Job Description
Join NexGen Dynamics at the forefront of 2026's technological revolution as we pioneer Quantum-AI hybrid systems that redefine computational boundaries. Our Austin-based R&D hub is seeking visionary Quantum AI Research Scientists to develop next-gen algorithms merging quantum computing with machine learning. You'll collaborate with Nobel laureates and industry disruptors in an environment where your ideas shape tomorrow's digital landscape.
What You'll Achieve:
Architect breakthrough quantum neural networks, publish in top-tier journals, and contribute to patent-protected technologies powering Fortune 500 transformations. Enjoy unparalleled benefits including equity, flexible remote work, and dedicated R&D budget.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical computational frameworks for real-world applications
- Lead cross-functional teams in prototyping quantum AI solutions for finance, logistics, and healthcare
- Author peer-reviewed research publications and white papers advancing quantum AI theory
- Collaborate with quantum hardware engineers to optimize algorithm performance on emerging quantum processors
- Secure research grants and partnerships with leading quantum computing providers
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proficiency in Python, TensorFlow, and PyTorch for hybrid model development
- Published research in quantum machine learning or top-tier AI conferences (NeurIPS, ICML)
- Expertise in quantum error correction and noise mitigation techniques
- Strong background in linear algebra, quantum information theory, and statistical modeling
- Demonstrated ability to translate theoretical concepts into practical implementations