Job Description
The Future is Now. Nova Horizon Labs is pioneering the infrastructure that will define the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI & Quantum Systems Architect to lead our research and development division. If you are passionate about bridging the gap between artificial intelligence and quantum computing, this is your opportunity to shape the world's next generation of intelligent systems.
As a key member of our elite R&D team, you will be responsible for designing scalable architectures that integrate classical machine learning with emerging quantum algorithms. You will work at the intersection of data science, physics, and engineering, solving complex problems that have never been solved before.
Why Join Us?
- Work on cutting-edge technology that is currently shaping the industry roadmap for 2026.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art offices in San Francisco.
Responsibilities
- System Architecture: Design and deploy robust, scalable hybrid quantum-classical systems capable of handling massive datasets in real-time.
- Algorithm Development: Lead the creation of novel algorithms that leverage quantum supremacy for optimization and machine learning tasks.
- Team Leadership: Mentor a diverse team of data scientists and quantum engineers, fostering a culture of innovation and technical excellence.
- Strategic Roadmapping: Define the technical roadmap for our AI infrastructure, ensuring alignment with our 2026 vision.
- Collaboration: Partner with cross-functional teams, including product management and engineering, to translate complex research into commercial applications.
- Risk Management: Identify potential technical bottlenecks and implement mitigation strategies early in the development lifecycle.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Quantum Knowledge: Deep understanding of quantum computing principles (Qubits, Superposition, Entanglement) and experience with quantum frameworks (Qiskit, Cirq, or PyQuil).
- Programming: Proficiency in Python, C++, and Rust, with experience in distributed systems (Kubernetes, Docker).
- AI Expertise: Proven track record of deploying Large Language Models (LLMs) and Deep Learning architectures at scale.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.