Move the needle in testing NVIDIA's DriveOS automotive operating system! As a highly skilled and motivated senior software developer you will push the boundaries for testing and automation. This role offers an outstanding opportunity to leave your mark on our verification strategy and influence our future test automation system.
What you'll be doing:
You will have a unique opportunity to make of pushing the boundaries and ensuring the perfect performance of NVIDIA's DriveOS. Your contributions will directly impact the verification strategy for DriveOS and its quality. Priorities do often change in a fast-paced environment like ours. Some of the exciting things you will work on are:
Developing new and extending existing test strategies to guarantee the highest level of quality from both functional and performance perspectives ensuring that DriveOS meets the standards expected from a world-class product.
Designing and developing software that reliably automates the verification of all DriveOS components playing a crucial role in streamlining our testing processes.
Collaborating with multiple development, verification, and customer-facing teams to gain a comprehensive understanding of DriveOS as a product and its real-world applications facilitating continuous improvement.
Analyzing and root-causing issues down to the code level, leading the defect fixing process, and providing effective fixes to address challenges with efficiency and precision.
What we need to see:
To excel in this role, we are looking for candidates with the following qualifications:
Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field, or equivalent experience.
5+ years of relevant work experience in software development. Your consistent track record in developing large-scale, logical code from scratch in Python or C++ will be instrumental in driving our automation efforts.
Experience in using AI coding assistants to improve coding efficiency and correctness
Demonstrated experience working with embedded systems and automotive sensors like cameras.
Proficiency in Linux and Unix-like systems will be critical for ensuring compatibility and seamless integration.
Experience using source control systems such as Git and Perforce facilitating efficient teamwork and version control.
Strong ability to effectively communicate and collaborate with diverse teams to achieve shared goals.
Strong analytical skills and a keen eye for detail to identify and analyze complex issues and proactively resolve potential challenges
Ways to stand out from the crowd:
Experience working with requirements and task management systems like Jama, Doors or Jira
Hands-on experience in building LLM-enhanced automation pipelines
Experience in testing safety-relevant systems following the ISO26262 recommendations, especially for the hardware-software-interface
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related field or equivalent experience
- 5+ years of relevant software development experience
- Developing large-scale, logical code from scratch in Python or C++
- Experience using AI coding assistants to improve coding efficiency and correctness
- Experience with embedded systems and automotive sensors (e.g., cameras)
- Proficiency with Linux and Unix-like systems
- Experience with source control systems such as Git and Perforce
- Strong communication and collaboration skills
- Strong analytical skills and ability to root-cause issues to code level
- Experience with requirements and task management systems like Jama, DOORS, or Jira
- Hands-on experience building LLM-enhanced automation pipelines
- Experience testing safety-relevant systems following ISO26262 recommendations, especially hardware-software interface
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
