Job Description
We are pioneering the technological landscape of the near future. Our mission is to build the foundational systems for the year 2026, integrating Artificial Intelligence with Quantum Computing and Neural Interfaces. We are seeking a visionary Senior AI Architect to lead our engineering efforts in designing scalable, ethical, and revolutionary software solutions.
As a key member of our elite R&D team, you will define the architecture for next-generation neural networks and bridge the gap between theoretical AI and practical, high-impact applications. If you are obsessed with the future of technology and want to leave a legacy in the tech stack of tomorrow, we want to hear from you.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable AI architectures that support the complex demands of 2026 and beyond, utilizing emerging tech stacks.
- Lead R&D Initiatives: Spearhead research into Generative AI, Large Language Models (LLMs), and Quantum Machine Learning integration.
- Code Review & Mentorship: Provide technical leadership to junior engineers, ensuring code quality, security, and adherence to futuristic best practices.
- Strategic Innovation: Identify emerging trends in AI and hardware integration to keep Nebula Systems at the forefront of technological evolution.
- Cross-Functional Collaboration: Work closely with product managers, designers, and quantum physicists to translate theoretical concepts into production-ready software.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI or Quantum Physics.
- Experience: 7+ years of professional experience in software engineering, with at least 3 years in a senior architectural or lead role.
- Technical Stack: Proficiency in Python, C++, TensorFlow, PyTorch, and experience with cloud platforms (AWS/GCP/Azure).
- Future-Ready Mindset: Demonstrated ability to work with bleeding-edge technologies and a deep understanding of the AI/ML landscape.
- Problem Solving: Exceptional analytical skills with a track record of solving complex, ambiguous technical problems.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.