- San Mateo, California, United States
- On-site
- Full-time · Senior
- 8+ years
Lead automated testing and MLOps quality for Hivemind autonomy platform.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
- Own technical strategy, architecture, and roadmap for automated testing, verification, and MLOps quality across the Hivemind ecosystem.
- Design and maintain 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.
Requirements
- Bachelor's degree in Computer Science or related field
- Nice to have: MLflow
- Nice to have: Kubeflow
- Nice to have: Weights & Biases
- Nice to have: SageMaker
