Senior Inference Technical Product Marketing Manager - Accelerated Computing

Reposted 20 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
144K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
This role involves driving NVIDIA's inference platform marketing efforts, collaborating with engineering and product management, and creating marketing assets that highlight the company's leadership in AI inference.
Summary Generated by Built In

We are looking for a Senior Technical Product Marketing Manager. This role will be located in our rapidly growing data center business and pivotal in our inference marketing. You will be focused on working with engineering to understand the technical capabilities of our inference stack from GPUs, CPUs, networking, CUDA libraries, model architectures and deployment techniques (parallelisms, configurations, etc.). You will influence NVIDIA’s entire technical marketing strategy to showcase our leadership position in AI inference.

Want to join a fun, creative company that is at the forefront of outstanding Generative AI technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting areas including artificial intelligence and high performance computing. Come grow your career to new heights at one of the fastest growing technology companies!

What You’ll Be Doing:

  • Help drive NVIDIA’s inference platform technical go-to-market efforts

  • Work closely with engineering and product management teams to understand key technical capabilities of our inference stack from GPUs, CPUs, networking, CUDA libraries, model architectures and deployment techniques (e.g.parallelisms, configurations, etc.)

  • Diligently review and remain up to date on model architectures, frameworks, arxiv papers, whitepapers deployment techniques (e.g.disaggregated serving, KV cache implementations) and identify intersection points between the latest AI models and NVIDIA’s platform to maximize performance and minimize TCO

  • Develop crisp clear positioning, messaging and assets to highlight NVIDIA’s leadership position in inference. Assets (blogs, whitepapers, presentations, analyst briefings, seminars at developer conferences)

  • Closely follow competitive inference announcements and prepare appropriate responses for business and technical/developer audiences

  • Assist on building keynote slides for executives for areas that you’re a subject matter expert

What We Need to See:

  • A BS Degree in Computer Science or Engineering or related field or equivalent experience in a technical product marketing role; Masters Degree preferred.

  • 6+ years of experience in LLM, AI/ML development in an engineering role followed by 5+ years of experience in product management or technical product marketing of AI/ML products

  • Deep understanding of modern data center architectures, accelerated computing, distributed inference, deep learning frameworks (PyTorch, TensorFlow, JAX), and inference-specific frameworks & optimizations (Dynamo, Triton Inference Server, TensorRT-LLM, vLLM, SGLang)

  • Market Awareness – Experience conducting technical competitive analysis and synthesizing key insights

  • Collaboration & Influence – Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams

  • Strong Communication, Asset Creation & Storytelling – Ability to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences

  • Ability to present to executive audiences

Ways to Stand Out from the crowd:

  • Hands-on experience with AI inferencing workflows using NVIDIA or open-source serving frameworks running on accelerated computing in the data center

  • Experience developing LLM models

  • Experience working with hyperscale cloud providers

  • Hands-on Technical Competence – Background in software development, AI infrastructure, data center silicon

  • Demonstrated ability to engage with executive leadership and external partners

  • Published technical content or speaking experience at industry events

  • Have a portfolio of published marketing/launch assets

NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you!

#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 144,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 28, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

Cpus
Cuda Libraries
Deep Learning Frameworks
Dynamo
Gpus
Jax
Networking
PyTorch
Sglang
TensorFlow
Tensorrt-Llm
Triton Inference Server
Vllm
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

Granica Logo Granica

Engineering Manager

Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
In-Office
Mountain View, CA, USA
37 Employees
190K-290K Annually

Plain Logo Plain

Operations Associate

Information Technology • Software
In-Office
San Francisco, CA, USA
24 Employees
100K-120K Annually

Klaviyo Logo Klaviyo

Customer Success Manager

Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Hybrid
San Francisco, CA, USA
2400 Employees
72K-108K Annually

True Anomaly Logo True Anomaly

Chief Engineer

Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
In-Office
2 Locations
220 Employees
220K-290K Annually

Similar Companies Hiring

Credal.ai Thumbnail
Software • Security • Productivity • Machine Learning • Artificial Intelligence
Brooklyn, NY
Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account