> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Applied AI Engineer - VLSI Design Canonical URL: https://nextmove.md/fde/jobs/89d1e7f01575e622 NVIDIA posts a FDE role to build for teams inside the company in Santa Clara, CA, at $136,000–$264,500 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Join NVIDIA's custom RAM design team to develop and deploy AI agents that leverage LLMs and machine learning to solve complex VLSI design problems. Read from the employer’s posting on November 8, 2026. - [NVIDIA](https://nextmove.md/fde/companies/nvidia) First seen Jun 2, 2026 · open on Workday as of Nov 8, 2026 **$136,000–$264,500** *annualized* Santa Clara, CA Hybrid Full-time Join NVIDIA's custom RAM design team to develop and deploy AI agents that leverage LLMs and machine learning to solve complex VLSI design problems. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F89d1e7f01575e622&placement=top) - [View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Applied-AI-Engineer---VLSI-Design_JR2019190) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $136K–$265K Above the median Midpoint $200K · median $190K This job $136K to $265K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: Internal teams - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **5+ years** related field ### Do you meet what the posting states? The posting asks for 5+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in Santa Clara, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Santa Clara, CA - **Work arrangement**: Hybrid - **Employment type**: Full-time ## More like this [Applied Compute](https://nextmove.md/fde/companies/applied-compute) ### [GTM AI Engineering](https://nextmove.md/fde/jobs/4aed0be0305443e1) San Francisco, CA On-site 2w ago $160,000–$240,000 [Google](https://nextmove.md/fde/companies/google) ### [AI Tooling Technical Solutions Consultant, GSRS Security Systems and Technology](https://nextmove.md/fde/jobs/b06d4e026bdf987b) Sunnyvale, CA · Austin, TX · +5 more 2w ago $152,000–$221,000 [Amazon (incl AWS)](https://nextmove.md/fde/companies/amazon-incl-aws) ### [Senior Security Engineer, Forward Deployed Engineering, AWS Forward Deployed Engineering](https://nextmove.md/fde/jobs/5965a8234fffc00e) Boston, MA · Seattle, WA · +4 more 7w ago $175,100–$247,600 - [Other jobs at NVIDIA (30)](https://nextmove.md/fde/companies/nvidia) ## The job description from NVIDIA 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-modal dialogue systems. - Develop agentic AI solutions that help solve complex VLSI engineering problems, fine tune & integrate them with CAD flow systems. - Make a difference by using AI technologies to help solve complex problems in chip design more efficiently. - Build and maintain design databases and dashboards that may use agentic and deterministic retrieval mechanisms to fetch pertinent engineering data expediting circuit design closure. - Collaborate with circuit design, layout, technology, and 3rd party EDA vendor teams distributed across geographies and time zones. ### What we need to see - Master's or PhD degree in Electrical Engineering, Computer Science/Engineering or equivalent experience. - 5+ years of proven industry experience in a related field. - Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles. - Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases. - Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams. - A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results. ### Ways to stand out from the crowd - Experience with Large Language Models (LLMs) and their applications in software and AI development - Proficiency in standard methodologies for software development, including version control, testing, and CI/CD. - Deeply interested in learning disparate concepts and putting them together in innovative new ways. - Prior experience with circuit design, HW design is a plus. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 6, 2026. 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. [View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Applied-AI-Engineer---VLSI-Design_JR2019190) ## About NVIDIA Full-stack accelerated computing and AI infrastructure company building GPUs, CPUs, networking, systems, software and platforms for data centers, gaming, professional visualization, automotive and robotics. 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