Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that push the boundaries of computational possibility. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough innovations.
We're seeking visionaries who thrive at the intersection of physics, machine learning, and ethics. You'll collaborate with Nobel laureates and industry disruptors to develop quantum neural networks, optimize quantum-resistant cryptography, and create AI systems that operate at quantum speed. This isn't just a job—it's your chance to shape the technological landscape of the coming decade.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead research in quantum neural network architectures and optimization techniques
- Develop quantum-resistant security protocols for next-gen AI systems
- Collaborate with hardware teams to bridge quantum software-hardware integration gaps
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and drive cross-functional innovation projects
- Stay ahead of emerging quantum/AI convergence trends through continuous learning
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Expertise in machine learning frameworks (TensorFlow/PyTorch) and algorithm development
- Proven track record of publishing peer-reviewed research in quantum/AI
- Deep understanding of quantum algorithms, error correction, and hardware constraints
- Strong background in high-performance computing and parallel processing
- Ability to translate complex quantum concepts into practical AI solutions