Drimva

Faraday Future

Robotics Operations & SW Test Engineer

$80K–$90K

Fremont, California, United States · Full-time · Posted Jun 22, 2026

Experience
1+ years in software development, validation, QA engineering, data analytics, or software testing.
Education
Bachelor’s degree in Computer Science, Mechanical/Electrical Engineering, Big Data, or a related technical discipline.

About the job

Operates and maintains advanced robotic platforms, runs demonstrations and software tests, and analyzes telemetry and perception data to identify anomalies and ensure operational stability.

What you'll do

  • Perform routine robot operations, manage product demonstrations, and maintain software according to user manuals.
  • Use platform SDKs to conduct functional validation, regression testing, and perception-system validation; track testing metrics.
  • Analyze robot telemetry and sensor data, evaluate logs, and identify system anomalies in collaboration with software developers.

What they ask for

  • Bachelor’s degree in Computer Science, Mechanical/Electrical Engineering, Big Data, or a related technical discipline.
  • 1+ years of experience in software development, validation, QA engineering, data analytics, or software testing.
  • Experience with manual and automated testing, hardware/software integration, and multi-platform validation, primarily in Linux and Windows environments.
  • Programming proficiency in Python, Bash or similar scripting languages; familiarity with Linux, Git, and issue tracking systems such as Jira or GitHub Issues.

Nice to have

  • Master's degree in a related quantitative discipline; hands-on experience with ROS/ROS2.
  • Experience with computer vision or machine learning tools such as PyTorch, OpenCV, or TensorFlow, and robotic sensor/actuator data.

Pay

$80,000-$90,000 USD base salary

Tools

Python, Bash, Linux, Windows, Git, Jira, GitHub Issues, ROS/ROS2

AI focus

Preferred work includes validating computer vision and perception pipelines, deploying perception models on embedded hardware, and using machine learning to analyze telemetry and detect anomalies.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)