AI Systems Engineer
Tasks
- Build high concurrency evaluation systems
- Build scalable inference systems
- Define infrastructure standards and architecture
- Design distributed training and rollouts
- Develop internal tools for engineering productivity
- Implement deterministic sandbox execution
- Improve reliability and system observability
- Lead design and development of ML stack
- Optimize performance for GPUs and accelerators
- Set code culture tooling and best practices
Perks/Benefits
Skills/Tech-stack
Architecture Design | CUDA | Checkpointing | Distributed Systems | Distributed Training | GPU Optimization | Inference | LLM Pipelines | Machine Learning | Observability | Parallel Programming | Python | Reinforcement Learning | Reliability Engineering
Education
N/A
Regions
Countries
States
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