Santa Clara, California, United States · On-site
$200k–$322k/yr
The NVIDIA Enterprise Product Group builds AI solutions that help enterprises develop, deploy, and scale generative AI, agentic AI, retrieval-augmented generation, and accelerated data workflows from developers laptops t…
Skills: Technical Marketing, Generative AI, RAG, Agentic AI, Kubernetes
Santa Clara, California, United States · On-site
$22/hr–$27/hr
Why Wells Fargo: Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our c…
Skills: Cash Handling, Customer Service, Transaction Processing, Active Listening, Verbal Communication
Santa Clara, California, United States · On-site
$74k–$101k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Sourcing, Supply Chain Management, Inventory Management, Supplier Negotiation, New Product Introduction
Irvine, California, United States · On-site
$199k–$298k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: Outbound Product Marketing, Technology Marketing, Strategic Positioning, Messaging Hierarchy, Product Launch Planning
Santa Clara, California, United States · On-site
$128k–$201k/yr
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 i…
Skills: Lease Administration, Lease Abstraction, Payment Processing, Financial Reconciliation, Data Center Real Estate
Santa Clara, California, United States · On-site
$184k–$357k/yr
Join the new Agentic Engineering team, within the Deep Learning Framework Group, at NVIDIA. We build the agentic workflows that automate code generation, testing, and tuning across NVIDIA's frameworks, compilers, and dev…
Skills: Python, GPU Programming, Multi-agent Orchestration, LangChain, LangGraph
Santa Clara, California, United States · On-site
$147k–$238k/yr
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology an…
Skills: Python, GoLang, GCP, Vertex AI, AI Agents
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: CAD Software, Thermodynamics, Sheet Metal Design, Material Selection, Manufacturing Methods
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: CAD Software, Thermodynamics, Sheet Metal Design, Material Selection, Manufacturing Methods
Santa Clara, California, United States · On-site
Overview Cambrian Homecare, LLC is hiring Caring and Capable individuals who wish to make a difference in the lives of adults and seniors that need some help to remain safely in their homes. WHAT SETS CAMBRIAN APART! Fle…
Skills: Personal Care, Companionship, Meal Preparation, Medication Reminders, Light Housekeeping
Santa Clara, California, United States · On-site
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less in…
Skills: Communication, Customer Centricity, Developing Others, Growth Marketing, Hospital Operations
Santa Clara, California, United States · On-site
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less in…
Skills: Communication, Customer Centricity, Developing Others, Growth Marketing, Hospital Operations
Santa Clara, California, United States · On-site
$142k–$213k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > CPU Engineering General Summary: As a Physical Design Clock Engineer, you will work with microarchitecture, RTL design, CAD, block level…
Skills: Clock Generation, Clock Distribution, SPICE Simulation, CTS Implementation, Jitter Analysis
Santa Clara, California, United States · On-site
$142k–$213k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > CPU Engineering General Summary: Qualcomm Data Center team is developing High performance, Energy efficient server solution for data cen…
Skills: Synthesis, Place and Route, Signoff Timing Analysis, Power Analysis, Full Chip Floorplanning
Santa Clara, California, United States · On-site
$153k–$230k/yr
Company:Qualcomm Atheros, Inc. Job Area:Engineering Group, Engineering Group > ASICS Engineering General Summary: Qualcomm-Atheros, a.k.a. QCA http://www.qualcomm.com/qca/ is a wholly owned subsidiary of Qualcomm and a l…
Skills: Static Timing Analysis, Synthesis, SDC Constraints, MMMC Timing Closure, Low Power Design
Santa Clara, California, United States · On-site
$100k–$190k/yr
NVIDIA is seeking an ASIC Verification Engineer to verify the design and implementation of the world’s leading SOCs and GPUs. This position offers the opportunity to have real impact in a dynamic, technology-focused comp…
Skills: ASIC Verification, System Verilog, Verilog, C++, Python
Santa Clara, California, United States · On-site
$192k–$305k/yr
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 i…
Skills: People Management, Rack Integration, Field Application Engineering, Datacenter Systems, Linux System Administration
Santa Clara, California, United States · On-site
$58k–$93k/yr
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less in…
Skills: Robotic Repair, Troubleshooting, Root Cause Analysis, GMP, GDP
Santa Clara, California, United States · On-site
$113k–$227k/yr
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnost…
Skills: Global Marketing Strategy, Project Management, Competitive Intelligence, Market Insights, Financial Acumen
Folsom, California, United States · Hybrid
$89k–$121k/yr
Job Details: Job Description: The Role and Impact Are you ready to launch your career in an environment that pushes the boundaries of innovation? As a Circuit Design Engineering Graduate Intern, you will play a pivotal r…
Skills: Analog Circuit Design, Digital Circuit Design, EDA Tools, CMOS Technologies, Microarchitecture
Santa Clara, California, United States • On-site
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Create technical content, demos, and developer journeys to accelerate the adoption of NVIDIA's enterprise AI software stack. Act as a bridge between engineering teams and external developers to turn product capabilities into practical adoption paths.
