Senior Software Developer Test and Automation for DRIVE Sim

at Nvidia

📍 Santa Clara, United States

$132,000-258,800 per year

SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Linux @ 6 Python @ 6 Communication @ 7

Details

Move the needle in testing NVIDIA's simulation platform for autonomous driving! As a Senior Software Developer Test and Automation for DRIVE Sim at NVIDIA, you will have the outstanding opportunity to leave a significant impact on our verification strategy, enabling to efficiently run large-scale, physically based multi-sensor simulations.

Responsibilities

  • Developing software solutions to automate the verification of all DRIVE Sim components. Your expertise in developing efficient and reliable automation tools will play a key role in scaling and streamlining our test efforts.
  • Developing new and extending existing test strategies to guarantee the highest level of quality from both functional and performance perspectives. With your help we will continue to meet the highest quality standards expected by our customers!
  • Collaborating with multiple engineering development, verification, and customer-facing teams to gain a comprehensive understanding of DRIVE Sim as a product and its real-world applications. Your ability to collaborate effectively will be crucial to find the best approaches for driving our continuous improvement.
  • Analyzing and root-causing issues down to the code level, leading the defect fixing process, and providing effective fixes. Your strong problem-solving skills will help to address challenges effectively and accurately.

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience in a related field are the vital foundation to succeed in this technical role.
  • 3+ years of relevant work experience and consistent track record in developing large-scale, logical code from scratch in C++ and Python.
  • Experience working with physical simulation or game engines to understand and adapt quickly to our automotive simulation platform.
  • Proficiency working in both Linux and Windows environments.
  • Strong interpersonal and communication skills are essential to successfully collaborate with diverse teams to achieve shared goals.
  • Strong analytical skills and ability to analyze complex issues will enable you to identify and resolve challenges quickly.

Ways to stand out from the crowd:

  • Background in development using tools like Unreal Engine, Unity Engine or Blender.
  • Experience in simulation and scene development for autonomous driving.
  • Experience with sensors used in autonomous driving, such as camera or LIDAR.