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 @ 3
API @ 6
Agile @ 7
Change Management @ 4
Communication @ 6
GPU
GenAI
Generative AI @ 3
HPC
Observability @ 6
Prioritization @ 7
Security @ 4
Technical Proficiency @ 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
Join NVIDIA IT’s Strategy Planning & Delivery Organization to modernize enterprise applications and digital workplace capabilities. Partner with engineering, IT, security, and business teams to deliver secure, reliable employee experiences—from roadmap through adoption and operations.
NVIDIA is leading groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, NVIDIA’s invention, serves as the visual cortex of modern computers and is at the heart of its products and services. NVIDIA is looking for exceptional technical leaders to help architect reliable platforms that will accelerate the next wave of artificial intelligence.
Responsibilities
- Lead concurrent enterprise-application programs from planning through delivery, rollout, adoption, and operational handoff.
- Translate ambitious business goals into clear scope, roadmaps, achievements, resources, and measurable outcomes.
- Manage dependencies, risks, trade-offs, and decisions.
- Align engineering, IT operations, architecture, security, business partners, and vendors to deliver integrations and platform changes.
- Run Agile or hybrid execution and communicate progress and critical issues.
- Use adoption, reliability, and service measures to improve results.
Requirements
- Bachelor’s degree in computer science, engineering, information systems, or equivalent experience.
- 12+ years of experience in technical program management, IT, software delivery, or a related field, including 8+ years leading complex, cross-functional enterprise technology programs.
- Program-delivery experience in one or more of the following areas:
- Enterprise SaaS or cloud applications
- Employee-facing web or mobile platforms
- Search, content, or knowledge systems
- APIs, integrations, and identity
- AI-enabled workflows and automation
- Analytics, observability, or service reliability
- Enterprise-application or digital-workplace experience is especially relevant.
- Technical proficiency across application architecture, data flows, security, reliability, and operational readiness.
- Strong Agile or hybrid delivery, risk-management, and prioritization skills.
- Excellent communication and stakeholder-management skills, with a record of delivering through ambiguity and across globally distributed teams.
Preferred Qualifications
- Experience leading large-scale application migrations, integrations, or employee rollouts, including change management and adoption.
- Familiarity with generative AI or agentic workflows, enterprise search, and related security and governance considerations.
Compensation and Benefits
The expected base salary range is $200,000–$322,000 USD. Base salary will be determined based on location, experience, and other objective job-related factors. The role is also eligible for equity and benefits.
Applications will be accepted at least until November 6, 2026. NVIDIA uses AI tools in its recruiting processes and is committed to fostering an inclusive work environment and providing equal employment opportunities.