Job Description
Are you ready to shape the future of technology? Nebula Dynamics is leading the 2026 Horizon Initiative, a groundbreaking research program focused on the convergence of Generative AI and Quantum Computing. We are seeking a visionary Senior AI Architect to design the next generation of autonomous systems.
In this role, you won't just write code; you will architect the infrastructure that powers the future of commerce, healthcare, and space exploration. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to meet you.
Why Join Nebula Dynamics?
- Impactful Work: Directly contribute to the core roadmap for 2026.
- Top-Tier Talent: Work alongside Ph.D. researchers and industry veterans.
- Equity Package: Competitive stock options in a Series C startup.
- Flexible Environment: Hybrid work model based in the heart of SF.
Responsibilities
- Design the 2026 Architecture: Lead the architectural design of scalable, fault-tolerant AI systems capable of processing petabytes of data in real-time.
- Model Optimization: Develop and fine-tune Large Language Models (LLMs) specifically optimized for edge computing environments.
- Research & Development: Stay at the forefront of AI trends, specifically focusing on Reinforcement Learning and Neural Symbolic AI.
- Technical Leadership: Mentor a team of junior data scientists and engineers, conducting code reviews and technical architecture reviews.
- System Integration: Integrate AI solutions seamlessly into existing legacy infrastructures, ensuring minimal disruption and maximum performance.
- Performance Tuning: Continuously monitor system latency and throughput, implementing optimizations to ensure sub-millisecond response times.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of professional experience in software engineering, with at least 4 years focused on AI/ML architecture.
- Technical Stack: Proficiency in Python, C++, and Rust. Deep knowledge of TensorFlow, PyTorch, and Hugging Face Transformers.
- System Design: Proven track record of designing distributed systems at scale using Kubernetes, Docker, and cloud-native technologies (AWS/GCP).
- Problem Solving: Strong analytical skills with the ability to deconstruct complex problems into actionable technical roadmaps.
- Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders and executive leadership.