Senior Software Developer Test and Automation for DRIVE Sim

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Software Developer Test and Automation for DRIVE Sim will develop software solutions for automating verification in NVIDIA's simulation platform, enhance test strategies for quality assurance, and collaborate with various teams while addressing complex issues related to autonomous driving.
Summary Generated by Built In

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.

What you will be doing:

Priorities do often change in a fast-paced environment like ours. The exciting things you will work on include:

  • 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.

What we need to see:

To excel in this role, we are looking for candidates with the following qualifications:

  • 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.

The base salary range is 132,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C++
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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