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Executive Tensorflow Jobs in California (NOW HIRING)

Lam Research Corporation

Dir, Engineering

Fremont, CA · On-site

Work closely with Executive leadership to report on the state-of-the-art, current capabilities ... Proficiency in Python, SQL, OpenCV, and machine learning frameworks such as TensorFlow or PyTorch a ...

PlusAI

Data Engineer

Santa Clara, CA · On-site

$135K - $180K/yr

  • Retirement

Work with stakeholders including the Executive, Engineering, and Operation teams to assist with ... TensorFlow, PyTorch) * Experience working with autonomous vehicles or robotics. $135,000 - $180,000 ...

PlusAI

Data Engineer

Santa Clara, CA · On-site

$135K - $180K/yr

  • Retirement

Work with stakeholders including the Executive, Engineering, and Operation teams to assist with ... TensorFlow, PyTorch) * Experience working with autonomous vehicles or robotics. $135,000 - $180,000 ...

PlusAI

Data Engineer

Santa Clara, CA

$135K - $180K/yr

  • Retirement

Work with stakeholders including the Executive, Engineering, and Operation teams to assist with ... TensorFlow, PyTorch) * Experience working with autonomous vehicles or robotics. $135,000 - $180,000 ...

PlusAI

Data Engineer

Santa Clara, CA · On-site

$135K - $180K/yr

Work with stakeholders including the Executive, Engineering, and Operation teams to assist with ... TensorFlow, PyTorch) * Experience working with autonomous vehicles or robotics. Your opportunities ...

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Executive Tensorflow information

What is the difference between Executive Tensorflow vs Data Scientist?

AspectExecutive TensorflowData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; certifications in TensorFlowDegree in Computer Science, Data Science, or related fields; certifications in data analysis and machine learning
Work EnvironmentLeadership roles in tech companies, overseeing AI projects, strategic planningHands-on data analysis, model development, data visualization in research or corporate settings
Employer & Industry UsageTech firms, AI startups, large enterprises implementing AI strategiesResearch institutions, tech companies, finance, healthcare, and retail sectors

Executive Tensorflow professionals focus on strategic leadership and overseeing AI initiatives, often requiring advanced degrees and certifications. Data Scientists are more involved in hands-on data analysis and model building. While both roles work with TensorFlow, their responsibilities and work environments differ significantly.

What are the most commonly searched types of Tensorflow jobs in California?

The most popular types of Tensorflow jobs in California are:

What cities in California are hiring for Executive Tensorflow jobs?

Cities in California with the most Executive Tensorflow job openings:

Executive Tensorflow jobs near you
Infographic showing various Executive Tensorflow job openings in California as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Senior Inference Technical Product Marketing Manager - Accelerated Computing

Nvidia Corporation

Santa Clara, CA • On-site

$142K - $186K/yr

Full-time

Re-posted 9 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

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 148,000 USD - 235,750 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 January 13, 2026.
This posting is for an existing vacancy.
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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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