AI Research Engineer (Kernel & Inference Optimization)
Tasks
- Analyze serving bottlenecks
- Build scalable inference pipelines
- Create testing datasets
- Design model serving architectures
- Develop benchmarking methodologies
- Improve inference infrastructure
- Integrate inference solutions into production
- Monitor performance metrics
- Optimize inference frameworks
- Run inference experiments
Perks/Benefits
- Autonomy
- Collaborative international team
- Continuous learning
- Flexible location options
- Fully remote
- Innovation-driven culture
- Professional development
- Technical ownership
Skills/Tech-stack
Benchmarking | CUDA | Docker | Inference Optimization | Kubernetes | Latency optimization | Linux | Memory Management | Model Serving | Network Performance | Performance Monitoring | Profiling | PyTorch | Python | TensorFlow | Throughput Optimization
Education
N/A
Roles
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