Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Security @ 4
API @ 4
Compliance @ 4
AI @ 4
- 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today the company is focused on AI and accelerated computing. You will lead a platform team building a browser-based, multi-user analysis platform used across several developer-tools products, and lead the cross-team architecture alignment that turns a prototype into a shared product foundation.
Responsibilities
- Lead the platform engineering team (frontend, backend, data, security) while guiding the roadmap from prototype hardening to productization.
- Drive the architecture readout and align principles, standard terms, and a component-compliance guideline across multiple consuming product teams.
- Govern the architecture guideline and P0 gap matrix; resolve open decisions (auth model, session semantics, data plane, plugin API) with one accountable owner per question.
- Manage the external-framing/shareability story: present honestly as an architecture spike with concrete guidelines and identified productization gaps, without over-claiming finished capabilities.
Requirements
- BS or MS in Computer Science or related field, or equivalent experience.
- 10+ years of engineering experience with 2+ years leading or managing engineers.
- Track record shipping full-stack platforms (frontend libraries + backend services).
- Strong architectural judgment covering presentation layer, application logic, data handling, and security domains.
- Experience driving cross-team technical alignment and standards.
Ways to stand out from the crowd
- Background in developer tools, profilers, or data-visualization/analytics products.
- Experience taking a prototype to a productized, multi-team platform.
- Familiarity with NVIDIA's Developer Tools ecosystem.
Compensation and benefits
- Base salary range: 272,000 USD - 431,250 USD (final base salary determined by location, experience, and internal pay).
- Eligible for equity and benefits. For more information about benefits see: https://www.nvidia.com/en-us/benefits/
Additional details
- Applications accepted at least until July 18, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.
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