Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer the next wave of quantum-AI convergence. We're seeking visionary researchers to develop groundbreaking applications for 2026 and beyond. Our interdisciplinary team operates at the intersection of quantum computing, artificial intelligence, and next-gen neural networks, solving humanity's most complex challenges.
This role offers unparalleled resources: access to IBM Quantum System Two, NVIDIA H100 clusters, and our proprietary AI sandbox. You'll collaborate with Nobel laureates and publish in Nature Physics while shaping the future of computational science.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead research in quantum neural networks and hybrid quantum-classical architectures
- Develop novel error correction protocols for fault-tolerant quantum systems
- Create predictive models for quantum hardware evolution through 2030
- Collaborate with AI ethics teams to ensure responsible quantum innovation
- Secure $1M+ in annual research grants through NSF and DARPA partnerships
- Mentor postdoctoral researchers in quantum-AI integration techniques
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or topological quantum computing
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault-tolerance principles
- Proven track record of securing government or corporate research funding
- Strong background in ethical AI frameworks and responsible innovation