Job Description
Join Nexus Quantum Systems at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration for 2026 and beyond. We seek a visionary Quantum AI Research Scientist to develop groundbreaking solutions that will redefine computational paradigms. This role offers unparalleled opportunities to shape the future of technology while working in our state-of-the-art research facility in San Francisco.
About Nexus Quantum Systems: We're a forward-thinking research conglomerate dedicated to solving humanity's most complex challenges through quantum computing and artificial intelligence. Our interdisciplinary teams collaborate across physics, machine learning, and cryptography to create transformative innovations.
Why Join Us? Access to quantum hardware labs, competitive equity packages, and flexible work arrangements designed for peak innovation. You'll collaborate with Nobel laureates and publish in top-tier journals while contributing to projects that will impact billions of lives.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for next-generation AI systems
- Lead research in quantum machine learning applications for 2026-era challenges
- Develop error-correction protocols for scalable quantum neural networks
- Collaborate with hardware teams to optimize quantum-AI system architectures
- Publish breakthrough research in Nature/Science journals and present at IEEE conferences
- Mentor junior researchers and cross-functional AI development teams
- Secure federal and private funding for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 5+ years of experience in quantum algorithms or quantum machine learning
- Publication record in quantum computing or AI research (arXiv, Nature, etc.)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and frameworks
- Deep understanding of quantum error correction and fault-tolerant systems
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in cryptography and information theory
- Experience securing government research grants preferred