Requires a technical degree and over 12 years of experience in technical marketing, software development, or a related role. Must have hands-on experience with AI/ML, generative AI, and cloud-native deployment patterns like Kubernetes.
The NVIDIA Enterprise Product Group builds AI solutions that help enterprises develop, deploy, and scale generative AI, agentic AI, retrieval-augmented generation, and accelerated data workflows from developers laptops to deployed in data centers, clouds, and AI factories. We are looking for a Senior Technical Marketing Engineer focused on Enterprise AI Software, and accelerating adoption of NVIDIA AI software by creating technical content, developer journeys, demos, reference examples, deployment guides, and documentation that make complex systems understandable and actionable.
Act as a bridge between NVIDIA’s enterprise AI software stack and the developers, platform teams, partners, solution architects, and customers who need to build with it. This includes helping audiences understand how NVIDIA AI Enterprise, NIM microservices, Dynamo, NeMo, RAG and agentic AI blueprints, inference platforms, Kubernetes-based deployment patterns, and developer frameworks and libraries fit together across the full stack. We're looking for someone passionate about building scalable AI software, creating excellent technical content, and helping developers adopt cutting-edge technology, At NVIDIA, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join us and see how you can make a lasting impact on the world!
Refine developer, user, and agent journeys: Understand how developers, enterprise platform teams, partners, and customers, and their respective agents, consume NVIDIA AI software, then craft clear technical journeys supported by documentation, code examples, demos, and deployment guidance.
Showcase enterprise AI software workflows: Build demos, reference examples, notebooks, and sample applications that show how NVIDIA AI software components work together across model development, inference, RAG, agentic AI, evaluation, deployment, and operations.
Build compelling technical assets: Accelerate adoption by creating public-facing content such as product documentation, deployment guides, reference architectures, tutorials, blog posts, whitepapers, technical presentations, webinars, demo videos, and code examples.
Develop automation and docs-as-code workflows: Create repeatable examples and publishing workflows using Git-based documentation, CI/CD, scripts, templates, and AI-assisted docs or skills where appropriate.
Enable the field and partner ecosystem: Support solution architects, sales teams, cloud partners, ISVs, and ecosystem teams with technical assets that help them explain, deploy, and integrate NVIDIA enterprise AI software.
Collaborate across the stack: Work closely with Technical Marketing Engineering, Product Management, Engineering, Developer Relations, Field, and Marketing teams to turn product capabilities into practical adoption paths.
Capture feedback and improve the product experience: Use customer, partner, developer, and field feedback to identify gaps in usability, examples, documentation, deployment patterns, and product workflows.
Engage the developer and open source community: Advocate for NVIDIA AI software in developer, cloud-native, and open source ecosystems, encouraging adoption through clear examples and practical technical storytelling.
BS or MS in Computer Science, Engineering, AI/ML, Data Science, or another technical field, or equivalent experience.
12+ years of proven experience in technical marketing engineering, software development, developer relations, solution architecture, technical writing, product engineering, or a related technical role.
Hands-on experience building, deploying, or explaining AI/ML, generative AI, RAG, agentic AI, LLM-based applications, inference services, or enterprise software workflows.
Experience creating customer-facing technical assets, including product documentation, deployment guides, code examples, tutorials, whitepapers, blog posts, presentations, webinars, or demo videos.
Proven experience with cloud-native software development and deployment patterns, including containers, Kubernetes, Helm, APIs, SDKs, CI/CD, and Git-based workflows.
Strong technical judgment and ability to understand engineering developments, make practical decisions, defend technical opinions, and translate sophisticated details into useful content.
Excellent written, spoken, and visual communication combined with strong cross-functional collaboration skills, with the ability to balance multiple projects, prioritize under deadlines, and work effectively across engineering, product, field, marketing, and partner teams.
Examples of published technical work you authored or built, such as documentation, blogs, tutorials, videos, conference talks, demos, GitHub projects, notebooks, or developer guides.
Experience with NVIDIA AI software or adjacent technologies such as NVIDIA AI Enterprise, NIM, NeMo, TensorRT, Triton Inference Server, RAPIDS, CUDA, AI Blueprints, DGX Cloud, Run:ai, GPU Operator, or Network Operator.
Experience building enterprise-grade generative AI applications, RAG systems, autonomous agents, inference platforms, evaluation workflows, or AI factory software patterns.
Experience working directly with enterprise customers, cloud providers, ISVs, solution architects, sales teams, or partner engineering teams.
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you! NVIDIA benefits is available online at Benefits and Support Programs | NVIDIA Benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 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.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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