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Edge Computing Jobs in California (NOW HIRING)

Kargo

Software Engineer, Edge

San Francisco, CA

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 ...

Kargo

Software Engineer, Edge

San Francisco, CA · On-site

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 ...

Kargo

Senior Software Engineer, Edge

San Francisco, CA

$144K - $190K/yr

Experience with one or more of the following: computer vision, machine learning or AI, robotics, or edge computing. * Strong debugging, performance optimization, and problem-solving skills. * Degree ...

Kargo

Senior Software Engineer, Edge

San Francisco, CA · On-site

$144K - $190K/yr

Experience with one or more of the following: computer vision, machine learning or AI, robotics, or edge computing. * Strong debugging, performance optimization, and problem-solving skills. * Degree ...

Prophecy Technologies

IoT Developer

Santa Ana, CA · On-site

This role is for an IoT Developer specializing in intelligent edge computing. The position involves hands-on work with IoT devices, including robots, focusing on their configuration, testing, and ...

Karl Storz GmbH & Co. KG

FPGA Engineer IV

Goleta, CA · On-site

$140K - $180K/yr

This role provides technical leadership across FPGA development, embedded processors, GPU and edge computing platforms, and AI-enabled image processing technologies. The engineer partners with cross ...

Karl Storz GmbH & Co. KG

FPGA Engineer IV

Goleta, CA · On-site

$140K - $180K/yr

This role provides technical leadership across FPGA development, embedded processors, GPU and edge computing platforms, and AI-enabled image processing technologies. The engineer partners with cross ...

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How much do edge computing jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for edge computing in California is $25.22, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $29.66 per hour, depending on experience, location, and employer.

What are edge computing jobs?

Edge computing jobs involve designing, deploying, and maintaining computing infrastructure at or near data sources to reduce latency and improve performance. Roles often require knowledge of networking, cloud platforms, and programming languages like Python or C++, with certifications such as Cisco or AWS sometimes preferred.

What are the key skills and qualifications needed to thrive in edge computing?

To excel in Edge Computing, you need a solid background in distributed systems, network engineering, and real-time data processing, typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools and platforms such as Docker, Kubernetes, IoT frameworks, and edge-specific cloud solutions, along with relevant certifications like CompTIA IoT+ or Cisco certifications, is highly advantageous. Strong problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating across technical and business teams. These skills ensure effective design, deployment, and maintenance of decentralized computing solutions that drive innovation and performance in various industries.

What is an edge computing professional?

An Edge Computing job involves designing, deploying, and managing computing resources closer to the data source to reduce latency and improve real-time data processing. Professionals in this field work with distributed computing, networking, and security to ensure efficient and reliable performance of edge devices. Roles often include Edge Engineer, Edge Architect, or IoT Specialist, requiring expertise in cloud-native technologies, AI, and edge infrastructure. These jobs are critical in industries like healthcare, manufacturing, and autonomous systems where low-latency decision-making is essential.

What does an edge computing professional do?

As an Edge Computing professional, your daily tasks often include designing and deploying edge infrastructure, optimizing real-time data processing pipelines, and monitoring system performance to ensure low latency operations. You may coordinate with software developers, hardware engineers, and security specialists to integrate edge devices with cloud services. Troubleshooting network and latency issues, updating firmware, and implementing security protocols are also regular parts of the role. This multidisciplinary environment allows you to see immediate impacts from your work while constantly collaborating with cross-functional teams to solve complex problems.

What are the most commonly searched types of Edge Computing jobs in California? The most popular types of Edge Computing jobs in California are:
What are popular job titles related to Edge Computing jobs in California? For Edge Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Edge Computing jobs in California look for? The top searched job categories for Edge Computing jobs in California are:
Edge Computing jobs near you
Infographic showing various Edge Computing job openings in California as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $52,458 per year, or $25.2 per hour.

Software Engineer III - Edge Computing

Voyager Technologies

Folsom, CA • On-site

$61.50 - $82.50/hr

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Voyager Technologies is an innovative defense, national security, and space technology company committed to delivering transformative solutions. The Senior Edge Computing Engineer is responsible for the core performance of fielded systems, utilizing advanced GPGPU techniques to process high-velocity data streams in real-time while working with diverse hardware targets.
Responsibilities:
• Design and implement high-throughput processing pipelines using Modern C++ and GPU-accelerated frameworks (e.g., CUDA, Holoscan, ROCm).
• Write and optimize custom GPU kernels for signal processing operations, managing memory coalescing and host-to-device data transfers to minimize latency.
• Profile full-stack software performance to identify CPU/GPU bottlenecks, optimizing memory usage and PCIe bandwidth utilization.
• Design software interfaces that abstract specific hardware peripherals, ensuring our GPU-based algorithms can run on a variety of radio and sensor platforms.
• Manage the build and deployment pipelines for embedded Linux operating systems, ensuring fielded systems correctly expose accelerator resources to containerized applications.
Qualifications:
Required:
• Bachelor’s Degree in Computer Science or Engineering from an accredited college/university from an accredited college/university.
• U.S. Citizenship required due to program security requirements
• Ability to obtain and maintain a DoD clearance; active clearance preferred
• Proven ability to lead engineering teams in a structured software product development environment
• Strong organizational and technical communication skills, including presenting to internal and government stakeholders
• Four (4) year to seven (7) years of software engineering design experience
• Proven experience leading software engineering teams through full development lifecycle
• Expert proficiency in Modern C++.
• Willingness to work with or learn Rust for safety-critical components.
• Proven experience with CUDA or similar parallel computing standards.
• Ability to reason about heterogeneous memory architectures (Unified Memory, Zero-Copy).
• Solid experience with Linux system administration, container orchestration (Kubernetes/Docker), and networking configuration.
• Experience designing decoupled, modular software components using standard protocols (e.g., gRPC, Protobuf).
Preferred:
• Current DoD Top Secret SCI Security Clearance
• Master’s Degree in Computer Science or Engineering from an accredited college/university.
• Background in Digital Signal Processing (DSP) or RF systems
• Experience with kernal-bypass networking (DPDK, RDMA) or GPUDirect technologies
Company:
Voyager Technologies is a defense and space technology company that develops solutions for national security and commercial space missions. Founded in 2019, the company is headquartered in Denver, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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