Applied AI Engineer

Technology

AppliedAIEngineer

$136–265k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Technology
Problems you'll solve

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

Free ATS check

Applying for this Applied AI Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Applied AI Engineer?

Real rants from real employees. Read before you apply.

Read Company Rants →