Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Communication @ 6
DevOps @ 4
GPU
GenAI
Generative AI
Networking @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is the engine of modern artificial intelligence and Generative AI, and is seeking a passionate Senior Platform Engineer to help make AI accessible to all. This role focuses on NVIDIA's Enterprise Products ecosystem, including CPUs, GPUs, networking, and integrated AI solutions developed with server OEM, cloud, and storage partners.
The role combines infrastructure architecture, systems engineering, and enterprise product design. You will create proof-of-concepts with partners, showcase joint solutions, and collaborate with product managers and engineering leaders to enhance NVIDIA's Enterprise Platform offerings.
Responsibilities
- Architect collaborative solutions using purpose-built AI servers, networking, and storage solutions.
- Develop deep expertise in NVIDIA Enterprise Platforms, including CPUs, GPUs, and related technologies.
- Develop proof-of-concepts with partners that demonstrate a joint vision.
- Run virtual product reviews and establish standards for benchmarking new solutions.
- Resolve issues as partners integrate with NVIDIA Enterprise Platforms.
- Work closely with NVIDIA product managers and engineering leads to refine and expand Enterprise Platforms.
- Build and validate solutions internally as the customer zero.
Requirements
- 12 or more years of experience as a Systems Architect, DevOps Engineer, Platform Engineer, or in a similar technical IT systems architecture role.
- Bachelor's degree or equivalent experience.
- Demonstrated expertise in systems and networking architecture.
- Proven experience collaborating on technical projects with cross-functional teams.
- Strong problem-solving skills and the ability to develop innovative solutions.
- Effective communication skills, including the ability to explain complex technical details to diverse audiences.
- Passion for staying current with technological advancements in AI and related fields.
Preferred Qualifications
- 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 active involvement in technology communities.
- Ability to mentor and support junior team members or peers.
- Experience solving complex problems through non-traditional thinking that led to breakthrough solutions.
Benefits
- Equity eligibility.
- Employee benefits.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. Applications will be accepted at least until October 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.