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Executive Tensorflow Jobs in California (NOW HIRING)

... • TensorFlow or PyTorch would be helpful. • Use of algorithms for problem-solving or Deep ... level executives up to CEO level. Qualifications : Required : • Software AI, ML, and Deep ...

... frameworks (TensorFlow, PyTorch, Scikit-learn) ✅ Experience with IaC: AWS CDK, Terraform ... Excellent communication with technical & executive stakeholders ???? Preferred: * AWS ...

Solutions Architect

Santa Clara, CA · On-site

$180 - $240/hr

Experience with GPUs as well as expertise in using deep learning frameworks such as TensorFlow or ... executives and engineering teams. #J-18808-Ljbffr

Techstack: * Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch ... A conversation with Deniz Kavi (CEO & Co-founder) about product, collaboration, and how you ...

... executive engine powering our company's data transformation. In this high-impact leadership role ... g., PyTorch, TensorFlow, scikit-learn). * Architecture & Pipelines: Deep expertise in pipeline ...

Role : Android Developer

Fremont, CA · On-site

$61.25 - $80.50/hr

... executives within the organization; and resolving technology differences across teams through ... Camera X, Camera 2 API, TensorFlow Lite, OpenCV, FFMpeg • Experience with pushing mobile hardware ...

Act as the technical authority and executive sponsor on large deals, possessing the credibility to ... PyTorch, JAX, TensorFlow. • Technical Competency: Distributed Computing: Slurm, Ray, Kubernetes ...

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Showing results 1-20

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 jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

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:

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.

AI and Cloud Service Provider Account Executive

Intel Corporation

Santa Clara, CA • On-site, Remote

$366K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 159 rated electronics manufacturers


Job description

Job Details:
Job Description:
This is a high-visibility, commissioned sales leadership role within Intel's US Sales organization, specifically focused on our most disruptive AI-Native and Strategic CSP accounts. You will be the primary architect of Intel's relationship with industry titans who are redefining the boundaries of AI model training, AIaaS solutions and deployment at scale.
This is not a traditional sales role. You will operate at the intersection of deep technical engineering and executive business strategy, ensuring Intel's silicon and software roadmap aligns with the world's most demanding AI-as-a-Service and SaaS platforms across on-prem, Tier1 CSP and NeoCloud environments.
Key Responsibilities
  • Executive Orchestration: Act as the One Intel lead, building deep-rooted partnerships with C-suite executives and Principal Engineers at world-class AI and SaaS firms.
  • Technical Value Synthesis: Translate complex hardware architectures (CPU, GPU, Accelerator, Networking, and Packaging) into business outcomes for customers running massive-scale distributed training and inference workloads.
  • Strategic Growth: Drive Intel's data-centric growth strategy by identifying and securing design wins within the core infrastructure of the world's leading AI models and solution providers.
  • Cross-Functional Leadership: Partner closely with Cloud Solution Architects (CSAs), Intel Business Units, Cloud and OEM partners to influence future product roadmaps based on the unique needs of AI-native disruptors.
  • Market Evangelism: Serve as a technical and business evangelist, articulating Intel's vision for the future of AI and compute infrastructure in a highly competitive landscape.

Qualifications:
Minimum Qualifications
  • Bachelor's degree.
  • 5+ years of data center cloud sales or business development experience.
  • Candidates who reside within a 30-mile radius of an Intel office location are required to work in a hybrid arrangement.

Preferred Qualifications
  • Close proximity to an Intel office location is strongly preferred. Candidates within convenient commuting distance are highly desirable to support effective collaboration and in-person team interactions.
  • AI and Cloud Fluency: Deep understanding of the AI pipeline-from LLM training clusters to edge inference. You should be comfortable discussing TCO, FLOPS, memory bandwidth, and interconnect latency.
  • Full-Stack Knowledge: Mastery of data center ingredients (CPU, DDR5, HBM, PCIe Gen5/6/7, Ethernet/InfiniBand) and how they impact cloud-native software stacks.
  • Proven Track Record: Experience managing high-complexity, multi-million-dollar accounts with a history of navigating long, technical sales cycles and the negotiation of complex agreements.
  • Communication Mastery: Ability to simplify the complex. You can present a business case to a CFO in the morning and dive into architectural bottlenecks with a Lead Systems Engineer in the afternoon.
  • Workload Optimization: Experience in workload characterization and optimization for distributed AI training environments.
  • Ecosystem Knowledge: Familiarity with the AI software ecosystem (PyTorch, TensorFlow, Triton, etc.) and how hardware acceleration layers interface with these frameworks.
  • Competitive Intelligence: Deep understanding of the competitive landscape in AI compute and a proven ability to articulate Intel's unique value proposition against alternative architectures.

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
Virtual US
Additional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $178,520.00-366,170.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job posting details (such as work model, location or time type) are subject to change.The application window for this job posting is expected to end by 09/10/2026
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968