Job Description
Are you ready to architect the landscape of tomorrow? Nebula Dynamics is seeking a visionary Senior AI Architect to lead our R&D division in San Francisco. As we gear up for the technological leaps defining 2026 and beyond, we need a pioneer who isn't just adapting to change, but creating it.
Join a team of elite engineers and data scientists dedicated to pushing the boundaries of artificial intelligence. You will define the core infrastructure for our next-generation products, ensuring scalability, efficiency, and ethical AI integration. This is a rare opportunity to shape the future of technology in one of the world's most vibrant tech hubs.
Why You'll Love Working Here:
- Work on cutting-edge projects that will define the industry in 2026.
- Competitive compensation package with equity opportunities.
- Flexible remote and hybrid work options.
- Access to state-of-the-art computing resources.
Responsibilities
- Architect Next-Gen AI Systems: Design, develop, and deploy scalable machine learning models and neural networks that power our core platform.
- R&D Leadership: Lead the research and development strategy for AI technologies, identifying trends and opportunities for innovation.
- Technical Strategy: Define the long-term technical roadmap for AI integration, ensuring alignment with business goals and future-proofing our infrastructure.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Performance Optimization: Continuously monitor and optimize model performance, reducing latency and improving accuracy.
- Cross-Functional Collaboration: Partner with product managers, designers, and engineers to translate complex business requirements into technical solutions.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: Minimum of 7+ years of professional experience in software engineering or data science, with a strong focus on AI/ML.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks. Strong understanding of distributed systems and cloud architecture (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex technical problems and innovate under pressure.
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Passion for the Future: A deep interest in emerging technologies and a desire to build solutions that will be relevant in the 2026 landscape and beyond.