Want to know if this job is worth applying to?
San Jose, California, United States
Onsite
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 for chip design 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. We're specifically looking for a leader who has worked at the intersection of chip design and AI — with experience post-training LLMs, time in the chip design industry, and a track record of releasing real products that accelerated chip design. 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 chip design related 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.
Direct experience at the intersection of chip design and AI — including work in the chip design industry and a track record of releasing real products/apps that accelerated chip design.
A track record of leading teams that build ML/AI systems, with hands-on experience post-training LLMs and building 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.