L5 — Autonomous Systems Architect

The highest BCR field certification. L5 architects design fleet-scale AI systems, define new robot platform integrations, lead industry standards efforts, and develop the next generation of BCR engineers.

Overview

Core Competencies

• Machine learning for predictive maintenance (LSTM autoencoders, Gradient Boosting, feature engineering, SHAP analysis)
• Edge AI deployment on NVIDIA Jetson AGX Thor (275 TOPS, TensorRT INT8, CUDA stream priority scheduling)
• BCR platform module authoring (signal ID mapping, diagnostic guide, common failures)
• Industry standards and compliance (IEC 61508, ISO 10218-1, ISO/TS 15066, EU AI Act, FAA Part 137)
• Industry leadership (standards contribution, open-source strategy, position paper authoring, mentoring)

Curriculum Sections

1. Machine Learning for Predictive Maintenance — feature engineering, model architectures (LSTM autoencoder, Gradient Boosting, TCN), evaluation metrics (AUC-PR, precision/recall, calibration), distribution shift detection, federated learning
2. Edge AI — Jetson AGX Thor — 275 TOPS platform specs, TensorRT optimization pipeline (ONNX export, INT8 calibration, layer fusion), CUDA stream priority scheduling, thermal management
3. Platform Definition Authoring — BCR platform module standard (three required documents), canonical signal ID convention, signal metadata requirements, authoring workflow
4. Industry Standards and Compliance — IEC 61508 SIL levels, ISO 10218-1, ISO/TS 15066 contact force limits, EU AI Act high-risk requirements, agricultural drone regulations, data compliance frameworks
5. Industry Leadership — standards contribution methodology, open-source strategy, position paper authoring, A/B testing for ROI validation, mentoring L4 engineers

Lab Exercises

• Lab 5-1: Predictive Maintenance ML Pipeline (XGBoost, SHAP, distribution shift monitoring)
• Lab 5-2: TensorRT Edge Deployment on Jetson AGX Thor (INT8, multi-model scheduling, thermal monitoring)
• Lab 5-3: Platform Module Authoring (live robot access, CAN signal mapping, peer validation)
• Lab 5-4: Standards Compliance Assessment (EU facility, ISO 10218-1, EU AI Act gap analysis)
• Lab 5-5: Industry Leadership Deliverable (position paper, 15-minute presentation, peer review)

Study Materials

• curriculum.md — Complete L5 curriculum
• lab_exercises.md — All 5 lab exercises with sign-off criteria
• competency_rubric.md — 14-competency evaluation rubric
• assessment/questions.json — 40 assessment questions (ML, edge AI, platform definition, standards, leadership)
• assessment/passing_score.json — 85% threshold, 120-minute time limit

Unlock Path

L5 certification unlocks:

• Platform module authorship rights (new robot platforms added to BCR catalog)
• BCR standards working group representation
• L5 mentor designation (authorized to sign off L1-L4 lab exercises)
• Enterprise architecture engagement access (BCR consulting engagements)
• Industry conference speaking authorization on behalf of BCR