Job Description
About Us: Nebula Dynamics is at the forefront of the next industrial revolution. We are building the foundational architecture for the year 2026 and beyond, specializing in autonomous systems, generative AI, and quantum-ready cloud infrastructures. We are seeking a visionary Senior AI & Future Tech Architect to lead our engineering division.
Role Overview:
In this pivotal role, you will bridge the gap between theoretical future-tech concepts and deployable production systems. You will define the technical roadmap for our AI initiatives, ensuring scalability, security, and ethical alignment for the next generation of digital intelligence.
Why Join Us?
- Work on high-impact projects that shape the future of humanity.
- Competitive compensation package and equity options.
- Flexible remote-first policy with access to premium SF amenities.
- Access to cutting-edge hardware and proprietary datasets.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of scalable, fault-tolerant AI systems and distributed computing architectures.
- Tech Strategy: Evaluate emerging technologies (e.g., Neuromorphic computing, AGI pathways) and integrate them into our 2026 strategic roadmap.
- Model Optimization: Lead the optimization of large language models and reinforcement learning agents to maximize inference efficiency.
- Team Mentorship: Foster a culture of innovation, guiding junior engineers and data scientists through complex technical challenges.
- Cross-Functional Collaboration: Partner with product managers and legal teams to ensure AI solutions align with safety protocols and business objectives.
- Performance Monitoring: Establish rigorous A/B testing and performance monitoring frameworks for all deployed AI agents.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-stakes environments.
- Communication: Exceptional ability to translate complex technical concepts into actionable business strategies.
- Future-Forward Mindset: Demonstrated interest and experience in emerging tech trends such as Edge AI, Federated Learning, or LLM fine-tuning.