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 AI team, you will have the opportunity to lead a team at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you're enthusiastic about guiding top teams in brand new technologies crafting generative AI, this role presents a prime chance for innovation.
What You Will Be Doing:
Manage and grow a team building agentic AI solutions, including sophisticated coding agents, custom skills/tools, and their integration with enterprise production systems for chip design workflows.
Provide technical direction and strategic leadership in the design, development, and deployment of AI applications using LLMs, agentic systems, and related technologies.
Drive model customization and post-training — including fine-tuning, RL, and instruction/skill tuning — to adapt LLMs for chip-design coding, debugging, and reasoning tasks.
Oversee development of retrieval and generation algorithms for enterprise data (text, code, waveforms, and images) to support advanced AI use cases across EDA and hardware engineering.
Partner closely with engineering, research, and product teams to deliver LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
Ensure high technical standards and drive operational excellence across AI application development efforts, including evaluation frameworks, safety guardrails, and production monitoring of agent behavior.
Stay informed on the latest advancements in ML/AI and ensure your team adopts the most effective techniques and tools.
Foster a collaborative, inclusive, and high-performance team culture while mentoring team members and supporting their career growth.
What We Need to See:
Master's or PhD in Electrical Engineering, Computer Science/Engineering, or a related field (or equivalent practical experience).
12+ years of industry experience overall, including 5+ years in technical leadership or managing software/AI teams.
A track record of leading teams that build ML/AI systems, with hands-on exposure to post-training LLMs and agentic systems.
Deep technical foundations in software engineering — especially Python, data structures, and large-scale system design.
Strong people-leadership instincts: mentoring, coaching, and building teams that consistently perform at a high level.
A history of steering cross-functional efforts and shipping production-grade AI applications.
A hands-on leader who moves fluidly between strategic direction and deep technical execution.
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 visionary and supportive leader who thrives in a fast-paced, mission-driven environment? Come join our applied AI engineering team and help us shape the future of chip design.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Master's or PhD in Electrical Engineering, Computer Science or related discipline
- 12+ years of industry experience
- 5+ years in technical leadership or managing AI teams
- Experience managing teams building ML/AI systems
- Strong foundation in software engineering, particularly Python
- Leadership, mentoring, and coaching skills
- Success in leading cross-functional teams
- Proactive, hands-on leader
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.
NVIDIA Insights
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.”
