NVIDIA is looking for a Senior Software Engineer to join the NVIDIA DOCA™ SDK Verification team. The NVIDIA DOCA™ SDK enables developers to rapidly create applications and services on top of NVIDIA® BlueField® data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of NVIDIA's DPUs.
What you'll be doing:
- Support DevOps initiatives by developing and maintaining CI/CD pipelines to automate build and deployment processes, and by improving monitoring and observability across services
- Contribute to maintaining both physical and cloud-based infrastructure, including troubleshooting and resolving hardware and system-level issues
- Debug and analyze complex system-level issues to identify root causes and drive timely resolution
- Contribute to the development of verification infrastructure, tackling complex technical challenges to enhance coverage, scalability, and robustness of DOCA™ services
- Engage in the full software development lifecycle of verification components, from design and architecture through implementation and validation
- Develop automation to simulate real-world environments and design tests to validate the functionality and performance of the DOCA platform
What we need to see:
- Bachelor’s or Master’s degree in Computer Science or Software Engineering
- Proven experience of 5+ years as a software engineer, with a focus on building complex, scalable systems
- Strong programming skills in languages such as Python, Java, C++, or similar
- Solid understanding of software design and architecture principles, with hands-on experience applying them
- Experience developing CI/CD pipelines and contributing to DevOps practices, with a strong passion for automation
- Experience with Linux virtualization (e.g., QEMU/KVM) and container orchestration platforms such as Kubernetes
- Experience working with hardware, bare-metal servers, and infrastructure environments
- Strong communication and collaboration skills, with the ability to work effectively in a team environment
Ways to stand out from the crowd:
- Expert-level proficiency in Python programming
- Strong knowledge of one or more networking domains, such as Ethernet, VLANs, TCP/UDP/IP, QoS, and L2/L3 protocols
- Experience with software release processes, including codebase management, branching strategies, integrations, maintenance, and bug tracking
- Demonstrated ability to quickly learn, adapt, and ramp up on new technologies and domains
- Hands-on experience with advanced AI tools and frameworks, and the ability to apply them to real-world engineering challenges
We have some of the most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you!
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, disability status or any other characteristic protected by law.
Skills Required
- Bachelor's or Master's degree in Computer Science or Software Engineering
- Proven experience of 5+ years as a software engineer
- Strong programming skills in languages such as Python, Java, C++
- Experience developing CI/CD pipelines
- Experience with Linux virtualization and container orchestration platforms
- Strong communication and collaboration skills
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.”
