NVIDIA is looking for a Senior Infrastructure Engineer! NVIDIA is looking to tap onto AI to define next generation of chip design ! NVIDIA is seeking a passionate, highly motivated, and creative senior software engineer to be part of its CPU SOC HW Infrastructure team. We develop methodologies and craft tools to streamline the design/verification of NVIDIA's CPU, memory and SOC designs.
This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We are creating a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. Come, join us today!
Define and deploy AI and ML applications to aid chip design, debug & verification stages.
Collaborate closely with our hardware chip design teams to understand their infrastructure needs and map them onto AI/LLM solutions.
Architect and develop novel tools, user interfaces, and creative applications. Publish work in industry/inhouse conferences.
Stay on top of latest advancements in AI/ML technologies and frameworks (LLM memories, transformers, RL, RAG, GenAI) and advocate for their integration within the company.
Troubleshoot and resolve critical technical or productivity obstacles that impact team’s performance.
BS/MS in Computer Science or Computer Engineering or Electrical Engineering or equivalent experience
5+ years of relevant work experience
Strong software architecture, development, & testing experience.
Solid understanding of Linux, proficient in programming skills (ex. Python / Perl) and version control systems (P4 / git).
Prior exposure to RAGs (Retrieval-Augmented Generation) or MCP or LangGraph based agentic AI workflows
Strong problem-solving abilities and a passion for debugging
Excellent communication and interpersonal skills
Exposure to RTL design/verification tools (VCS or equivalent simulation tools, debug tools like Verdi) and computer architecture.
Experience in creating scalable AI/LLM based applications for a wide user base.
Experience with complete CI/CD workflow (ex. Jenkins, k8s, LSF, Docker, gitlab), interfacing with REST APIs, webservers.
A strong passion for continual learning and keeping abreast of new technologies and approaches in AI/ML infrastructure.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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 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, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS/MS in Computer Science or Computer Engineering or Electrical Engineering or equivalent experience
- 5+ years of relevant work experience
- Strong software architecture, development, & testing experience
- Solid understanding of Linux
- Proficient in programming skills (ex. Python / Perl) and version control systems (P4 / git)
- Prior exposure to RAGs or LangGraph based agentic AI workflows
- Strong problem-solving abilities and passion for debugging
- Excellent communication and interpersonal 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.”
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