Job Description
Are you ready to define the technological landscape of the year 2026? Nexus Future Labs is seeking a visionary AI Infrastructure Architect to lead our next-generation compute systems. You won't just write code; you will architect the backbone of a smarter future.
As a pivotal member of our elite engineering team, you will bridge the gap between theoretical AI research and scalable, real-world deployment. We are looking for a pioneer who thrives in ambiguity and possesses the technical depth to solve complex challenges.
Why Join Us?
• Work at the frontier of Artificial General Intelligence and autonomous systems.
• Competitive compensation package and equity for top performers.
• Access to cutting-edge quantum computing resources and neural hardware.
• Flexible remote-first culture with a premium office in the heart of San Francisco.
Responsibilities
- Design and deploy scalable neural network infrastructure capable of handling exascale computing requirements.
- Lead the migration to edge-computing architectures to support the 2026 global IoT ecosystem.
- Optimize deep learning pipelines for real-time decision-making across distributed systems.
- Establish security protocols for autonomous AI agents and ensure compliance with future regulatory standards.
- Collaborate with cross-functional teams to integrate quantum-ready algorithms into classical software stacks.
Qualifications
- Master’s degree or PhD in Computer Science, Electrical Engineering, or a related field.
- Minimum of 7 years of experience in system architecture, with a focus on Artificial Intelligence or Machine Learning.
- Deep proficiency in Python, C++, and distributed systems programming.
- Proven track record of leading high-velocity engineering teams through rapid product iterations.
- Experience with cloud-native technologies (AWS, Azure, GCP) and container orchestration (Kubernetes).