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Edge Ai Jobs (NOW HIRING)

Source, Inc.

Lead Edge AI Engineer

San Francisco, CA

$120K - $159K/yr

Our edge-first data management stack makes it possible to build a new generation of AI that is: * Edge-first and privacy-preserving -- data is processed, verified, and shared directly at the edge.

Codvo.ai

Edge AI Product Owner - Medical Devices & AI Experience Level: 5-8 Years Department: Product, Data and AI Engineering About the Role: We are seeking a visionary and technically adept Edge AI Product ...

Codvo.ai

$203K/yr

Edge AI Architect - CUDA / C++ / Computer Vision Experience Level: 10+ Years Department: Edge AI & Embedded Systems About the Role: We are looking for a highly motivated and technically proficient ...

Rite-Hite

Systems Architect - Edge AI/ML

Concord, NC · Hybrid

$226K/yr

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures ...

Arcfield

Lead Edge AI/ML Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

Lead Edge AI / Machine Learning Engineer Strategic Technology Consulting (STC), an Arcfield Company, is seeking a Lead Edge AI / Machine Learning Engineer to lead the design, optimization, and ...

Rite-Hite

Systems Architect - Edge AI/ML

Milwaukee, WI · On-site

$238K/yr

They are seeking a Systems Architect, Edge AI/ML to define and guide the architecture for AI and machine learning solutions deployed on edge platforms, ensuring scalability, reliability, and security.

Ambarella

$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 ...

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 ...

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How much do edge ai jobs pay per hour?

As of Jun 10, 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.

More about Edge Ai jobs
What cities are hiring for Edge Ai jobs? Cities with the most Edge Ai job openings:
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Edge Ai jobs near you
Infographic showing various Edge Ai job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $42,216 per year, or $20.3 per hour.
Lead Edge AI Engineer

Lead Edge AI Engineer

Source, Inc.

San Francisco, CA

$120K - $159K/yr

Other

Posted 4 days ago

Job description

Why We Are Hiring This Role

At Source, we're building the foundational data infrastructure for an edge-first world — a world where intelligence lives not in distant clouds but across billions of devices, vehicles, robots, and satellites.

AI is breaking free from the data center. The future of intelligence depends on compute that happens where data is created — instantly, privately, and verifiably. Yet today, the edge is fragmented. Developers are forced to trade off between performance and convenience, privacy and usability, autonomy and control.

We're changing that.

Source is redefining how data is managed, shared, and computed across distributed environments — enabling AI systems to train, adapt, and collaborate directly at the edge. Our edge-first data management stack makes it possible to build a new generation of AI that is:

  • Edge-first and privacy-preserving — data is processed, verified, and shared directly at the edge.
  • Verifiable and trustworthy — every interaction can be proven, not just assumed.
  • Collaborative by design — intelligence that learns across devices and environments without centralized control.

The result: AI that's faster, safer, and more resilient — the foundation of truly distributed intelligence.

Why This Role Matters

As Lead Edge AI Engineer, you will own Source's edge-AI engineering roadmap and make developing at the edge as natural and powerful as building in the cloud.

You'll design the systems that let developers deploy, orchestrate, and verify AI models across edge environments — from federated learning and on-device inference to adaptive compute pipelines running on heterogeneous hardware.

This role sits at the intersection of distributed systems, AI infrastructure, and edge computing — bringing together model execution, verifiable computation, and developer experience. You'll help define the standards for how AI operates in decentralized, privacy-preserving networks.

Working closely with our research, product, and infrastructure teams, you'll directly impact the company's technical trajectory and define what edge-first AI looks like in practice.

Responsibilities
  • Architect and prototype edge-AI pipelines — enabling local training, inference, and cross-device collaboration.
  • Build developer-friendly APIs and SDKs that abstract distributed complexity into elegant, efficient experiences.
  • Optimize performance across constrained and diverse hardware — GPUs, NPUs, and embedded accelerators.
  • Integrate edge-first data flows with privacy-preserving and verifiable computation frameworks.
  • Collaborate with product, research, and infrastructure teams to shape the developer experience for edge-native AI.
  • Mentor engineers and help shape Source's engineering culture around precision, performance, and trust.
Requirements for the Role
  • Deep experience in AI/ML systems and model deployment in real-world edge environments.
  • Strong proficiency in Rust, Go, C++, or Python.
  • Familiarity with distributed systems, federated learning, or privacy-preserving AI.
  • Understanding of edge compute hardware and runtime constraints.
  • Previous experience in a startup or scale-up environment.
  • Track record of delivering complex distributed or AI systems end-to-end.
  • Curiosity for verifiable computing, zero-trust architectures, and data-centric AI design.
  • A first-principles mindset — you care about building foundational systems that will last decades.
Why Join Source

This is a rare opportunity to build the foundation for edge-native AI at one of the most innovative companies in distributed computing.

As Lead Edge AI Engineer, you'll help shape how intelligence operates across billions of edge devices — from chips to constellations. You'll join a small, world-class team defining the next generation of verifiable, decentralized AI infrastructure.

At Source, you'll work on deep infrastructure that makes edge-first intelligence possible — systems that bring verifiability, privacy, and autonomy to the next wave of AI. If you've ever wanted to build the data layer that will unlock the edge-first future of AI, this is that moment.

Apply