Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI hybrid systems. Our Austin-based research hub is assembling elite minds to develop scalable quantum algorithms and next-gen neural networks that will redefine computing by 2026. You'll collaborate with Nobel laureates and industry disruptors in a hyper-growth environment equipped with $50M+ in cutting-edge infrastructure.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Lead cross-functional teams in developing fault-tolerant quantum computing protocols
- Author breakthrough research papers for top-tier journals and conferences
- Optimize AI algorithms for quantum hardware acceleration
- Drive commercialization of quantum-AI hybrid solutions
- Mentor junior researchers and contribute to patent filings
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in Python, Qiskit, and TensorFlow/PyTorch frameworks
- Published research in quantum machine learning or related fields
- Deep understanding of quantum error correction and decoherence mitigation
- Proven track record of translating theoretical concepts to practical implementations