Job Description
We are building the infrastructure for tomorrow. QuantumCore Systems is seeking a visionary Senior AI Architect to lead the 'Project 2026' initiative—a revolutionary framework designed to redefine the boundaries of generative intelligence and neural processing.
In this pivotal role, you will not just write code; you will architect the future. You will collaborate with top-tier engineers to deploy cutting-edge models capable of autonomous reasoning and adaptive learning. If you are passionate about pushing the envelope of what is possible in AI, we want to hear from you.
Why join us?
- Work with state-of-the-art hardware and software stacks.
- Competitive equity package and performance bonuses.
- Flexible remote-first policy with a premium San Francisco office.
Responsibilities
- Lead Architectural Vision: Design and oversee the development of scalable, high-performance AI systems tailored for the 2026 technological landscape.
- Model Optimization: Spearhead the optimization of large-scale neural networks to ensure low-latency inference and high accuracy.
- Technical Strategy: Define the technical roadmap for AI integration, ensuring alignment with business objectives and future scalability.
- Mentorship: Cultivate a high-performance engineering culture by mentoring junior developers and conducting technical workshops.
- R&D Integration: Bridge the gap between theoretical research and practical application, implementing novel algorithms in production environments.
- Security & Compliance: Ensure all AI deployments adhere to strict data privacy and ethical AI guidelines.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering with a heavy focus on Machine Learning and Deep Learning.
- Core Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- System Design: Proven track record of designing complex, fault-tolerant systems at scale.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Adaptability: Deep understanding of emerging trends in AI, including LLMs, reinforcement learning, and quantum computing interfaces.