Job Description
Join the Vanguard of Tomorrow
We are seeking a visionary Lead Architect to spearhead Project 2026, our most ambitious initiative to redefine the boundaries of Artificial General Intelligence. As we march toward the 2026 milestone, you will build the foundational neural architectures that power the next generation of autonomous systems. If you are obsessed with scalability, ethical AI, and pushing the technological envelope, we want you on our team.
Why Join Us?
Work with the brightest minds in Silicon Valley. We offer competitive equity, a fully remote-first culture with a premium office in SOMA, and the opportunity to leave a lasting legacy on the future of technology.
Responsibilities
- Architectural Vision: Define and execute the high-level technical strategy for Project 2026, ensuring our systems are scalable, secure, and future-proof.
- System Design: Design complex distributed neural networks and machine learning pipelines capable of processing petabytes of data in real-time.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
- Cross-Functional Collaboration: Partner with product managers, researchers, and stakeholders to translate theoretical research into deployable production-grade code.
- Risk Management: Identify potential technical bottlenecks and architectural risks early in the development lifecycle.
- Performance Optimization: Continuously optimize model latency, accuracy, and resource utilization to meet rigorous performance benchmarks.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field from a top-tier institution.
- Experience: 8+ years of experience in software engineering, with at least 3 years in a Lead Architect or Staff Engineer role.
- Technical Stack: Deep expertise in Python, C++, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
- AI Specialization: Proven track record of developing state-of-the-art Large Language Models (LLMs) or Generative AI systems.
- Problem Solving: Exceptional ability to solve ambiguous problems and navigate uncharted technical territories.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to diverse audiences.