Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's grandest challenges. Our Austin-based team operates at the intersection of quantum mechanics, machine learning, and computational neuroscience. This role offers unparalleled opportunity to shape the next generation of autonomous systems, climate modeling, and biomedical breakthroughs. We provide competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art quantum research facilities. If you're passionate about pushing beyond classical computing boundaries, this is your chance to define the future.
Responsibilities
- Design and implement quantum machine learning algorithms for complex problem domains
- Lead cross-functional R&D projects integrating quantum processors with neural networks
- Develop novel error-correction techniques for quantum-AI hybrid systems
- Collaborate with hardware teams to optimize quantum algorithms for specific architectures
- Publish cutting-edge research in top-tier journals and conferences
- Mentor junior researchers and contribute to technical roadmap development
- Secure research grants and partnerships with leading academic institutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum machine learning or related fields
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Proven ability to translate theoretical concepts into practical implementations