Tech Stack

Description

You will design and execute test campaigns for self-driving features across virtual, synthetic, and physical environments. Your work ensures safety-critical system evaluation and iterative development of autonomous vehicle technology.

Requirements

• Bachelor's degree in Engineering, Robotics, ECE, Computer Science, or related field
• 2+ years in software QA, systems testing, or mechatronic validation, preferably in ADAS or autonomous systems
• Proficiency in Linux and programming/scripting languages such as Python, C++, or Bash/Shell
• Experience with AV simulation platforms (e.g., Applied Intuition, IPG Carmaker, NVIDIA DRIVE Sim) or HIL environments or track testing
• Ability to troubleshoot, debug, and think logically

Responsibilities

• Design and execute test campaigns for self-driving features across virtual, synthetic, and physical environments
• Leverage SIL, HIL, and scenario-based simulation platforms for feature validation and regression testing
• Create synthetic and log-replay scenarios for root-cause analysis and large-scale release validation
• Develop and maintain test plans and automation scripts using Python and Bash/Shell
• Analyze logs and data to assess system behavior and conduct root-cause investigations