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Edge Jobs in California (NOW HIRING)

Kargo

Software Engineer, Edge

San Francisco, CA

Develop high-performance C++ software for machine vision and AI systems running on edge devices. * Build and improve computer vision features using 3D perception and AI technologies. * Help develop ...

Kargo

Software Engineer, Edge

San Francisco, CA · On-site

Develop high-performance C++ software for machine vision and AI systems running on edge devices. * Build and improve computer vision features using 3D perception and AI technologies. * Help develop ...

Meta

Edge Delivery Manager

Menlo Park, CA

$135K/yr

The Edge Production Infra & Connectivity team supports all connectivity for the Meta product family, including Facebook, Instagram, WhatsApp, Oculus, and all future AI endeavors. We are a global team ...

VBeyond Corporation

Network Edge Project Manager

Menlo Park, CA · On-site

$54.25 - $69.25/hr

Network Edge Project Manager - New Commodity & NPI Ramp Support Location: Menlo Park, CA (Onsite) Role Summary We are seeking a Network Edge Project Manager to provide New Commodity and NPI ramp ...

New

Kargo

Senior Software Engineer, Edge

San Francisco, CA

$144K - $190K/yr

Build high-performance C++ systems for machine vision and AI on edge devices, processing gigabytes of data per second. * Develop advanced perception systems using 3D computer vision. * Build agentic ...

Kargo

Senior Software Engineer, Edge

San Francisco, CA · On-site

$144K - $190K/yr

Build high-performance C++ systems for machine vision and AI on edge devices, processing gigabytes of data per second. * Develop advanced perception systems using 3D computer vision. * Build agentic ...

Pinterest

Staff Software Engineer, Edge

San Francisco, CA · On-site

$364K/yr

The Edge team owns the systems (including CDN, TLS, DNS, ingress/egress proxy fleet, and rate limiting) that connect 600M+ users to Pinterest. We're looking for a Staff Software Engineer to lead our ...

Greystar

Leasing Professional - Edge

Anaheim, CA

$17.75 - $21/hr

Leasing Professional - Edge Full time Anaheim, California Apply Now Save Job Job saved ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate platform offering expertise in ...

Sonatus

Staff AI Engineer, Edge AI

Sunnyvale, CA · Hybrid

We are looking for a great Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build ...

Sonatus

Staff AI Engineer, Edge AI

Mountain View, CA · Hybrid

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 ...

Sonatus

Staff AI Engineer, Edge AI

Sunnyvale, CA · On-site

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 ...

Sonatus

Staff AI Engineer, Edge AI

San Francisco, CA · Hybrid

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 ...

Sonatus

Staff AI Engineer, Edge AI

San Jose, CA · Hybrid

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 ...

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How much do edge jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for edge in California is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $13.27 and $23.70 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in edge computing roles, and how can they be addressed?

Professionals in edge computing roles often face challenges such as ensuring seamless data processing across distributed devices, maintaining network reliability, and implementing robust security measures for decentralized systems. Additionally, collaborating effectively with cross-functional teams—including IoT engineers, cloud architects, and cybersecurity experts—is vital to address integration and performance issues. Staying updated on evolving edge technologies and industry best practices can help professionals navigate these challenges and deliver efficient, secure solutions.

What are the key skills and qualifications needed to thrive as an Edge Computing Engineer, and why are they important?

To thrive as an Edge Computing Engineer, you need expertise in distributed systems, networking, cloud/edge infrastructure, and a relevant degree in computer science or engineering. Familiarity with containerization tools (like Docker and Kubernetes), IoT platforms, and edge-specific frameworks such as Azure IoT Edge or AWS Greengrass is typically required. Strong problem-solving skills, adaptability, and effective communication help drive innovation and cross-functional collaboration. These skills are crucial for building reliable, scalable edge solutions that process data efficiently and securely at the network's edge.

What are edge computing jobs?

Edge computing jobs involve developing, deploying, and maintaining technology that processes data closer to where it is generated, rather than relying on centralized data centers or cloud computing. Professionals in this field work on optimizing network performance, building edge devices, ensuring data security, and enabling real-time analytics for industries like manufacturing, healthcare, and telecommunications. Typical roles include edge software engineers, network architects, and IoT specialists. These jobs require knowledge of distributed systems, networking, and often experience with hardware integration.

What is the difference between Edge vs Network Technician?

AspectEdgeNetwork Technician
Required CertificationsCompTIA Network+, Cisco CCNACompTIA Network+, Cisco CCNA
Work EnvironmentEdge computing sites, data centers, remote locationsOffice settings, data centers, client sites
Industry UsageIT, telecommunications, cloud servicesIT, telecommunications, networking companies
Common Search/ComparisonEdge vs Network Technician

The main difference between Edge and Network Technician roles lies in their focus areas. Edge professionals specialize in deploying and managing edge computing devices and infrastructure at remote or distributed locations, often requiring knowledge of edge-specific hardware and security. Network Technicians primarily focus on maintaining and troubleshooting network infrastructure within organizations or data centers. While both roles require similar certifications and work in related environments, Edge roles emphasize distributed computing environments, whereas Network Technicians concentrate on core network systems.

What are the most commonly searched types of Edge jobs in California? The most popular types of Edge jobs in California are:
What are popular job titles related to Edge jobs in California? For Edge jobs in California, the most frequently searched job titles are:
What job categories do people searching Edge jobs in California look for? The top searched job categories for Edge jobs in California are:
What cities in California are hiring for Edge jobs? Cities in California with the most Edge job openings:
Edge jobs near you
Infographic showing various Edge job openings in California as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $41,664 per year, or $20 per hour.
Software Engineer, Edge

Software Engineer, Edge

Kargo

San Francisco, CA

Other

Posted 6 days ago

Job description

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics.  Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time.

We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow's hardware & software solutions and help revolutionize logistics.

Responsibilities

  • Develop high-performance C++ software for machine vision and AI systems running on edge devices.
  • Build and improve computer vision features using 3D perception and AI technologies.
  • Help develop agentic AI systems to deploy, monitor, and manage a growing fleet of edge devices.
  • Collaborate with senior engineers to improve the reliability, performance, and scalability of our edge platform.
  • Troubleshoot, test, and optimize software running in real-world environments.

Experience

  • 1 to 2 years of professional, internship, or research experience in software engineering.
  • Strong programming skills in C++ and python.
  • Familiarity with Linux development environments.
  • Experience through coursework, projects, internships, or research in one or more of the following: computer vision, machine learning or AI, robotics, or edge computing.
  • Strong problem-solving skills and eagerness to learn new technologies.
  • Degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field.

Apply