Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration for 2026. We're seeking visionary Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into tangible innovations.
This role represents a unique opportunity to shape the future of technology while collaborating with Nobel laureates and industry pioneers. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity packages.
Responsibilities
- Design and implement quantum machine learning frameworks for next-gen computational systems
- Lead cross-functional teams in developing AI solutions for quantum hardware optimization
- Author peer-reviewed publications on quantum-AI hybrid systems
- Collaborate with hardware engineers to validate quantum algorithms on experimental processors
- Secure external funding through NSF and DARPA grant applications
- Mentor junior researchers in emerging quantum computing paradigms
Qualifications
- PhD in Quantum Computing, AI, or related computational field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Publication record in top-tier journals (Nature, Science, etc.)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) with quantum extensions
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability, and information theory