Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking solutions that will redefine industries. This role offers unparalleled opportunities to work with next-generation quantum computing systems and advanced neural networks in our state-of-the-art Austin research facility. You'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges through quantum-empowered machine learning.
We offer competitive compensation, flexible hybrid work arrangements, and comprehensive benefits including equity in our pre-IPO growth stage company. Our culture values intellectual curiosity, rapid prototyping, and cross-disciplinary innovation. If you're passionate about shaping the future of AI and quantum computing, this is your moment to make history.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop proprietary quantum AI frameworks for industrial applications in healthcare, logistics, and energy
- Collaborate with hardware teams to optimize quantum algorithm performance on next-generation processors
- Publish groundbreaking research in top-tier journals and present at global tech conferences
- Mentor junior researchers and establish best practices for quantum AI development methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
- 5+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar frameworks)
- Expertise in deep learning architectures and high-performance computing environments
- Published research in quantum machine learning or related fields
- Strong Python proficiency with scientific computing libraries (NumPy, SciPy, TensorFlow/PyTorch)
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)