Job Description
Are you ready to define the technology stack of tomorrow?
Nebula Dynamics is on a mission to pioneer the technological landscape of 2026. We are seeking a visionary Senior AI Architect to lead our R&D division, bridging the gap between theoretical quantum mechanics and practical, scalable artificial intelligence infrastructure. If you want to build the systems that will define the next decade of human progress, we want to hear from you.
Why Join Us?
- Impact: Architect the core infrastructure for our 2026 roadmap.
- Innovation: Work with cutting-edge quantum simulators and next-gen neural networks.
- Equity: Competitive stock options in a high-growth startup.
Role Overview:
In this pivotal role, you will design robust AI systems capable of operating in edge environments and cloud ecosystems. You will mentor a team of elite engineers and collaborate with data scientists to translate abstract concepts into deployable code.
Responsibilities
- Lead Architectural Design: Design and oversee the implementation of scalable AI infrastructure tailored for future hardware capabilities (2026+ standards).
- R&D Leadership: Spearhead research initiatives to integrate quantum computing concepts into classical machine learning pipelines.
- System Optimization: Drive performance optimization for large-scale neural networks and data processing systems.
- Talent Development: Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to define technical roadmaps and deliver high-impact features.
- Code Review & Standards: Establish and enforce best practices for coding, security, and system architecture across the organization.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field; Ph.D. preferred.
- Experience: 8+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Skills: Proficiency in Python, C++, Rust, and cloud platforms (AWS, GCP, Azure).
- AI Expertise: Deep understanding of deep learning frameworks (TensorFlow, PyTorch) and experience with quantum simulation libraries (Qiskit, Cirq).
- Leadership: Proven track record of leading high-performing engineering teams and managing complex projects.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse audiences.