Faraday Future logo
Faraday Future
Posted 81 days agoVerified live 1d ago

Robotics Operations & SW Test Engineer

Brief overview

Fremont, CAIn-person
UndergradOr in progress
$80k–$90k/yrStated range
1+ yrsMinimum
Software developmentSoftware validationQA engineeringData analyticsSoftware testingManual test executionAutomated test executionHardware/software integrationMulti-platform software validationLinux operating systemWindows operating systemPython programmingBash scriptingVersion control systemsGitIssue tracking systemsJira

About the company

Faraday Future logo
Faraday Futureff.com

Faraday Future designs and manufactures artificial intelligence-based electric vehicles.

Job description

Summary

Faraday Future (FF) is a California-based mobility company focused on creating user-centric, technology-first vehicles. As a Robotics Operations & SW Test Engineer, you will work with advanced robotics platforms to ensure operational stability and quality assurance through various testing and validation processes.

Responsibilities

  • Ensure the seamless execution, maintenance, and quality assurance of FF's diverse advanced robotics platforms
  • Perform routine operations
  • Manage daily product demonstrations
  • Execute software maintenance according to user manuals
  • Collaborate closely with software developers to perform end-to-end functional validation
  • Perform regression testing
  • Conduct robot telemetry data analysis
  • Validate perception systems
  • Track testing metrics
  • Identify system anomalies using data-driven methodologies to ensure operational stability

Skills

  • 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
  • Manual and automated test execution, hardware/software integration, and multi-platform software validation (primarily Linux and Windows environments)
  • Robust programming proficiency in Python, Bash or similar scripting languages for automated test suite development, data parsing, and log evaluation
  • Linux operating systems, version control systems (Git), and issue tracking ecosystems (such as Jira or GitHub Issues)
  • A Master's degree in Computer Science, Data Analysis, Industrial Engineering, Operations Research, or an equivalent advanced quantitative engineering discipline
  • Hands-on debugging and development using embedded middleware, specifically ROS/ROS2 (Robot Operating System) concepts, nodes, and topic logging
  • Practical experience in designing, optimizing, or testing Computer Vision pipelines (using PyTorch, OpenCV, or equivalent tools) and deploying perception models on embedded physical hardware
  • Foundational understanding of Machine Learning concepts, Neural Networks, and deep learning libraries (such as TensorFlow or PyTorch) for parsing intelligent telemetry data and detecting system anomalies
  • Extensive experience in analyzing robotic sensor/actuator data, diagnostic logging, and executing SDK-based integration tests on live physical hardware
  • A creative curiosity, collaborative ethic, hardworking enthusiasm, and driving personal vision
  • Excellent communication skills and team-working tendencies

Qualifications

Must Haves

  • 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
  • Manual and automated test execution, hardware/software integration, and multi-platform software validation (primarily Linux and Windows environments)
  • Robust programming proficiency in Python, Bash or similar scripting languages for automated test suite development, data parsing, and log evaluation
  • Linux operating systems, version control systems (Git), and issue tracking ecosystems (such as Jira or GitHub Issues)

Nice to Haves

  • A Master's degree in Computer Science, Data Analysis, Industrial Engineering, Operations Research, or an equivalent advanced quantitative engineering discipline
  • Hands-on debugging and development using embedded middleware, specifically ROS/ROS2 (Robot Operating System) concepts, nodes, and topic logging
  • Practical experience in designing, optimizing, or testing Computer Vision pipelines (using PyTorch, OpenCV, or equivalent tools) and deploying perception models on embedded physical hardware
  • Foundational understanding of Machine Learning concepts, Neural Networks, and deep learning libraries (such as TensorFlow or PyTorch) for parsing intelligent telemetry data and detecting system anomalies
  • Extensive experience in analyzing robotic sensor/actuator data, diagnostic logging, and executing SDK-based integration tests on live physical hardware
  • A creative curiosity, collaborative ethic, hardworking enthusiasm, and driving personal vision
  • Excellent communication skills and team-working tendencies

Benefits

  • Healthcare + dental + vision benefits (Free for you/discounted for family)
  • 401(k) options
  • Casual dress code + relaxed work environment
  • Culturally diverse, progressive atmosphere

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