Job Description
Shape the technological frontier of 2026 as Nexus Future Labs pioneers quantum computing breakthroughs. Join our elite R&D team to develop next-gen algorithms that will redefine industries. This role offers unparalleled opportunities to collaborate with Nobel laureates and publish groundbreaking research in leading journals. Our Austin campus features state-of-the-art labs with industry-leading quantum processors, flexible hybrid work arrangements, and comprehensive benefits including equity packages.
Responsibilities
- Design scalable quantum computing architectures for 2026-era applications
- Lead development of hybrid quantum-classical machine learning models
- Optimize quantum algorithms for real-world industry deployment
- Mentor junior researchers and publish high-impact academic papers
- Collaborate with hardware teams to co-design quantum processors
- Secure federal and private research grants for 2026 quantum initiatives
- Present findings at premier international quantum computing conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years developing quantum algorithms or quantum error correction
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Published research in Nature/Science or top-tier quantum journals
- Proficiency in Python, C++, and quantum circuit design
- Experience with quantum machine learning frameworks
- Track record of securing research funding (>1M USD preferred)
- Strong background in topological quantum computing or fault tolerance