Software Engineer 2 (Machine Learning) (TS/SCI with Poly)
Tasks
- Build CI/CD pipelines
- Create deployment documentation
- Deploy VISTA models to production inference services
- Design infrastructure as code
- Implement Business Logic Scripting BLS pipelines
- Package Python services for NVIDIA Triton Inference Server
- Perform hardware software trade off analysis
- Resolve system problem reports
- Test software components against design requirements
- Tune inference pipeline throughput
- Use TensorRT execution providers
Perks/Benefits
- 401k
- Employee discount program
- Flexible work schedule
- Health savings accounts
- Life insurance
- Medical, dental & vision coverage
- Paid time off
- Pet insurance
- Tuition/training assistance
Skills/Tech-stack
Automated Speech Recognition | CI/CD | Computer Vision | Docker | Inference Server | Infrastructure as Code | Kubernetes | Language Processing | Natural Language | Natural Language Processing | ONNX | Python | Speech Recognition | TensorRT | Triton Inference | Triton Inference Server | “as-code”
Education
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