Job Description
Are you ready to define the future?
Nexus Core Technologies is seeking a visionary AI Systems Architect to spearhead our 2026 Horizon Initiative. We are not just building software; we are architecting the cognitive layer of the digital universe. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production infrastructure.
Join a team of elite engineers and data scientists dedicated to solving the world's most complex computational challenges. As we look toward 2026, we need a leader who can navigate the convergence of Generative AI, Quantum Computing, and Edge IoT.
Why Join Us?
- Work on cutting-edge technology that defines the next decade.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium office amenities in the heart of SF.
Responsibilities
- Design & Architecture: Architect scalable, fault-tolerant AI infrastructure capable of processing petabytes of real-time data.
- Model Deployment: Lead the end-to-end lifecycle of deploying Large Language Models (LLMs) and predictive algorithms into high-traffic environments.
- Performance Optimization: Engineer hardware-software co-design solutions to reduce inference latency and energy consumption.
- Strategic Innovation: Collaborate with R&D to prototype futuristic algorithms (e.g., Neuromorphic Computing) for the 2026 roadmap.
- Team Leadership: Mentor a team of senior ML engineers and data scientists, fostering a culture of continuous innovation and technical excellence.
- Compliance & Ethics: Ensure all AI systems adhere to strict ethical guidelines, data privacy standards, and regulatory compliance (GDPR/CCPA).
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field from a top-tier university.
- Experience: 8+ years of experience in software engineering, with a minimum of 4 years specifically in AI/ML system architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- System Design: Deep understanding of cloud architecture (AWS/Azure/GCP) and microservices patterns.
- Future-Forward Skills: Familiarity with Quantum Computing concepts or Edge AI deployment is a significant plus.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.