Job Description
We are a cutting-edge research lab building the digital infrastructure for the year 2026. We are seeking a visionary Senior AI Infrastructure Architect to lead our roadmap for next-generation computing systems. You will bridge the gap between current Deep Learning capabilities and the futuristic demands of AGI and Quantum-AI integration. If you are obsessed with scalability, speed, and the future of technology, this is your opportunity to define the standard for the next era of software engineering.
Why Join Us?
- Work on projects that shape the trajectory of AI development.
- Competitive compensation package with equity options.
- Flexible remote-first policy with access to state-of-the-art hardware labs.
Responsibilities
- Lead the 2026 Roadmap: Define and execute the technical strategy for AI infrastructure scaling, specifically targeting requirements for the year 2026 and beyond.
- Architect High-Performance Systems: Design resilient, distributed neural network training pipelines capable of handling petabyte-scale datasets.
- Quantum Readiness: Integrate classical AI architectures with emerging quantum computing paradigms to prepare our models for quantum supremacy.
- Optimize Compute Efficiency: Implement advanced model quantization and pruning techniques to reduce inference costs by 40%.
- Collaborate with Cross-Functional Teams: Partner with data scientists and researchers to translate theoretical models into production-grade software.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Electrical Engineering, or a related field; equivalent practical experience is accepted.
- Experience: 8+ years of experience in system architecture, specifically within the Machine Learning or AI sector.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Ray, or Apache Spark).
- Futuristic Focus: Demonstrated experience with edge computing, IoT integration, or preparing legacy systems for future AI deployment.
- Leadership: Proven track record of leading engineering teams through complex technical transitions.