Job Description
Are you ready to define the technological landscape of 2026?
Nebula Innovations is on a mission to pioneer the next generation of computing. We are seeking a visionary Senior AI & Quantum Architect to lead the integration of classical machine learning with cutting-edge quantum computing paradigms. This is not just a job; it is an opportunity to shape the future of enterprise intelligence.
In this role, you will bridge the gap between theoretical physics and practical engineering, designing scalable systems that leverage quantum advantage for real-world applications. If you thrive in a fast-paced, high-impact environment and want to work on projects that will define the decade, we want to hear from you.
Why Join Us?
- Work with a world-class team of researchers and engineers.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a premium San Francisco office.
- Access to state-of-the-art quantum hardware and AI labs.
Key Responsibilities:
Responsibilities
- Architect and design end-to-end AI systems that leverage quantum processors and classical accelerators.
- Develop novel algorithms for quantum annealing and gate-based quantum computing.
- Collaborate with cross-functional teams to translate complex business requirements into technical quantum solutions.
- Optimize neural networks and deep learning models for hybrid quantum-classical environments.
- Lead code reviews and mentor junior architects and engineers in quantum best practices.
- Stay abreast of the latest advancements in quantum hardware and AI research.
- Define technical roadmaps for the integration of quantum technologies into our core product suite.
Qualifications:
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
- 5+ years of professional experience in AI/ML architecture, with a focus on large-scale systems.
- Experience with quantum computing frameworks (e.g., Qiskit, Cirq, PennyLane) or classical simulation tools.
- Strong proficiency in Python, C++, and distributed systems.
- Deep understanding of linear algebra, optimization, and statistical mechanics.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse stakeholders.
- Passion for the future of technology and a proactive approach to problem-solving.