Job Description
Join the Architects of Tomorrow.
Nebula Dynamics is pioneering the next generation of artificial intelligence, merging the power of quantum computing with deep learning. We are seeking a visionary Quantum AI Research Engineer to help us build the technological foundation for the year 2026 and beyond. If you are passionate about pushing the boundaries of what is possible in code and physics, we want to meet you.
In this role, you will bridge the gap between theoretical quantum mechanics and practical machine learning applications, working on projects that will redefine computational limits.
Why Join Us?
- Work with state-of-the-art hardware and software.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with a vibrant HQ in San Francisco.
Responsibilities
- Develop and implement novel quantum algorithms for machine learning tasks, specifically focusing on variational quantum eigensolvers and quantum neural networks.
- Collaborate with a multidisciplinary team of physicists, computer scientists, and hardware engineers to optimize quantum hardware performance.
- Prototype and test hybrid quantum-classical models to solve complex optimization problems in real-time.
- Conduct rigorous research to identify new applications of quantum advantage in large-scale data analysis.
- Write high-quality, scalable code and document research findings for peer review and patent applications.
Qualifications
- PhD or Master's degree in Computer Science, Physics, Mathematics, or a related field with a strong focus on Quantum Mechanics or Machine Learning.
- Proven experience with quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- Strong proficiency in Python, C++, and standard machine learning libraries (TensorFlow, PyTorch).
- Experience with quantum error correction and noise mitigation techniques.
- Excellent problem-solving skills and the ability to think abstractly about complex systems.
- Strong communication skills, with the ability to translate complex technical concepts to diverse audiences.