Staff Engineer Test Automation

You will own the strategy and architecture for automated testing, verification, and MLOps quality. You will build test and ML-validation frameworks, CI/CD workflows, observability, Python automation, simulation tools, and AI-assisted engineering workflows for distributed hardware and software systems.

Responsibilities

• Own the technical strategy, architecture, and roadmap for automated testing, verification, and MLOps quality
• Design and maintain scalable test frameworks
• Lead functional, integration, regression, system, performance, reliability, and end-to-end testing
• Build automated ML validation pipelines
• Establish CI/CD and continuous-training workflows
• Develop scenario-based validation for autonomy models
• Create observability, analytics, and failure-triage capabilities
• Build Python automation for test execution and reporting
• Create test harnesses, simulators, stubs, mocks, and synthetic-data capabilities
• Define verification strategies with engineering stakeholders
• Develop and govern AI-assisted engineering workflows

Requirements

• 8+ years of relevant experience in software engineering, test infrastructure, developer tooling, MLOps, systems integration, or systems verification
• 5+ years building scalable automation frameworks or developer tooling in Python
• Experience designing test, CI/CD, or MLOps infrastructure across multiple engineering teams
• Experience validating machine-learning systems across their lifecycle
• Understanding of ML quality risks and model-performance baselines
• Experience testing GPU-accelerated infrastructure and workloads in Kubernetes
• Experience validating multi-tenant Kubernetes environments
• Experience qualifying integrated hardware and software systems
• System-design experience testing distributed systems, backend services, APIs, and integrated systems
• Experience developing integration and regression strategies
• Understanding of asynchronous and concurrent Python programming
• Experience with package and dependency management and reproducible environments
• Experience with observability, log collection, analytics, reporting, and root-cause analysis
• Experience working in Linux-based development environments

Benefits

• Bonus
• Equity