Job Description
Are you ready to define the landscape of 2026? Nebula Dynamics is seeking a visionary AI & Quantum Architect to lead our next-generation computing initiatives. We are building the neural infrastructure of tomorrow, blending classical machine learning with cutting-edge quantum computing to solve the world's most complex problems.
In this role, you will not just write code; you will architect the future. You will be responsible for designing scalable, hybrid AI systems that leverage quantum supremacy to outperform traditional silicon-based solutions. If you have a passion for pushing the boundaries of what is possible and want to shape the technological roadmap for the upcoming decade, we want to meet you.
Why Join Nebula Dynamics?
- Work on projects that redefine the boundaries of technology.
- Competitive compensation package and equity options.
- Flexible remote-first culture with hubs in San Francisco.
- Access to state-of-the-art quantum hardware and research labs.
Responsibilities
- Design and architect hybrid AI/quantum systems that integrate classical and quantum computing paradigms.
- Lead the research and implementation of quantum algorithms to solve complex optimization problems.
- Collaborate with cross-functional teams to translate business requirements into technical roadmaps.
- Mentor a team of brilliant engineers and researchers in advanced AI techniques.
- Ensure system scalability, security, and performance in high-throughput environments.
- Publish research findings and present architectural visions to stakeholders and industry leaders.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
- Minimum of 5 years of professional experience in machine learning, deep learning, or software architecture.
- Proven experience with quantum computing frameworks (e.g., Qiskit, Cirq) or equivalent research experience.
- Strong proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Deep understanding of linear algebra, calculus, and statistical modeling.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences.