NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years! It’s an outstanding legacy of innovation that’s fueled by phenomenal technology—and outstanding people! As part of NVIDIA's applied LLM engineering team, you will have the opportunity to tap into the unlimited potential of AI and shape the landscape of chip design at NVIDIA and throughout the industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you thrive on uncovering insights, turning them into impactful features and taking products from 0 to 1 - then this role and team offer an exciting opportunity to be at the forefront of innovation.
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..
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and entrepreneurial individual who loves a challenge? Come join our applied AI team, driving innovation and creating impactful solutions as we build the future of chip design.
The base salary range is 168,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
