Staff Automation Engineer - Autonomy & ML Validation

F7d8749a; San Mateo (CA); Presencial; USD 180.000 - 280.000; Jornada completa

Descripción de la vacante

Shield AI's Hivemind Software Engineering Integration and Test team seeks a Staff Automated Test Engineer to lead automated verification across our autonomy platform. You will define test architecture, validation infrastructure, and CI/CD pipelines for deploying resilient software in unmanned aircraft and robotic systems.

You will work across production flight code, ML models, simulation environments, mission planning, and data pipelines, mentoring teams and shaping verification standards in a

Formación

• 8+ years in software engineering, test infra, or MLops.
• 5+ years building scalable automation in Python.
• Experience validating ML systems end-to-end.
• Experience with GPU workloads in Kubernetes.
• Understanding ML quality risks and data leakage.
• Experience designing CI/CD and MLOps workflows.

Responsabilidades

• Own the strategy, architecture, and roadmap for automated testing and MLOps quality across the Hivemind ecosystem.
• Design scalable test frameworks for autonomy software, backend services, APIs, operator-facing applications, and distributed hardware environments.
• Lead functional, integration, regression, system, performance, reliability, and end-to-end testing across simulation, edge-compute, software-in-the-loop, and hardware-in-the-loop environments.
• Build automated ML validation pipelines covering data quality, training reproducibility, model accuracy, robustness, regression, latency, resource utilization, and system integration.
• Establish CI/CD and continuous training workflows that provide versioning and traceability for datasets, models, configurations, evaluation results, and deployment artifacts.
• Develop scenario-based validation for autonomy models, including edge cases, degraded sensing or communications, distribution shifts, and representative mission conditions.
• Create observability, analytics, and failure-triage capabilities for software behavior, model and data drift, inference health, test results, and production performance.
• Build Python automation that improves test execution, parallelization, reporting, environment setup, experiment comparison, and developer productivity.
• Create test harnesses, simulators, stubs, mocks, and synthetic data capabilities that improve system testability and coverage.
• Collaborate with software, autonomy, machine learning, data, simulation, and systems engineers to define verification strategies and improve designs before implementation.
• Develop and govern AI-assisted engineering workflows using coding agents and LLM-based tools for test generation, log analysis, debugging, and failure triage while maintaining security, reproducibility, and traceability.

Conocimientos

Python automation

MLOps

Test automation

Software testing

Distributed systems

Linux

CI/CD

Herramientas

Kubernetes

CI/CD pipelines

Python

Descripción del empleo

Shield AI's Hivemind Software Engineering Integration and Test team seeks a Staff Automated Test Engineer to lead automated verification across our autonomy platform. You will define test architecture, validation infrastructure, and CI/CD pipelines for deploying resilient software in unmanned aircraft and robotic systems.

You will work across production flight code, ML models, simulation environments, mission planning, and data pipelines, mentoring teams and shaping verification standards in a