
- Proficiency in Python, TensorFlow Quantum, and CUDA
- Understanding of topological quantum computing models
- Strong background in tensor networks and quantum error correction