Staff Engineer, Test Automation (R5792)

What you'll do

• Set the strategy and architecture for automated testing, verification, and MLOps quality; build scalable test frameworks and infrastructure.
• Lead functional through end-to-end testing across simulation, edge compute, software-in-the-loop, and hardware-in-the-loop environments; develop automated ML validation and CI/CD workflows.
• Create scenario-based autonomy validation, observability, and Python automation; guide cross-functional teams 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.
• Experience with GPU workloads and Kubernetes environments, integrated hardware/software systems, distributed systems, and asynchronous or concurrent Python.
• Experience with observability and root-cause analysis, package/dependency management and reproducible environments; Linux-based development experience.

Nice to have

• Experience with ML platforms or GPU orchestration/profiling tools, or NVIDIA GPU infrastructure.
• Experience in autonomy, aerospace, robotics, embedded or safety-critical systems; familiarity with verification standards such as DO-178C and MIL-STD-882.

Tools

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

AI focus

Validates machine learning systems across data, training, evaluation, deployment, and monitoring, and develops AI-assisted engineering workflows using coding agents and LLM-based tools for test generation, log analysis, debugging, and failure triage.