Job Description
Are you ready to engineer the future?
Nebula Dynamics is pioneering the technology roadmap for 2026, focusing on next-generation AI, neural interfaces, and quantum-assisted computing. We are looking for a visionary AI Architect to lead our engineering efforts in building scalable, intelligent systems that will define the era ahead.
In this role, you will bridge the gap between theoretical AI research and production-grade infrastructure. You will work alongside world-class researchers and engineers to deploy models that are not just smart, but adaptive and resilient in real-world environments.
Why Join Us?
- Work on groundbreaking projects that set the standard for 2026.
- Competitive compensation and equity packages.
- Flexible remote-first policy with access to premium tech hubs.
- Continuous learning budget and access to the latest hardware.
Responsibilities
- Architect Scalable Systems: Design and implement robust AI infrastructure capable of handling petabyte-scale data streams and millions of concurrent users.
- Model Optimization: Lead the optimization of deep learning models for latency, accuracy, and energy efficiency, ensuring deployment on edge devices.
- Roadmap Execution: Translate the 2026 technical vision into actionable engineering milestones and technical specifications.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and security experts to integrate AI solutions seamlessly into our ecosystem.
- Code Review & Mentorship: Establish and enforce high coding standards, conducting rigorous code reviews and mentoring junior engineers.
- Innovation Labs: Experiment with emerging technologies such as generative adversarial networks (GANs) and transformer models to push the boundaries of current capabilities.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of professional experience in software engineering, with at least 4 years focused on Machine Learning and AI infrastructure.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or JAX. Strong understanding of distributed systems (Kubernetes, Docker) and cloud platforms (AWS, GCP).
- System Design: Proven track record of designing high-availability, fault-tolerant systems.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.
- Problem Solving: Demonstrated ability to troubleshoot complex architectural issues and innovate under pressure.