CareerPlan

Staff Engineer, Test Automation - San Mateo (R5792)

San Mateo, CaliforniaFull-time2026-10-21 → 2026-11-10

Core

Lead technical strategy and architecture for automated verification, MLOps quality systems, and CI/CD pipelines for Hivemind autonomy software and robotic platforms.

Role type

Staff IC Test Automation Engineer (MLOps & Systems Verification)

Builds

Scalable test frameworks, automated ML validation pipelines, CI/CD workflows, and observability tools for autonomy software and hardware-in-the-loop systems.

Domain

Defense technology, autonomous systems, machine learning, distributed systems, and GPU infrastructure.

Deliverable

production ML models

Required skills

Python automation, distributed systems testing, MLOps infrastructure design, ML lifecycle validation, GPU workload testing, Kubernetes multi-tenant validation, system design, asynchronous/concurrent programming, Linux development environments.

Preferred skills

Model registries and experiment tracking (MLflow, Kubeflow), GPU scheduling and orchestration (Run:ai, Kueue), NVIDIA GPU infrastructure and profiling, autonomy model validation in simulation, embedded/edge-compute testing.

Technologies

Python, Kubernetes, MLflow, Kubeflow, Weights & Biases, SageMaker, Vertex AI, Run:ai, NVIDIA GPU Operator, CUDA, PyTorch, Nsight.

Responsibilities

Define and evolve test architecture and validation infrastructure; design scalable test frameworks for autonomy software and distributed hardware; lead functional, integration, regression, and performance testing across simulation and HIL environments; build automated ML validation pipelines for data quality and model robustness; establish CI/CD and continuous training workflows; develop scenario-based validation for edge cases and distribution shifts; create observability and failure-triage capabilities; build Python automation for test execution and developer productivity; develop test harnesses, simulators, and synthetic data capabilities; collaborate with engineering teams to define verification strategies; develop AI-assisted engineering workflows using coding agents and LLMs.

Seniority

Staff, technical leadership & hands-on IC