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. Your educational background will provide you with the foundation necessary to succeed in this technical role.
- 8+ years of experience designing, building, and deploying automation systems.
- Your consistent track record in developing large-scale, logical code from scratch in Python or C++ will be instrumental in driving our automation efforts.
- Extensive experience in using agentic AI assistants to automate complete work processes and run them autonomously
- Extensive, hands-on experience in building agentic pipelines that complete parts of our development and verifications processes autonomously and long-term stable
- Demonstrated experience working with embedded systems and automotive sensors like cameras. Your familiarity with these technologies will help you to adapt quickly to the unique requirements of our embedded platforms.
- Proficiency in Linux environments. Your versatility in working with Linux and Unix-like systems will be critical for ensuring compatibility and seamless integration.
- Experience using source control systems such as Git and Perforce. Your knowledge of these tools will facilitate efficient teamwork and version control.
- Strong interpersonal and communication skills are essential. You will need to effectively communicate and collaborate with diverse teams to achieve shared goals.
- Strong analytical skills. Your keen eye for detail and ability to analyze complex issues will enable you to 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, a related field, or equivalent experience
- 8+ years of experience designing, building, and deploying automation systems
- Experience developing large-scale code from scratch in Python or C++
- Extensive experience using agentic AI assistants to automate complete work processes autonomously
- Extensive hands-on experience building stable agentic pipelines for development and verification processes
- 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 and communication skills
- Strong 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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
