Job Description
Are you ready to define the infrastructure of tomorrow?
At Nebula Dynamics, we are not just predicting the future; we are architecting it. We are seeking a visionary Senior AI Architect to lead the development of our proprietary neural networks and quantum-ready systems for the year 2026 and beyond. If you are passionate about pushing the boundaries of artificial intelligence and want to solve problems that seem impossible today, this is your opportunity to shape the technological landscape.
Why Join Us?
- Impactful Work: Build core systems that will define the next decade of human-computer interaction.
- Future-Ready: Work with cutting-edge technologies, including hybrid quantum computing and edge AI.
- Competitive Compensation: Base salary + Performance Bonuses + Equity.
- Flexible Environment: Hybrid work model with a focus on innovation and creativity.
We are looking for a leader who thrives in ambiguity and can translate complex theoretical concepts into scalable, robust engineering solutions.
Responsibilities
- System Architecture: Design and oversee the deployment of large-scale machine learning infrastructure capable of handling petabyte-scale data streams.
- Quantum Integration: Collaborate with quantum physicists to integrate quantum algorithms into classical AI workflows for hybrid processing tasks.
- Team Leadership: Mentor a team of 5+ senior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Optimization: Continuously refine model accuracy and reduce latency to ensure real-time processing capabilities.
- Strategic Planning: Define the technical roadmap for AI capabilities through 2030, ensuring alignment with business goals.
- Prototyping: Rapidly prototype and validate new AI methodologies in sandbox environments before full-scale rollout.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in a senior leadership role within AI/ML.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS/GCP/Azure).
- Leadership: Proven track record of managing cross-functional teams and delivering complex projects on time.
- Problem Solving: Exceptional ability to troubleshoot complex system failures and architect resilient solutions.
- Communication: Ability to communicate highly technical concepts to non-technical stakeholders and executive leadership.