Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Nebula Future Tech is seeking a visionary Lead Quantum AI Architect to pioneer the next generation of computational intelligence. We are building the core infrastructure for the quantum revolution, and we need a leader who can bridge the gap between abstract quantum physics and practical, scalable AI applications.
In this pivotal role, you will not just write code; you will define the algorithms that will power the world's most complex data problems. You will work in a cutting-edge environment where your solutions will have a tangible impact on industries ranging from healthcare to cryptography.
Why Join Us?
- Work on the bleeding edge of technology with a team of world-class engineers and scientists.
- Competitive compensation package and equity opportunities.
- Flexible remote-first culture with state-of-the-art offices in San Francisco.
Responsibilities
- Design and implement scalable quantum algorithms tailored for machine learning and artificial intelligence tasks.
- Lead a multidisciplinary team of quantum physicists and software engineers to translate theoretical models into production-ready code.
- Collaborate with hardware teams to optimize quantum circuit designs for specific processors (e.g., superconducting or trapped ion qubits).
- Develop hybrid classical-quantum machine learning models to solve problems currently considered unsolvable.
- Mentor junior developers and conduct technical workshops on quantum computing best practices.
- Stay ahead of the curve by researching emerging quantum technologies and methodologies.
Qualifications
- Ph.D. or Master's degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Mechanics.
- 5+ years of experience in software engineering, with at least 2 years specifically in quantum computing or advanced AI research.
- Proficiency in quantum programming frameworks such as Qiskit, Cirq, or Amazon Braket.
- Strong programming skills in Python and C++ with a deep understanding of data structures and algorithms.
- Experience with classical machine learning libraries (TensorFlow, PyTorch) and their quantum equivalents.
- Proven track record of leading technical teams and managing project lifecycles.