Job Description
We are seeking a visionary Senior AI & Future Tech Lead to architect the next generation of intelligent systems. As we prepare for the technological landscape of 2026, you will be at the forefront of integrating Generative AI, Quantum Computing, and Neural Interfaces into scalable enterprise solutions.
At Nebula Dynamics, we don't just predict the future; we build it. You will lead a world-class team of engineers and data scientists, pushing the boundaries of what is possible in Artificial General Intelligence (AGI) and autonomous systems.
Why join us?
- Work on cutting-edge projects that define the industry standard for 2026 and beyond.
- Competitive compensation and equity packages.
- Unlimited PTO and flexible remote-first culture.
- Access to the latest hardware for AI research and development.
Responsibilities
- Lead R&D Initiatives: Spearhead research and development of advanced machine learning models, focusing on scalability and ethical AI implementation.
- System Architecture: Design and implement robust, scalable AI infrastructure capable of processing petabytes of data in real-time.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Roadmap: Define the technical roadmap for AI products, ensuring alignment with business goals for the 2026 fiscal year.
- Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate complex technical concepts into user-friendly solutions.
- Pipeline Optimization: Continuously improve data pipelines and model inference speeds to enhance system performance and user experience.
Qualifications
- Education: Master’s or PhD in Computer Science, Robotics, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in machine learning, deep learning, or AI engineering, with at least 3 years in a leadership or senior architecture role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA; strong understanding of Large Language Models (LLMs) and Transformer architectures.
- Cloud Expertise: Extensive experience designing distributed systems on AWS, GCP, or Azure.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems and innovate under tight deadlines.
- Communication: Exceptional verbal and written communication skills, with the ability to present technical strategies to non-technical stakeholders.