Job Description
Shape the future at Nexus Dynamics, where quantum computing meets artificial intelligence. We're pioneering the next frontier of computational intelligence and seeking visionary minds to accelerate breakthroughs in 2026 and beyond. Join our elite research team in San Francisco, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges.
Our state-of-the-art lab offers unparalleled resources, including quantum processors with 1000+ qubits and dedicated AI supercomputing clusters. We offer competitive equity packages, flexible work arrangements, and unparalleled opportunities to publish groundbreaking research in top-tier journals.
Responsibilities
- Design and implement novel quantum algorithms for machine learning optimization
- Lead cross-functional projects combining quantum computing with deep neural networks
- Develop error-correction protocols for practical quantum AI applications
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Publish research in Nature/Science journals and present at premier conferences
- Mentor junior researchers and drive innovation in quantum machine 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 (PyTorch, TensorFlow) and high-performance computing
- Published research in quantum computing or quantum machine learning
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Proven ability to translate theoretical concepts into practical implementations