Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration solutions that will redefine global computing paradigms. As a Quantum AI Research Engineer, you'll develop cutting-edge algorithms merging quantum mechanics with artificial intelligence to solve previously insurmountable computational challenges. Our Austin R&D hub offers state-of-the-art laboratories and unparalleled collaboration with MIT and Stanford researchers. This role includes competitive equity packages, flexible hybrid work, and dedicated R&D budget for your experimental projects.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for optimization problems
- Develop error-correction protocols for quantum neural networks
- Collaborate with hardware teams to prototype quantum processors
- Publish research in IEEE Quantum Computing journals
- Mentor junior researchers on quantum machine learning principles
- Secure $1M+ in government/industry grants for quantum projects
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in Python, TensorFlow, and PyTorch
- Published research in quantum machine learning
- Familiarity with AWS Braket or Azure Quantum services
- Strong background in linear algebra and quantum mechanics
- Experience securing federal research grants