Principal Engineer, Storage AI

USD 294K-414K Senior-level Full Time Found 7d ago

Tasks

• Drive architecture, design, and implementation of scalable storage systems
• Identify opportunities and challenges in model training, inference, RL, and Agentic platforms
• Lead AI innovation by forecasting trends and defining the platform roadmap
• Partner with hardware, data center, networking, and software teams
• Solve critical AI pain points for customers

Perks/Benefits

• Benefits
• Bonus
• Equity

Skills/Tech-stack

AI architectures | CAP Theorem | Cassandra | Distributed Systems | Fine Tuning | Hyperparameter Tuning | Kafka | Kubernetes | LLM Fine-tuning | Latency optimization | Load Balancing | Machine Learning | Microservices | Model Quantization | PyTorch | RabbitMQ | Redis | Retrieval-Augmented Generation | Service Mesh | Sharding | TensorFlow | Transformer Architectures