NVIDIA is the engine of modern artificial intelligence and Generative AI, the biggest technology breakthrough of our time. We're on a mission to make AI accessible to all, and we're seeking a passionate Senior Platform Engineer to join our cause. As part of our team, you'll dive deep into NVIDIA's Enterprise Products ecosystem, mastering NVIDIA's CPUs, GPUs, networking, and how to put it all together to build something incredible. Your expertise will be crucial in engineering solutions with server OEM, cloud, and storage partners, ensuring NVIDIA is seamlessly integrated to optimize AI solutions.
This role is a unique blend of infrastructure architecture, systems engineering, and product design for the enterprise. You'll be crafting proof-of-concepts with partners that showcase a joint vision. Additionally, you'll collaborate closely with our product managers and engineering leaders to continuously enhance NVIDIA's Enterprise Platform offerings. Working at NVIDIA is all about efficiency and multiplying efforts; being a Platform Architect is at the nexus of this ethos.
What you’ll be doing:
- Architecting collaborative solutions with cutting edge purpose-built AI server, networking, and storage solutions
- Immersing yourself in NVIDIA Enterprise Platforms: CPUs, GPUs, and everything in between
- Developing proof-of-concepts with partners that demonstrate the joint vision
- Running virtual product reviews and setting the standard for benchmarking new solutions
- Jumping in to solve issues as partners integrate with NVIDIA Enterprise Platforms
- Working closely with NVIDIA product managers and engineering leads to refine and expand NVIDIA Enterprise Platforms
- Customer zero: we build the best and we build it first
What we need to see:
- 12+ years working as a Systems Architect, DevOps Engineer, Platform Engineer, or similar technical IT systems architectural experience
- Bachelor's degree or equivalent experience
- Demonstrated expertise in systems and networking architecture
- A proven track record of collaborating on technical projects with cross-functional teams
- Strong problem-solving skills with the ability to craft innovative solutions
- Effective communication abilities and adept at translating complex technical details to diverse audiences
- A passion for staying updated with the latest technological advancements in AI and related fields
Ways to stand out from the crowd:
- Advanced certifications or publications in AI, virtualization, cloud services, or related fields
- Experience leading high-impact projects or initiatives in innovative tech domains
- Proactive contributions to open-source projects or active involvement in tech communities
- Proven ability to mentor and uplift junior team members or peers
- Unique problem-solving experience where non-traditional thinking led to breakthrough solutions.
NVIDIA is 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. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.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
- 12+ years of experience as a Systems Architect, DevOps Engineer, Platform Engineer, or in similar technical IT systems architecture roles
- Bachelor's degree or equivalent experience
- Expertise in systems and networking architecture
- Experience collaborating on technical projects with cross-functional teams
- Strong problem-solving skills and ability to develop innovative solutions
- Effective communication skills and ability to explain complex technical details to diverse audiences
- Passion for staying current with AI and related technological advancements
- Advanced certifications or publications in AI, virtualization, cloud services, or related fields
- Experience leading high-impact projects or initiatives in innovative technology domains
- Contributions to open-source projects or involvement in technology communities
- Experience mentoring and developing junior team members or peers
- Demonstrated unconventional problem-solving leading to breakthrough solutions
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.”
