Job Description
We are seeking a visionary Principal AI Architect to spearhead our groundbreaking research and development initiatives leading into the year 2026. At Nebula Tech, we are building the infrastructure for tomorrow, integrating Generative AI, Quantum Computing, and Advanced Neural Networks. If you are passionate about defining the technological landscape of the future, we want to meet you.
As a key leader in our organization, you will bridge the gap between theoretical AI research and practical, scalable engineering solutions. You will define the architectural standards that will power our products for the next decade, ensuring robustness, scalability, and ethical AI implementation.
Why join us?
- Work on cutting-edge technology that defines the future.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a premium office in SF.
- Continuous learning opportunities and access to state-of-the-art hardware.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of large-scale AI systems, focusing on high availability and fault tolerance.
- Research & Development: Lead the exploration of emerging AI paradigms, including Transformer models and Quantum AI algorithms.
- Strategic Planning: Define the technical roadmap for our AI infrastructure to align with business goals and 2026 vision.
- Team Mentorship: Mentor senior engineers and architects, fostering a culture of technical excellence and innovation.
- Model Optimization: Optimize deep learning models for performance, speed, and energy efficiency on diverse hardware architectures.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and security experts to integrate AI seamlessly into our ecosystem.
- Compliance & Ethics: Ensure all AI implementations adhere to strict ethical guidelines and data privacy regulations (GDPR, CCPA).
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence or Machine Learning.
- Experience: 8+ years of professional experience in software engineering, with at least 4 years in a senior or leadership role focused on AI/ML.
- Technical Skills: Deep expertise in Python, C++, and Rust. Proven experience with PyTorch, TensorFlow, or JAX.
- Advanced Knowledge: Strong understanding of Large Language Models (LLMs), Reinforcement Learning, and distributed systems.
- Quantum Computing: Familiarity with quantum computing concepts (Qiskit, Cirq) is a significant plus.
- Problem Solving: Exceptional ability to solve complex technical challenges and make architectural trade-offs under pressure.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.