Inference Technical Lead, On-Device Transformers
Tasks
- Analyze system performance and hardware tradeoffs
- Collaborate with research teams on model architecture design
- Evaluate and select silicon platforms for on-device deployment
- Lead engineering team on inference stack development
- Partner with hardware vendors to accelerate workloads
- Translate research capabilities into deployable systems
Perks/Benefits
Skills/Tech-stack
Accelerator | CUDA | GPU | Hardware-Aware Machine Learning | Kernel programming | ML pipelines | Machine Learning | Model Deployment | NPU | Performance optimization | Runtime Systems | Transformer
Education
N/A
Roles
Regions
Countries
States
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