Staff Engineer, Test Automation (R5792)

What you'll do

• Own test automation strategy and architecture; build scalable frameworks and lead verification across software, simulation, edge-compute, and hardware-in-the-loop environments.
• Build ML validation, CI/CD, and continuous-training workflows, including dataset and model traceability, automated evaluation, and performance monitoring.
• Lead cross-functional quality initiatives and develop Python automation, test harnesses, observability, 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 machine learning systems across the data, training, evaluation, packaging, deployment, and monitoring lifecycle.
• Experience testing GPU workloads and Kubernetes environments, plus strong system-design and distributed-systems testing experience.

Nice to have

• Experience with ML platforms such as MLflow, Kubeflow, Weights & Biases, SageMaker, or Vertex AI.
• Experience in aerospace, robotics, autonomy, embedded systems, or safety-critical software.

Pay

USD 157,000–235,800 per-year-salary (base salary)

Tools

Python, Kubernetes, Conan, pip, setuptools, Poetry, Nix, MLflow

AI focus

Validates machine-learning systems through their lifecycle, including data quality, training reproducibility, model performance, robustness, deployment, and monitoring. Develops AI-assisted workflows using coding agents and LLM-based tools for test generation, log analysis, debugging, and failure triage.