Move the needle in testing NVIDIA's embedded software! 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 of pushing the boundaries and ensuring the perfect performance of Nvidia's embedded software systems where your contributions will directly impact the verification strategy and 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. Your innovative approach will ensure that our software meets all standards expected from world-class products.
- Designing and developing agentic systems that autonomously handle the verification of the various domains of embedded software. Your expertise in developing AI enhanced, efficient and reliable automation tools will play a crucial role in streamlining our testing processes.
- Collaborating with multiple development, verification, and customer-facing teams to gain a comprehensive understanding of our products and their real-world applications. Your ability to collaborate effectively is essential for driving 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 allow you 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:
- A Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related field, or equivalent experience.
- 5+ years of experience designing, building, and deploying automation systems.
- A consistent track record of developing large-scale, logical code from scratch in Python or C++, which will be instrumental in driving our automation efforts.
- Extensive, hands-on experience using agentic AI assistants to automate complete work processes and run them autonomously, including building agentic pipelines that complete parts of our development and verification processes autonomously and remain stable long-term.
- Demonstrated experience with embedded systems and automotive sensors such as cameras, helping you adapt quickly to the unique requirements of our embedded platforms.
- Proficiency in Linux environments, with versatility across Linux and Unix-like systems to ensure compatibility and seamless integration.
- Experience with source control systems such as Git and Perforce to facilitate efficient teamwork and version control.
- Strong interpersonal, communication, and analytical skills: you collaborate effectively with diverse teams to achieve shared goals, and your attention to detail and ability to analyze complex issues help you identify and resolve potential challenges proactively.
Ways to stand out from the crowd:
- Experience in identifying inference endpoints and optimizing them for best accuracy and efficiency
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 a related field, or equivalent experience
- 5+ years of experience designing, building, and deploying automation systems
- Experience developing large-scale logical code from scratch in Python or C++
- Hands-on experience using agentic AI assistants and building stable autonomous agentic pipelines
- Experience with embedded systems and automotive sensors such as cameras
- Proficiency in Linux environments and Unix-like systems
- Experience with source control systems such as Git and Perforce
- Strong interpersonal, communication, analytical, and problem-solving skills
- Experience identifying inference endpoints and optimizing them for accuracy and efficiency
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.”
