Job Description
Are you ready to shape the technological landscape of 2026 and beyond? FutureCore Technologies is pioneering the intersection of quantum mechanics and artificial intelligence. We are looking for a visionary Senior Quantum AI Architect to lead our research division in San Francisco. In this role, you won't just write code; you will architect the fundamental logic that powers the next generation of intelligent systems.
Join a team of world-class engineers, physicists, and data scientists dedicated to solving humanity's most complex problems. We offer a competitive compensation package, equity options, and the opportunity to work on groundbreaking projects that will define the future of computing.
Why Join FutureCore?
- Work at the forefront of Quantum Computing and AI convergence.
- Competitive compensation and equity package.
- Flexible remote-first culture with a hub in the heart of SF.
- Continuous learning opportunities and cutting-edge tech stack.
Responsibilities
- Design and implement scalable quantum algorithms for machine learning applications, bridging the gap between theory and production.
- Optimize neural network models to run efficiently on hybrid quantum-classical hardware architectures.
- Lead architectural reviews and mentor junior engineers in quantum software engineering best practices.
- Collaborate with theoretical physicists and data scientists to translate complex physics concepts into practical software solutions.
- Drive the technical roadmap for FutureCore’s flagship AI product line, ensuring scalability and performance.
- Stay abreast of the latest advancements in quantum hardware and contribute to internal R&D initiatives.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- Proven experience (5+ years) in AI/ML architecture, deep learning frameworks (TensorFlow, PyTorch), and large-scale model deployment.
- Hands-on experience with quantum computing libraries (Qiskit, Cirq, or PennyLane) or quantum hardware simulation platforms.
- Strong proficiency in Python, C++, and cloud infrastructure (AWS, Azure, or GCP).
- Exceptional problem-solving skills and a passion for emerging technologies.
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.