Job Description
We are pioneering the technological frontier to define the infrastructure landscape of 2026. As a Senior AI Infrastructure Engineer, you will architect the backbone for next-generation artificial intelligence systems. We are looking for a visionary problem-solver who thrives in ambiguous environments and has a passion for building scalable, high-performance systems that will power the future of the web.
Join our elite engineering team and help us bridge the gap between theoretical AI models and production-grade infrastructure.
Responsibilities
- Architect and maintain high-availability distributed systems optimized for 2026 computing paradigms.
- Design scalable pipelines for processing petabytes of AI training data and inference workloads.
- Collaborate with ML researchers to optimize model serving latency and throughput.
- Implement robust security protocols and privacy-preserving computation techniques.
- Lead the migration strategy for legacy infrastructure to modern cloud-native architectures.
- Conduct deep-dive performance analysis and engineering optimizations for GPU clusters.
Qualifications
- 10+ years of experience in software engineering with a focus on distributed systems.
- Expert proficiency in Python, Go, or Rust, with deep knowledge of C++ for performance-critical components.
- Extensive experience with Kubernetes, Docker, and cloud providers (AWS, GCP, or Azure).
- Proven track record of designing systems that handle high concurrency and massive scale.
- Strong background in machine learning operations (MLOps) and model deployment.
- Experience with quantum-ready algorithms or distributed ledger technologies is a major plus.