Senior Software Engineer

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Torc Robotics

📍Remote - United States

Summary

Join Torc, a leader in autonomous driving, and catapult your career by contributing to the development of software for automated trucks. As a Senior Software Engineer, you will lead end-to-end testing of the Perception Subsystem, ensuring its functionality and performance. This role demands collaboration with various teams and utilizes diverse tools and technologies. The position offers a competitive salary and the flexibility to work remotely from anywhere in the U.S., while requiring 10% domestic travel. Torc is committed to fostering a diverse and inclusive workplace.

Requirements

  • Master’s Degree, or equivalent, in Computer Engineering, Mechanical Engineering, Computer Science, Robotics, or related with 2 years’ post-baccalaureate experience as Software Engineer or related
  • Bachelor’s Degree, or equivalent, in Computer Engineering, Mechanical Engineering, Computer Science, Robotics with 5 years’ progressively responsible post-baccalaureate experience as Software Engineer or related
  • Experience must include: 1) testing environments like SIL, HIL, In-vehicle testing (dSPACE, Vector tools); 2) Linux platform (Ubuntu, Debian) and development tools (cmake, bazel, docker, ROS, git or bash); 3) AV simulation software (Matlab/Simulink, VTD, PreScan, Simian, Unreal, Unity, RoadRunner, IPG CarMaker, AiSim, CarSim or ADAMS); 4) test management software; 5) software development cycle tools (python, git, jenkins, AWS)
  • 10% domestic travel required

Responsibilities

  • Lead the end-to-end testing of the Perception Subsystem, including data selection, test case creation and execution, evaluation, and deployment of perception subsystem including ML models
  • Review subsystem requirements to ensure they are clear, complete, and testable
  • Design, develop, and execute test cases to verify the perception subsystem’s functionality and performance
  • Create comprehensive test plans and strategies to ensure rigorous and robust testing of the perception subsystem models
  • Focus on Software-in-the-Loop (SIL) testing to automatically assess the performance and integration of our Virtual Driver
  • Collaborate with perception component developers, data scientists, ML Ops, subsystem requirements, and testing teams to ensure seamless integration and subsystem functionality
  • Develop and implement metrics to verify the performance and functionality of perception subsystem requirements using tools such as Git, SQL, Jenkins, Python
  • Analyze data from SIL test environments, identify discrepancies in requirements, and report issues by creating and managing bug tickets
  • Maintain and enhance Python dashboards for real-time visualization of subsystem verification and performance data

Benefits

  • Position is located at HQ in Blacksburg, VA but eligible to work from anywhere in the U.S
  • $141,500.00 - $212,300.00 per year

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