Job Description
Join Nexus Quantum Solutions at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Engineer to pioneer breakthroughs in quantum-computing-driven machine learning. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with Nobel Prize-winning researchers and cutting-edge quantum hardware. Our Austin headquarters features state-of-the-art labs, flexible work arrangements, and comprehensive benefits including equity in our pre-IPO unicorn.
Responsibilities
- Develop novel quantum algorithms for AI optimization and predictive modeling
- Design hybrid quantum-classical neural networks for real-world applications
- Lead cross-functional teams in prototyping quantum machine learning solutions
- Author peer-reviewed research publications for top-tier conferences
- Collaborate with hardware engineers to optimize quantum circuit performance
- Translate theoretical quantum computing models into scalable AI frameworks
Qualifications
- PhD in Quantum Computing, Computer Science, or related field
- 3+ years of experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and NLP
- Published research in quantum machine learning or quantum information
- Proficiency in Python, C++, and high-performance computing environments
- Strong background in linear algebra, probability, and statistical modeling