Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this role, you'll architect next-gen algorithms that push the boundaries of computational possibility, working in our state-of-the-art Austin R&D facility. Collaborate with Nobel laureates and disrupt traditional paradigms while contributing to breakthroughs in materials science, climate modeling, and personalized medicine.
We offer competitive equity packages, flexible hybrid work arrangements, and unlimited learning stipends for cutting-edge certifications. Your work will directly impact the next decade of technological evolution.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Lead cross-functional research teams in prototyping quantum-optimized neural networks
- Develop novel algorithms leveraging quantum entanglement for exponential data processing
- Author breakthrough publications in top-tier journals and industry whitepapers
- Secure federal and private research grants for emerging quantum-AI initiatives
- Mentor junior researchers and foster an innovation-first culture
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development using frameworks like Qiskit or Cirq
- Published research in Nature/Science or equivalent peer-reviewed journals
- Expertise in tensor networks and quantum error correction methodologies
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated experience with quantum hardware (e.g., IBM Quantum, Rigetti)
- Strong background in theoretical physics and information theory