Staff Automation Engineer—Autonomy & ML Validation

Shield; San Mateo (CA); Sur place; USD 140 000 - 180 000; Plein temps

Avantages offerts par ce poste

Equity

Benefits

Bonus

Résumé du poste

Shield AI in California is seeking a Staff Automated Test Engineer to lead automated verification for our Hivemind autonomy platform. You will define test architecture, validation infrastructure, and CI/CD pipelines to enable resilient unmanned aircraft software.

You’ll collaborate across flight code, ML models, simulation, data pipelines, and Ground Control Station tools to build scalable testing, ML validation, and observability that ensure reliability in challenging environments.

Qualifications

• 8+ years in software engineering, test infra, or MLOps with impact.
• 5+ years building scalable automation frameworks in Python.
• Experience designing test, CI/CD, or MLOps infrastructure.
• Experience validating ML systems across data, training, evaluation, and deployment.
• Understanding data leakage, distribution shift, drift, and ML quality risks.
• Experience testing GPU-accelerated infra in Kubernetes.

Responsabilités

• Own the strategy, architecture, and roadmap for automated testing and MLOps quality.
• Design scalable test frameworks for autonomy software and distributed hardware.
• Lead full-spectrum testing across simulation, edge compute, and hardware-in-the-loop.
• Build ML validation pipelines for data quality, training reproducibility, and model accuracy.
• Establish CI/CD and continuous training workflows with data and model versioning.
• Develop scenario-based validation for autonomy models in edge cases.
• Create observability and failure-triage capabilities for test results and production performance.
• Develop Python automation to improve test execution and reporting.
• Create test harnesses, simulators, and synthetic data capabilities.
• Collaborate with cross-functional teams to define verification strategies.
• Develop AI-assisted engineering workflows using coding agents while ensuring security and traceability.

Connaissances

Python automation

Distributed systems testing

Technical leadership

CI/CD pipelines

MLOps

Automation frameworks

Test architecture

Outils

Kubernetes

Conan

Pip/Setuptools/Poetry/Nix

MLflow

Kubeflow

NVIDIA Nsight

Run:ai

Description du poste

Shield AI in California is seeking a Staff Automated Test Engineer to lead automated verification for our Hivemind autonomy platform. You will define test architecture, validation infrastructure, and CI/CD pipelines to enable resilient unmanned aircraft software.

You’ll collaborate across flight code, ML models, simulation, data pipelines, and Ground Control Station tools to build scalable testing, ML validation, and observability that ensure reliability in challenging environments.