Principal AI/ML Autonomy Engineer
USD 218K-305K Senior-level Full Time
Tasks
- Architect embedded ML models
- Build ML data pipelines
- Conduct simulation to hardware validation
- Define embedded AI ML strategy
- Develop and deploy machine learning models
- Drive technical roadmap
- Ensure real time deterministic performance
- Evaluate adversarial robustness
- Implement fault detection and isolation
- Integrate AI ML into flight software
- Lead cross-functional technical alignment
- Optimize models for compute constraints
- Perform verification and validation for AI ML
- Quantize and prune models
- Represent AI ML capabilities to government customers
- Support uncertainty quantification
- Test runtime assurance
- Train and validate models
- Validate operational performance
Perks/Benefits
- 401k match
- Education Support Program
- Paid parental leave
- Paid time off
- Relocation assistance
- Stock options
Skills/Tech-stack
Adversarial Robustness | Bare Metal | C# | C++ | DSP | Edge GPU | FPGA | Fault detection | Fault isolation | Hardware-Aware Optimization | Hardware-in-the-loop | MLOps | Model Compression | ONNX | ONNX Runtime | Pruning | PyTorch | Python | Quantization | RTOS | Runtime assurance | Simulation to hardware | TFLite | TensorFlow | TensorRT | The Loop | Uncertainty Quantification | Veracity and Validation
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Principal | Principal AI/ML Engineer
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