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Edge Ai Jobs (NOW HIRING)

Ambarella

$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 ...

Ambarella

$265K - $300K/yr

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

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How much do edge ai jobs pay per hour?

As of Jul 13, 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.

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Infographic showing various Edge Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $42,216 per year, or $20.3 per hour.
Director, Global Partner Solutions (Edge AI Ecosystem)

Director, Global Partner Solutions (Edge AI Ecosystem)

Ambarella

$265K - $300K/yr

Full-time

Re-posted 16 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

About Ambarella

Ambarella is a leading fabless semiconductor company at the forefront of edge AI-based computer vision. Our SoCs (System-on-Chips) power everything from autonomous driving and ADAS to intelligent video security and robotics. We are building the next generation of Edge AI, operating at the intersection of high-performance hardware and real-world software deployment.

The Role

As the Director of Global Partner Solutions, you will be the chief architect of our Edge AI ecosystem. You won't just manage relationships; you will translate our silicon and software capabilities into scalable, partner-led enterprise solutions. This is a critical leadership role designed to pivot Ambarella from a silicon provider to a comprehensive solution platform.

Core Responsibilities

  • Strategic Architecture: Define global partner strategies and vertical architectures across ISV and GSI ecosystems, specifically for GenAI and application workloads.
  • Ecosystem Orchestration: Lead multi-party collaborations (ISV + GSI + OEM + Distributor) to co-engineer and co-innovate "complete" solutions that solve specific customer pain points with rapid speed-to-market.
  • Solution Packaging: Develop and maintain validated, repeatable solution stacks and establish proactive outbound communication channels with the partner ecosystem.
  • Technical Enablement: Empower developers and partners by providing the necessary SDKs, tools, and playbooks to build on Ambarella platforms.
  • GTM & Competitive Strategy: Drive Go-To-Market integration and pipeline creation while establishing our competitive positioning against NVIDIA, Qualcomm, and x86 architectures.

Key Focus Areas

  • Market Expansion: Identify and fill white spaces with "brownfield" customers while driving innovation to capture "greenfield" opportunities.
  • Advanced AI Workloads: Lead the charge in CV-rich AI workloads, multi-stream high-velocity video, and on-device GenAI / VLM (Vision Language Model) deployments.
  • Performance Optimization: Focus on low-power (20-40W), high-performance edge compute and TCO (Total Cost of Ownership) optimization for enterprise clients.

Qualifications

  • Experience: 12-18+ years of leadership in Edge AI, AI/ML, or partner ecosystem management.
  • Solution Building: A proven track record of building complex, multi-partner solutions (ISV + SI + OEM).
  • Technical Depth: Strong understanding of Edge AI architectures and the semiconductor landscape.
  • Scalability: Demonstrated ability to scale ecosystem-driven GTM models and drive measurable revenue.
  • Leadership: Strong commercial acumen with the ability to lead cross-functional teams and influence external stakeholders.

Success Metrics (12-18 Months)

  • Launch 10-15 production-ready partner solutions.
  • Enable 10+ ISVs and 3-5 GSIs within the ecosystem.
  • Drive measurable pipeline growth and revenue contribution.
  • Reduce enterprise deployment time by 30-40%.

Why This Role Matters

This position is central to Ambarella's evolution. You will enable ecosystem-led revenue scaling and accelerate the global enterprise adoption of Edge AI solutions, directly shaping the future of how AI interacts with the physical world.

The base salary range is $265,000- $300,000. 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.

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