Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the quantum-AI frontier for 2026. We're seeking visionary researchers to develop next-generation quantum neural networks that will redefine computational paradigms. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, where we're building the infrastructure for tomorrow's digital revolution.
Our team operates at the intersection of quantum mechanics, advanced machine learning, and predictive analytics to solve humanity's most complex challenges. You'll contribute to projects that will shape the technological landscape of the mid-2020s, including climate modeling breakthroughs, hyper-efficient energy systems, and autonomous decision frameworks.
Responsibilities
- Design and implement novel quantum algorithms for AI acceleration
- Lead research in quantum machine learning architectures
- Develop predictive models for 2026 technological adoption curves
- Collaborate with hardware teams on quantum-optimized neural networks
- Publish peer-reviewed research in top-tier journals
- Mentor junior researchers in quantum computing principles
- Secure federal and private research grants for frontier projects
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years of hands-on quantum algorithm development
- Expertise in machine learning frameworks (TensorFlow, PyTorch)
- Publication record in Nature/Science or equivalent journals
- Proficiency with quantum programming languages (Qiskit, Cirq)
- Demonstrated experience with high-performance computing clusters
- Deep understanding of quantum error correction techniques
- Strong background in theoretical physics and computational complexity