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Edge Ai Jobs (NOW HIRING)

$230K - $265K/yr

AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Job Title: Edge AI Silicon Product Marketing Director ...

Senior Product Manager, Edge AI CPU

Austin, TX · On-site

$125K - $165K/yr

Arm is enabling the next generation of Edge AI by combining industry-leading compute platforms with optimized implementation technologies that accelerate customer innovation. As AI workloads continue ...

PR · On-site

Build the platform that runs SEVN -- the software infrastructure that deploys, monitors, and scales vision models across the fleet of edge nodes on the line. What you'll do * Build and operate the ...

Senior Staff AI Engineer, Edge AI

Sunnyvale, CA · Hybrid

$122K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. * Integrating ML flows, including cloud-based ...

Senior Product Manager, Edge AI CPU

Austin, TX · On-site

$125K - $165K/yr

Arm is enabling the next generation of Edge AI by combining industry-leading compute platforms with optimized implementation technologies that accelerate customer innovation. As AI workloads continue ...

Senior Staff AI Engineer, Edge AI

San Jose, CA · Hybrid

$122K - $168K/yr

Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. * Integrating ML flows, including cloud-based ...

Senior Staff AI Engineer, Edge AI

San Francisco, CA · Hybrid

$123K - $169K/yr

Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. * Integrating ML flows, including cloud-based ...

Senior Staff AI Engineer, Edge AI

Mountain View, CA · Hybrid

$123K - $169K/yr

Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. * Integrating ML flows, including cloud-based ...

Senior Staff AI Engineer, Edge AI

Sunnyvale, CA · On-site

$122K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. * Integrating ML flows, including cloud-based ...

$265K - $300K/yr

AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. About Ambarella Ambarella is a leading fabless ...

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Edge Ai information

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How much do edge ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for edge ai in the United States is $20.30, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $24.04 per hour, depending on experience, location, and employer.

What is the difference between Edge Ai vs Data Scientist?

AspectEdge Ai
Required CredentialsTypically a degree in computer science, electrical engineering, or related fields; certifications in AI or machine learning are common
Work EnvironmentPrimarily involves working with embedded systems, IoT devices, and hardware in diverse locations
Employer & Industry UsageUsed by tech companies, hardware manufacturers, and IoT solution providers focusing on real-time data processing
Common Search & Comparison IntentUnderstanding hardware-focused AI deployment and real-time processing capabilities

Edge Ai specialists focus on deploying AI models directly on hardware devices at the edge, emphasizing real-time processing and hardware integration. Data Scientists, however, primarily analyze data, develop models, and work in cloud or server environments. While both roles involve AI and machine learning, Edge Ai is more hardware-centric, whereas Data Scientists focus on data analysis and model development in software environments.

What is edge AI and how does it work?

Edge AI refers to deploying artificial intelligence algorithms directly on devices at the edge of the network, such as sensors or smartphones, rather than relying on centralized cloud servers. It processes data locally, enabling faster response times, reduced bandwidth use, and improved privacy. Professionals working with edge AI often need skills in embedded systems, machine learning, and hardware integration.
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Infographic showing various Edge Ai job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 76% In-person, 12% Hybrid, and 12% Remote job distribution, with an average salary of $42,216 per year, or $20.3 per hour.

Edge AI Silicon Product Marketing Director

Ambarella

$230K - $265K/yr

Full-time

Re-posted 27 days ago


Job description

AI Vision Processors For Edge ApplicationsOur solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

Job Title: Edge AI Silicon Product Marketing Director

Ambarella (NASDAQ: AMBA) is a leading fabless semiconductor company that creates edge AI-based computer vision solutions. Our SoCs (System-on-Chips) are at the heart of a wide range of products, including AI-enabled cameras for human and computer vision applications, such as ADAS and autonomous driving, video security, and robotics. We are passionate about developing technology that makes the world safer and smarter, from enhancing vehicle safety to powering intelligent security systems that protect privacy. Join our team and contribute to cutting-edge innovations that are shaping the future of AI and computer vision.

Job Description:

The Edge AI Silicon Product Marketing Director is responsible for defining and driving the development of our next generation chips targeted for the edge AI server, IoT gateway hardware products. This role will work closely with cross-functional teams, including engineering and sales to identify market opportunities, define product requirements, and drive product development. The ideal candidate will have a deep understanding of the edge AI and IoT markets, silicon product development, and a proven track record of launching successful silicon products.

Key Responsibilities:

Market Analysis and Opportunity Identification:

  • Conduct market research and analysis to identify opportunities for edge AI server and IoT gateway silicon products.
  • Analyze customer needs, competitor activity, and market trends to inform product development.
  • Develop and maintain a deep understanding of the edge AI and IoT ecosystems.

Product Definition and Requirements:

  • Define and prioritize product requirements for edge AI server and IoT gateway silicon products.
  • Collaborate with cross-functional teams to ensure product requirements are met.
  • Develop and maintain product roadmaps and release plans.

Product Development and Launch:

  • Work closely with engineering teams to drive product development and ensure timely delivery.
  • Collaborate with sales teams to develop go-to-market strategies and launch plans.
  • Manage product launches, including product announcements, demos, and customer support.

Product Lifecycle Management:

  • Manage product lifecycles, including product updates, refreshes, and end-of-life planning.
  • Collaborate with supply chain and manufacturing teams to ensure product availability and quality.
  • Monitor and analyze product performance, including sales, customer feedback, and market trends.

Stakeholder Management:

  • Collaborate with internal stakeholders, including engineering, sales, and executive teams.
  • Manage external stakeholders, including customers, partners, and suppliers.
  • Develop and maintain strong relationships with key stakeholders.

Requirements:

Education: Bachelor's degree in electrical engineering, Computer Science, or a related field. MBA or advanced degree preferred. Experience: 10+ years of experience in silicon product management/marketing, with a focus on edge AI and IoT products. Skills:

  • Strong understanding of edge AI and IoT markets, including customer needs and competitor activity.
  • Experience with silicon product development, including product definition, requirements, and development.
  • Strong analytical and problem-solving skills, with ability to analyze complex data and make informed decisions.
  • Excellent communication and collaboration skills, with ability to work cross-functionally.
  • Experience with product lifecycle management, including product updates, refreshes, and end-of-life planning.

Technical Skills:

  • Familiarity with edge AI and IoT technologies, including AI accelerators, IoT protocols, and edge computing architectures.
  • Understanding of silicon design and development, including system design, mechanical design, and thermal management.

The base range is $230,000-$265,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The successful candidate will have the opportunity to convert to a full-time regular position. We also offer new-hire RSU grants and the opportunity for annual RSU grants, as well as other highly competitive benefits