Staff Simulation Engineer for Virtual Validation & Verification of Perception

What you’ll do: 

You will support the virtual testing of our autonomous trucks in a virtual testing environment. You will focus on the virtual verification and validation of the perception components of the autonomous driving system. In this role, you will be responsible for supporting our software, systems, and release teams in the execution of virtual testing of Torc’s software components and integrated autonomous driving systems. You will also provide support to Torc’s development and integration teams and be instrumental in growing the robustness and safety of our self-driving technology. 

• Identify appropriate virtual testing technologies and methodologies for a given component or system-level testing effort
• Identify appropriate verification and validation concepts and strategies for the perception components by end-to-end requirement based testing
• Identify and document use cases and implement prototypes for each use case and assist with the transition and training of these cases to release teams and software development teams
• Acknowledge testing gaps and derive requirements for new or improved test tools, simulation environments and test frameworks. 
• Implement scaled virtual testing and test variation toolchains for individual and integrated software and system components 
• Identify, troubleshoot, debug and resolve technical, configuration and integration issues  

What you’ll need to succeed: 

• Master’s degree in Computer Science, Computer Engineering, Robotics Engineering, Systems Engineering, or engineering equivalent 
• 5 years of software systems integration and testing experience
• 3 years of software development experience  
• Full life cycle software development including unit and software integration testing and configuration management
• Experience with virtual testing and simulation in the field of perception, sensors, and virtual environments
• Programming experience in C and using Python for data analysis
• Working knowledge of Test-Driven Development Methodology and test framework architectures 
• Experience with software and system troubleshooting and problem-solving with specific focus on system-level analysis, fault isolation and identification
• Proficiency with programming under Linux and Linux command line functions
• Working knowledge of basic probability and linear algebra
• Ability to lead virtual testing events within specific areas of system, tracing and troubleshooting the entire software stack
• Experience reporting out to product and quality management on testing progress

Bonus Points! 

• Software-in-the-Loop (SIL) simulation and testing methodologies 
• Specific experience developing LIDAR, Radar, vision, and sensor simulations 
• Automotive or similar test and validation experience
• Experience with developing sensor models, traffic vehicle models, and vehicle dynamics models in a simulation environment  
• ROS (Robot Operating System)
• Kanban, Scrum or Scaled Agile development
• Ability to mentor lower-level engineers