AI Software Engineer
Tasks
- Apply MLPerf for computer vision benchmarking
- Collaborate with technical marketing product and support teams
- Define benchmark data requirements
- Evaluate Kinara products using benchmarking methods
- Implement large language model benchmark methods
- Measure and report latency throughput accuracy and power consumption
- Prepare benchmarking and analysis reports
- Use CI CD version control and automation frameworks
- Use MLflow for benchmarking management
- Work in Linux environments and device driver internals
- Write and optimize scripts for deep learning deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AI accelerators | Accuracy | C# | C++ | CI/CD | Caffe | Computer Vision | Deep learning | GitHub | Inference servers | Language Models | Large Language Models | Latency | Linux | MLPerf | MLflow | Machine Learning | Neural Networks | Power consumption | PyTorch | Python | TensorFlow | Throughput | Version control
Education
Roles
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