Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of AI-quantum hybrid systems. As our Quantum AI Research Lead, you'll architect breakthrough solutions that will redefine industries by 2026. Collaborate with Nobel laureates and industry disruptors in a culture that values audacious innovation and intellectual curiosity.
We offer unparalleled resources, including access to our quantum computing lab and a $50M research budget. Your work will directly impact humanity's most pressing challenges—from climate modeling to personalized medicine.
Responsibilities
- Lead cross-functional teams in developing AI-quantum algorithms for 2026-scale computational challenges
- Architect hybrid quantum-classical machine learning frameworks
- Secure $5M+ in research grants from NSF and DARPA
- Publish 3+ peer-reviewed papers in Nature/Science annually
- Mentor PhD researchers in quantum machine learning
- Collaborate with hardware teams to optimize quantum-AI integration
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 5+ years experience in quantum algorithm development
- Proven track record of securing federal research grants
- Expertise in TensorFlow/PyTorch and quantum SDKs (Qiskit, Cirq)
- Published research in top-tier AI/quantum journals
- Strong background in complexity theory and error correction
- Experience mentoring postdoctoral researchers