Job Description
Join Nexus Quantum Labs at the frontier of technological evolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's greatest challenges by 2026. As a Quantum AI Research Scientist, you'll architect breakthrough systems that redefine computational boundaries.
Our state-of-the-art facility in San Francisco offers unparalleled resources to develop novel quantum algorithms, optimize neural networks for quantum hardware, and create hybrid AI systems capable of exponential problem-solving. This role offers equity participation and patent opportunities for transformative discoveries.
If you're passionate about shaping the technological landscape of tomorrow and possess expertise at the intersection of quantum mechanics and machine learning, we invite you to lead the next paradigm shift in computing.
Responsibilities
- Design and implement quantum algorithms for AI optimization and machine learning acceleration
- Develop hybrid quantum-classical neural architectures for 2026-era applications
- Lead research teams in solving complex optimization problems using quantum annealing
- Collaborate with hardware engineers to co-design quantum processors tailored for AI workloads
- Author peer-reviewed publications and white papers on quantum-AI convergence
- Secure patents for novel quantum machine learning methodologies
- Present breakthrough findings at global tech conferences and industry summits
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 5+ years of experience in quantum algorithm development or AI research
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
- Deep understanding of quantum error correction and fault-tolerant computing
- Published research in quantum machine learning or quantum information theory
- Expertise in high-performance computing and distributed quantum systems
- Strong background in neural network architectures and optimization theory