Job Description
Shape the Future of Computing with Nebula Systems
We are seeking a visionary AI & Quantum Integration Architect to lead our R&D initiatives in preparation for the technological paradigm shift of 2026. In this pivotal role, you will bridge the gap between classical artificial intelligence and emerging quantum computing technologies, designing scalable systems that solve complex problems in logistics, finance, and healthcare. If you are passionate about pushing the boundaries of what is possible and want to define the architecture of tomorrow, we want to hear from you.
Why Join Us?
- Work on cutting-edge technology that defines the era of 2026.
- Competitive compensation and equity package.
- Flexible remote-first work culture.
- Access to state-of-the-art computing resources and quantum hardware.
Responsibilities
Responsibilities
- Architect and design hybrid quantum-classical algorithms to optimize performance for 2026 workloads.
- Collaborate with cross-functional teams to integrate quantum modules into existing AI infrastructures.
- Lead the research and development of error mitigation techniques for near-term quantum processors.
- Define technical roadmaps and best practices for scalable AI systems.
- Mentor junior engineers and researchers in advanced computational methods.
- Conduct feasibility studies to determine the potential impact of quantum computing on our core products.
Qualifications
Qualifications
- Master’s or Ph.D. in Computer Science, Physics, Mathematics, or a related technical field.
- Minimum of 5+ years of experience in software engineering, with a focus on machine learning and data science.
- Strong understanding of quantum mechanics fundamentals and quantum computing concepts (e.g., superposition, entanglement, qubits).
- Proficiency in Python, C++, and quantum programming frameworks such as Qiskit, Cirq, or TensorFlow Quantum.
- Experience with cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical ideas to non-technical stakeholders.