Principal AI Engineer
Austin, Texas, United States; Menlo Park, California, United States; Reston, Virginia, United States
R
USD 182K-242K (estimate) Senior-level Full Time
Tasks
- Build deployment abstractions for edge and air gapped environments
- Build optimization for device constraints
- Collaborate with ML platform and security teams
- Create automated preflight checks and health monitoring
- Design core AI edge builder capabilities
- Design platform APIs and configuration schemas
- Develop edge deployment workflows
- Develop infrastructure and orchestration for containers and Kubernetes
- Develop testing frameworks for platform quality
- Implement model and service lifecycle management
- Implement secure by default platform capabilities
- Integrate model serving runtimes and security controls
- Produce technical documentation runbooks and reference architectures
- Troubleshoot deployment issues across stacks
Perks/Benefits
- 401k match
- Dental insurance
- Flexible-hybrid work
- Health insurance
- Life insurance
- Paid Company Holidays
- Paid parental leave
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
API | Access Control | Access Management | Air Gapped Computing | Air-gapped | Audit Logging | Batching | Configuration Management | Diagnostics | Docker | Edge Computing | Encryption | Go | Hardware acceleration | Health Monitoring | Identity & Access | Identity & Access Management | Inference | Infrastructure as Code | Kubernetes | Linux | MLOps | Model Serving | Networking | ONNX | Observability | PyTorch | Python | Quantization | Secrets management | Software Supply Chain | Software supply chain security | Supply chain security | TensorRT | Testing | Triton | VLLM | “as-code”
Education
N/A
Roles
AI Engineer | Engineer | Principal | Principal AI Engineer | Staff AI Engineer
Regions
Countries
States
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