Job Description
Are you ready to architect the future of intelligence? Nebula Dynamics is seeking a visionary Senior AI & Quantum Architect to lead our cutting-edge research division. As we push the boundaries of what is possible in 2026, you will be at the helm of designing scalable neural networks and quantum algorithms that will redefine the technological landscape.
In this pivotal role, you will bridge the gap between theoretical machine learning and practical quantum computing applications. We offer a competitive compensation package, equity opportunities, and a collaborative environment where innovation is not just encouraged—it is required.
Why join us?
- Work on projects that have a direct impact on the future of humanity.
- Access to state-of-the-art quantum hardware and cloud infrastructure.
- Competitive salary and equity package ($180k - $250k).
- Flexible remote-first culture with a hub in the heart of San Francisco.
Responsibilities
- Architect and deploy scalable AI models and quantum computing solutions tailored for 2026 enterprise needs.
- Lead the research and development of advanced algorithms, focusing on generative AI and quantum optimization.
- Collaborate with cross-functional teams including hardware engineers, data scientists, and product managers.
- Mentor junior engineers and foster a culture of continuous learning and technical excellence.
- Ensure the security, efficiency, and scalability of deployed systems.
- Stay ahead of industry trends to integrate emerging technologies into our core product stack.
Qualifications
- Master’s or Ph.D. in Computer Science, Physics, or a related quantitative field.
- Minimum of 5+ years of experience in software engineering and machine learning.
- Proficiency in Python, C++, and TensorFlow or PyTorch.
- Experience with quantum computing frameworks (Qiskit, Cirq, or similar) is highly preferred.
- Strong problem-solving skills and ability to work in a fast-paced, agile environment.
- Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders.