Job Description
Are you ready to shape the technological landscape of 2026 and beyond? Nebula Horizon Systems is seeking a visionary Senior AI & Quantum Architect to lead our next-generation research initiatives. In this high-impact role, you will design and implement scalable, ethical, and high-performance artificial intelligence systems that bridge the gap between classical computing and quantum supremacy.
We are looking for a pioneer who thrives in a fast-paced, innovative environment and is driven by the challenge of solving humanity's most complex problems through advanced technology. If you have a passion for the future of computing and a track record of technical excellence, we invite you to join our elite team.
Why Join Us?
- Future-Forward Technology: Work on cutting-edge AI models and quantum integration before they hit the mainstream.
- Competitive Compensation: Generous base salary plus performance-based equity grants.
- Remote-First Culture: Flexible work arrangements with state-of-the-art remote infrastructure.
- Professional Growth: Continuous learning budgets and access to top-tier conferences.
Responsibilities
- Design and architect scalable machine learning pipelines optimized for quantum processors and heterogeneous hardware.
- Lead the research and implementation of Large Language Models (LLMs) with a focus on explainability and reduced bias.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical roadmaps.
- Ensure data privacy, security, and ethical compliance across all AI deployment stages.
- Mentor junior developers and conduct code reviews to maintain high engineering standards.
- Optimize model inference speeds and reduce computational costs in cloud environments.
- Stay abreast of emerging trends in AI, edge computing, and quantum mechanics.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- 7+ years of professional experience in software engineering and machine learning development.
- Deep proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with quantum computing libraries (e.g., Qiskit, Cirq) or cloud ML platforms (AWS SageMaker, GCP AI Platform).
- Strong understanding of distributed systems, microservices architecture, and cloud infrastructure.
- Proven track record of leading technical projects from conception to production deployment.
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.