Nvidia Senior GPU System Software Engineer 

United States, Texas 

522038524

What you will be doing:

• Define and implement the vision of our GenAI products for chip design, aligning it with engineering needs and productivity goals.

• Develop a comprehensive product roadmap, set measurable product goals, and ensure the delivery of features that drive adoption.

• Define, measure, and operationalize product-level and feature-level metrics to identify growth opportunities and optimize performance.

• Validate insights by combining quantitative data analysis with qualitative research methods, including surveys and user experience research, by directly engaging with developers and users.

• Design, execute, and analyze experiments using tools like Python to generate actionable insights and recommendations for product enhancement.

• Build and maintain source-of-truth dashboards, enabling stakeholders to access data for proposing targets and answering key product performance questions.

• Collaborate with designers to build intuitive and engaging user experiences, ensuring a user-first approach across all product touchpoints.

• Monitor, prioritize, and resolve user-reported issues to enhance product reliability and satisfaction.

• Work closely with several cross-functional teams to ensure successful product launches and seamless roadmap execution.

• Advocate for the product's capabilities with developers, supporting their onboarding process and improving the platform's potential.

• Maintain a strong technical background in AI and machine learning, with practical knowledge of key technologies and trends in the space

What we need to see:

• BS/MS in Computer science or related field or equivalent experience.

• 8+ years of proven experience in product management with a strong focus on data-driven decision-making.

• Solid understanding of Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and commonly used agentic frameworks.

• Proficiency in validating insights through both quantitative and qualitative research methods.

• Hands-on experience in designing experiments and analyzing data with Python or similar tools, translating results into actionable product insights.

• Strong skills in creating dashboards and visualizing data for diverse stakeholders.

• Familiarity with UX/UI principles and a demonstrated commitment to user-centered design.

• Exceptional communication and collaboration skills to work across engineering, design, and user-facing teams.

• A proactive problem-solver with the ability to prioritize effectively in a fast-paced environment.

• Experience engaging with developers and advocating for technical products..