Shield AI
Staff Engineer, Test Automation - San Mateo (R5792)
San Mateo, California · Staff · Full-time · Posted Oct 21, 2026
- Experience
- Typically 8+ years of relevant experience, or an equivalent combination of experience and demonstrated impact; 5+ years building scalable Python automation frameworks or developer tooling.
About the job
Leads automated testing and MLOps quality for the Hivemind autonomy platform, building verification architecture, infrastructure, and workflows across software, ML, simulation, and hardware systems.
What you'll do
- Own test automation strategy and architecture; establish verification standards and scalable infrastructure.
- Build automated software and ML validation, CI/CD, and continuous training workflows across simulation, edge, and hardware-in-the-loop environments.
- Lead cross-functional quality initiatives, including observability, failure triage, and AI-assisted engineering workflows.
What they ask for
- Typically 8+ years of relevant experience, or an equivalent combination of experience and demonstrated impact.
- 5+ years building scalable automation frameworks or developer tooling in Python.
- Demonstrated success designing test, CI/CD, or MLOps infrastructure used across multiple engineering teams.
- Experience validating ML systems across their lifecycle, plus testing GPU workloads and multi-tenant Kubernetes environments.
Nice to have
- Experience with ML platforms such as MLflow, Kubeflow, Weights & Biases, SageMaker, or Vertex AI.
- Aerospace, robotics, autonomy, embedded systems, or safety-critical software experience.
Tools
Python, Kubernetes, Conan, pip, setuptools, Poetry, Nix, MLflow
AI focus
Validates machine-learning systems across data, training, evaluation, deployment, and monitoring; develops AI-assisted engineering workflows using coding agents and LLM-based tools for test generation, log analysis, debugging, and failure triage.
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