招聘

Senior Inference Technical Product Marketing Manager - Accelerated Computing
US, CA, Santa Clara
·
On-site
·
Full-time
·
1mo ago
Compensation
$148,000 - $287,500
Benefits & Perks
•Team offsites
•Flexible PTO
•Remote options
•Development budget
•Health benefits
•Stock options
•Healthcare
•Equity
Required Skills
HubSpot
Marketo
SEMrush
Senior Technical Product Marketing Manager
About the Role
We are looking for a Senior Technical Product Marketing Manager to join our rapidly growing data center business and play a pivotal role in our inference marketing. This role will focus 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 (Py Torch, Tensor Flow, 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
About NVIDIA
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!
NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.
Additional Information
- Location: Hybrid
- Base Salary Range:
- Level 4: $148,000 USD - $235,750 USD
- Level 5: $184,000 USD - $287,500 USD
- Compensation: You will also be eligible for equity and benefits
- Application Deadline: At least until January 13, 2026
Equal Opportunity Statement
NVIDIA uses AI tools in its recruiting processes. 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.
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago