Job Description
Join Nexus Quantum Solutions at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that bridge quantum computing and artificial intelligence, transforming industries from healthcare to climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate breakthrough discoveries.
We value visionary thinkers who thrive at the intersection of physics and machine learning. If you're passionate about shaping the future of computational intelligence, this is your opportunity to leave an indelible mark on 2026's technological landscape.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for real-world optimization problems
- Lead cross-functional teams in developing quantum neural networks and machine learning models
- Collaborate with hardware engineers to optimize quantum computing workflows
- Publish breakthrough research in top-tier journals and conferences
- Drive patent development for novel quantum-AI methodologies
- Mentor junior researchers and foster a culture of scientific excellence
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on quantum algorithm development experience
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and quantum SDKs
- Publication record in quantum computing or AI research
- Strong background in linear algebra, probability, and quantum mechanics
- Proficiency in Python/C++ and high-performance computing environments
- Demonstrated ability to translate theoretical concepts into practical solutions