Senior Solutions Architect, Robotics Foundation Model Training
Tasks
- Architect and optimize end to end training workflows for robotics foundation models
- Build proof of concepts and reference architectures
- Collaborate with researchers and engineering teams to guide product direction
- Identify and eliminate data pipeline bottlenecks
- Optimize storage networking preprocessing and data loading
- Profile and optimize training workloads for throughput and memory efficiency
- Scale pre training and fine tuning across multi GPU and multi node systems
- Train multimodal models using reinforcement learning
Perks/Benefits
- N/A
Skills/Tech-stack
Checkpointing | Data Pipelines | Data Processing | Data loading | Data parallelism | Data pipeline | Data pipeline optimization | Deep learning | Distributed Computing | Fine Tuning | Foundation Models | GPU Computing | GPU Training | High Throughput | High-throughput data | High-throughput data pipelines | Hugging Face | Hugging Face Transformers | JAX | Machine Learning | Model Evaluation | Model Optimization | Model Parallelism | Multi-GPU | Multi-GPU Training | Multi-node | Multi-node Training | Multimodal Data | Multimodal Data Processing | Multimodal Learning | NVIDIA Nemo | Nsight Compute | Nsight Systems | Pipeline Optimization | Pipeline parallelism | Pretraining | PyTorch | PyTorch Profiler | Reinforcement Learning | Sharding | Tokenization | Video decoding
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Applied Engineer | Architect | Engineer | Solutions Architect
Regions
Countries
States
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