Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthroughs in quantum computing and artificial intelligence for 2026. This role offers the unique opportunity to shape the next generation of computational paradigms while working with world-class researchers in our state-of-the-art San Francisco laboratory. We're seeking visionary minds to develop scalable quantum algorithms that will redefine industries from healthcare to logistics.
Our team operates at the intersection of theoretical physics and practical AI implementation, offering unparalleled resources and collaborative freedom. You'll lead initiatives that bridge quantum supremacy with machine learning architectures, contributing directly to projects with global impact.
Responsibilities
- Design and implement quantum algorithms for next-generation AI systems
- Lead cross-functional research teams in developing hybrid quantum-classical computing frameworks
- Collaborate with hardware engineers to optimize quantum circuit performance
- Publish findings in peer-reviewed journals and present at international conferences
- Drive innovation in quantum error correction and fault-tolerant architectures
- Secure research grants and partnerships with leading academic institutions
- Mentor junior researchers and establish best practices in quantum AI methodology
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science
- 5+ years of experience in quantum algorithm development or AI research
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Publication record in top-tier quantum/AI journals or conferences
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Strong background in linear algebra, probability theory, and information theory
- Demonstrated ability to secure research funding and manage complex projects