Applied AI Engineer
Technology
AppliedAIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied AI Engineer at Applied AI Engineer. Skills: AI, LLMs, VLSI design, Software development. Design AI applications. Develop AI applications”
What You'll Achieve.
Enhance efficiency; Enhance productivity; Enhance quality
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
Master's or PhD degree, 5+ years industry experience, Proficiency in Python, Foundational data structures knowledge, Foundational algorithms knowledge, Foundational software engineering principles knowledge, Experience fine-tuning LLMs, Experience building multi-agent systems, Experience with RAG pipelines, Experience with vector databases, Analytical skills, Communication skills, Interpersonal skills, Ability to thrive in dynamic teams, Ability to thrive in product-focused teams, Ability to thrive in distributed teams, Proactive problem-solving approach, Willingness to acquire new skills
Nice to Have
Experience with LLMs, Experience with circuit design, Experience with HW design
What You'll Do.
Design AI applications
Develop AI applications
Deploy AI applications
Drive impact with infrastructure
Build infrastructure for LLM solutions
Develop agentic AI solutions
Solve complex VLSI problems
Fine-tune AI solutions
Integrate AI solutions with CAD flow
Solve chip design problems
Build design databases
Maintain design databases
Fetch engineering data
Expedite circuit design closure
Collaborate with circuit design teams
Collaborate with layout teams
Collaborate with technology teams
Collaborate with EDA vendor teams
How You'll Work.
Team & Collaboration
Distributed teams; Cross-geography teams; Cross-time zone teams
Communication Scope
Communication
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA's custom RAM design team, where we are pushing the boundaries of memory technology to power the next generation of AI and accelerated computing. Our team operates at the intersection of innovative circuit design and scalable CAD infrastructure, tackling some of the most complex memory design challenges in the industry. We are looking for dedicated Software Engineers to work on developing and deploying AI agents that leverage machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows. **What you 'll be doing:** * Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies. * Drive impact by designing and building the needed infrastructure to deploy LLM-powered solutions for engineering assistants and multi-turn, multi-moda
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