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 @ 4
API
Compliance
GPU
Security @ 7
- 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, NVIDIA is tapping into the potential of AI to define the next era of computing, with GPUs powering computers, robots, and self-driving cars that can understand the world.
You will lead a platform team building a browser-based, multi-user analysis platform used across several developer-tools products. You will also lead cross-team architecture alignment to turn a prototype into a shared product foundation.
Responsibilities
- Lead the platform engineering team across frontend, backend, data, and security while guiding the roadmap from prototype hardening to productization.
- Drive the architecture readout and align principles, standard terminology, and a component-compliance guideline across multiple consuming product teams.
- Govern the architecture guideline and P0 gap matrix.
- Resolve open decisions involving the authentication model, session semantics, data plane, and plugin API, with one accountable owner for each question.
- Manage the external framing and shareability story by presenting the work 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 a related field, or equivalent experience.
- 10+ years of engineering experience, including 2+ years leading or managing engineers.
- Track record of shipping full-stack platforms, including frontend libraries and backend services.
- Strong architectural judgment covering the presentation layer, application logic, data handling, and security domains.
- Experience driving cross-team technical alignment and standards.
Preferred Qualifications
- Background in developer tools, profilers, or data-visualization and analytics products.
- Experience taking a prototype to a productized, multi-team platform.
- Familiarity with NVIDIA's Developer Tools ecosystem.
Benefits
NVIDIA offers competitive salaries, a comprehensive benefits package, equity, and benefits for employees and their families. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.