Principal ML Systems Engineer – AI for Quantum
Milpitas, California, United States
USD 220K-275K Senior-level Full Time
Tasks
- Build distributed training pipelines for high performance ML development
- Design implement optimize GPU CUDA C plus plus kernels
- Develop pretraining fine tuning and inference for ML models for quantum error correction
- Drive best practices in ML experimentation data curation and reproducible research
- Integrate ML components into quantum computation pipelines
- Prototype and evaluate ML architectures for quantum error correction control problems
- Translate quantum simulation outputs into ML data representations
Perks/Benefits
- N/A
Skills/Tech-stack
C plus plus | CUDA | Data Pipelines | Distributed Training | Experiment tracking | GPU | Model Serving | NCCL | PyTorch | Python | ROCm | Reinforcement Learning | Slurm | Triton
Education
N/A
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