Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-generation solutions merging quantum computing with artificial intelligence to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research, with competitive compensation and equity packages. We foster a culture of radical innovation where your ideas shape tomorrow's reality.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era AI systems
- Develop hybrid quantum-classical algorithms to optimize machine learning workflows
- Lead cross-functional teams in prototyping quantum-AI applications for healthcare and logistics
- Contribute to patentable quantum computing methodologies with industry impact
- Collaborate with MIT and Stanford researchers on cutting-edge quantum-AI convergence
- Translate theoretical quantum models into deployable engineering solutions
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Proven track record in publishing quantum-AI research in top-tier journals
- Mastery of Python, TensorFlow/PyTorch, and high-performance computing frameworks
- Experience with quantum hardware integration (IBM Quantum, Rigetti, or IonQ)
- Demonstrated ability to translate complex quantum concepts into practical applications
- Strong background in quantum error correction and fault-tolerant systems