Job Description
We are seeking a visionary Future Tech Architect to lead the next generation of intelligent systems. In this pivotal role, you will bridge the gap between classical AI and emerging quantum computing paradigms to build scalable, high-performance solutions for 2026 and beyond. You will work in a collaborative, high-velocity environment where innovation is the currency and the future is being written today.
Why Join Nebula Core Systems?
- Work at the forefront of Artificial Intelligence and Quantum Computing integration.
- Competitive equity package and benefits.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to mentor junior engineers and shape technical strategy.
If you are passionate about solving complex problems and building the infrastructure for tomorrow, we want to hear from you.
Responsibilities
- Architect and implement advanced machine learning models and quantum algorithms tailored for complex enterprise data sets.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical roadmaps.
- Optimize existing neural networks and quantum circuit designs for improved efficiency and reduced latency.
- Conduct rigorous code reviews and establish best practices for AI and quantum software development.
- Stay abreast of the latest advancements in AI, Quantum Hardware, and Edge Computing.
- Debug complex system integrations and ensure high availability of production systems.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
- 5+ years of professional experience in software engineering, with at least 3 years specializing in AI/ML.
- Proficiency in Python, C++, and experience with deep learning frameworks like TensorFlow or PyTorch.
- Familiarity with quantum computing concepts (Qiskit, Cirq) is highly preferred.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.