NVIDIA is looking for a talented Senior Software infrastructure and tools Engineer to join the Data Processing Unit (DPU) SW Group. As a part of the team, you will lead complicated integrations which combining new technologies, automating processes, bringing up full software stacks, developing system scripts for cutting edge networking technologies with the quality requirements of industry-leading customers. You will work closely with NVIDIA's SDK development and gain an understanding of NVIDIA's products and technologies.
What you’ll be doing:
Crafting efficiency and usability improvements across NVIDIA proprietary products that will help streamline various release pipelines and processes across NVIDIA.
Definition and development of SDKs to be used for DPU SW development.
POC of new technologies that require additional development/integration efforts.
Creating and maintaining build system for complex SW products.
Developing tools using various NVIDIA proprietary and other cutting-edge technologies.
Collaborate with team members, Architects, design, QA teams, and verification.
What we need to see:
B.Sc. or equivalent experience in Computer Science, Computer/Software Engineering or related field.
5+ years work experience in a software development.
Strong programming skills in Python, Go, and Bash.
Strong understanding of Linux and networking.
Solid expertise in Linux build systems, encompassing RPM and Makefiles.
Experience with Docker, Ansible, and Jenkins pipelines.
Proven object-oriented programming skills and design patterns.
Motivated, responsive, and keen on process improvement.
Excellent Analytical, debugging, and problem-solving skills.
Ways to stand out from the crowd:
Experience with bootloaders.
Contribution to open-source projects.
Experience working with SoC.
Familiar with other SDK such as CUDA SDK.
Strong interest towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Skills Required
- B.Sc. or equivalent experience in Computer Science or related field
- 5+ years work experience in software development
- Strong programming skills in Python, Go, and Bash
- Strong understanding of Linux and networking
- Solid expertise in Linux build systems, encompassing RPM and Makefiles
- Experience with Docker, Ansible, and Jenkins pipelines
- Proven object-oriented programming skills and design patterns
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.”
