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
Prioritization @ 6
Reporting @ 6
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
NVIDIA is hiring a Principal Business System Analyst for Engineering Operations in Santa Clara to help scale how teams plan, prioritize, and deliver enterprise platforms and AI initiatives. The role partners with engineering leaders to transform strategic priorities into execution plans, improve operating practices, and lead sophisticated programs from planning through launch and adoption.
Responsibilities
- Lead operational planning across engineering teams, aligning roadmaps, capacity, and commitments with business priorities.
- Establish a consistent cadence for portfolio reviews, delivery tracking, risk management, and leadership updates.
- Drive cross-functional execution, resolve dependencies, and ensure clear ownership of achievements and outcomes.
- Improve intake and prioritization processes to make resource decisions and delivery tradeoffs clear.
- Collaborate with engineering and product leaders to coordinate launch readiness, adoption, and ongoing improvements.
- Define metrics that connect engineering delivery to platform reliability, employee efficiency, and business value.
- Use automation and AI to improve operational workflows, reporting, and decision-making.
- Bring structure to ambiguous initiatives and surface decisions that require leadership alignment.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Business, or a related field, or equivalent experience with 15 or more years of experience.
- Significant experience leading engineering operations, technical programs, or complex enterprise technology portfolios.
- A track record of improving planning and execution across multiple engineering teams.
- Excellent judgment in prioritization, resource planning, dependency management, and navigating ambitious commitments.
- Ability to influence senior collaborators, build alignment, and drive accountability across interpersonal boundaries.
- Experience defining meaningful metrics and translating data into recommendations and decisions.
- Clear communication, including concise executive reporting and recommendations on risks and tradeoffs.
- Technical proficiency across enterprise platforms, software delivery, and AI-enabled experiences.
Compensation and Benefits
The base salary range is USD 196,000–310,500 per year, determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.
Applications will be accepted at least until October 25, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
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