Job Description
Shape the future at Nexus Labs as we pioneer the convergence of quantum computing and artificial intelligence for 2026. Join our elite team of innovators developing next-gen solutions that will redefine global technology landscapes. We offer unparalleled resources, collaborative research environments, and the opportunity to work on projects with real-world impact. Your expertise will directly influence breakthroughs in computational science, machine learning, and quantum algorithms.
Our state-of-the-art facility in San Francisco's innovation district provides cutting-edge labs, flexible work arrangements, and competitive benefits including equity, wellness programs, and professional development stipends. We're seeking visionaries who thrive at the intersection of theoretical physics and practical AI implementation.
Responsibilities
- Design and implement quantum algorithms optimized for AI training and inference pipelines
- Develop hybrid quantum-classical machine learning frameworks for complex data modeling
- Lead cross-functional research teams in prototyping quantum-resistant security protocols
- Collaborate with hardware engineers to co-design quantum processors for AI workloads
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Translate theoretical quantum models into scalable production systems
- Identify commercial applications for emerging quantum-AI hybrid technologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Expertise in machine learning architectures and deep learning frameworks (PyTorch, TensorFlow)
- Publication record in quantum information science or AI research
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Proven ability to lead technical projects and mentor junior researchers