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Edge Computing Jobs in Oregon (NOW HIRING)

Nvidia

OR · On-site

Edge computing concepts Ways to stand out from the crowd: * Experience in gaming, streaming, or real-time media infrastructure * Familiarity with game streaming protocols and encoding pipelines ...

Logistics Management Institute

Experience with sensor fusion, edge computing, or embedded systems integration. * Knowledge of low-power communication protocols (LoRa, Zigbee, NB-IoT, LTE-M). * Familiarity with DoD or other secure ...

Nvidia

OR · On-site

Experience with Physical AI platforms including NVIDIA Omniverse, Isaac Sim, Jetson edge computing, or involvement in production robotics/autonomous systems implementations. * Active participation in ...

Genentech

ITOT Infrastructure Engineer

Hillsboro, OR · On-site

$117K - $153K/yr

... Edge Computing and IIoT gateways to facilitate real-time data flow to the OSI PI Historian and cloud-based analytics. • Partner with the Cyber Security Engineer to implement Zero Trust ...

Genentech

ITOT Infrastructure Engineer

Hillsboro, OR · On-site

$95K - $176K/yr

Support the integration of Edge Computing and IIoT gateways to facilitate real-time data flow to the OSI PI Historian and cloud-based analytics. * Partner with the Cyber Security Engineer to ...

Autodesk

OR · On-site

We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening ...

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How much do edge computing jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for edge computing in Oregon is $27.02, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $31.78 per hour, depending on experience, location, and employer.

Does edge computing have a future?

Edge computing is a growing field with increasing adoption across industries such as manufacturing, healthcare, and IoT, creating demand for professionals skilled in network architecture, security, and cloud integration. As data volume and latency requirements grow, the need for edge computing expertise is expected to expand, making it a promising career path for those with relevant technical skills and certifications. Job roles often involve working with distributed systems, real-time data processing, and hardware integration.

What are the key skills and qualifications needed to thrive in the Edge Computing position, and why are they important?

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 job?

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 are typical daily responsibilities of an Edge Computing professional?

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 popular job titles related to Edge Computing jobs in Oregon? For Edge Computing jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Edge Computing jobs in Oregon look for? The top searched job categories for Edge Computing jobs in Oregon are:
What cities in Oregon are hiring for Edge Computing jobs? Cities in Oregon with the most Edge Computing job openings:
Edge Computing jobs near you

Azure Solution Architect - Industrial IoT

Applied Information Sciences

OR • Remote

$63.50 - $82.75/hr

Full-time

Posted 22 days ago

Job description

Why AIS?

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Solution Architect. As your initial project assignment, you will support the unique needs of our client as a Azure Solution Architect - Industrial IoT.

Position Summary
We are seeking an experiencedAzure Solution Architect - Industrial IoTto lead the design and deployment of secure, scalable, and reliable Industrial Internet of Things (IIoT) solutions in Microsoft Azure. This roleis responsible fortranslating operational technology (OT) and business requirements into end-to-end cloud and edge architectures that enable industrial connectivity, telemetry ingestion, device management, analytics, and operational insights. The ideal candidate brings deepexpertisein Azure services, industrial protocols, edge computing, cybersecurity, and systems integration across manufacturing, utilities, energy, or other industrial environments.

Key Responsibilities

  • Lead the architecture, design, and technical governance of Azure-based industrial IoT and edge solutions.

  • Defineend-to-endIIoTreference architectures spanning sensors, PLCs, SCADA/DCS systems, industrial gateways, edgecompute, cloud ingestion, storage, analytics, and visualization.

  • Design solutions using Azure services such asAzure IoT Operations, Azure IoT Hub, Azure Event Hubs, Azure Data Explorer, Azure Functions, Azure Stream Analytics, Azure Kubernetes Service, Azure Arc, Azure Monitor, Microsoft Defender for IoT, and Azure Digital Twinsasappropriate.

  • Architect secure and resilient connectivity patterns between plant-floor assets and Azure, including edge-to-cloud messaging, store-and-forward, intermittent connectivity handling, and remote site deployment models.

  • Develop strategies for ingesting and normalizing data from industrial protocols and systems such asOPC UA, Modbus, MQTT, BACnet, DNP3, and proprietary OEM interfaces.

  • Collaborate with OT engineers, plant operations, cybersecurity teams, infrastructure teams, and software developers to ensure solutions align with operational requirements and safety constraints.

  • Define device onboarding, identity, certificate management, lifecycle management, patching, and remote operations models for field and plant devices.

  • Design data architectures that support real-time monitoring, historian integration, predictive maintenance, condition monitoring, asset performance management, and advanced analytics use cases.

  • Ensure architectures incorporate security-by-design principles, including zero trust, network segmentation, role-based access control,secretsmanagement, device hardening, and regulatory compliance.

  • Produce architecture artifacts including solution diagrams, interface definitions, security models, deployment patterns, migration plans, andimplementationroadmaps.

  • Provide technical leadership during pilots, proof-of-concepts, and production deployments, including design reviews, troubleshooting, and performance optimization.

  • Establish non-functional requirements for availability, scalability, latency, resiliency, observability, and disaster recovery.

  • Support cost modeling, environment sizing, and cloud consumption planning forIIoTworkloads.

  • Mentor engineering teams and provide architectural oversight across implementation and operational handoff.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.

  • 8+ years of experience in solution architecture, cloud engineering, or enterprise systems integration.

  • 3+ years of experience designing or deployingindustrial IoT / OT-integrated solutionsin manufacturing, energy, utilities, transportation, mining, or similar industrial sectors.

  • Strong hands-on knowledge of Microsoft Azure architecture and services relevant to IoT, data, integration, security, and hybrid infrastructure.

  • Experience integrating cloud platforms with industrial environments, including PLCs, SCADA, MES, historians, industrial gateways, or plant-floor networks.

  • Understanding ofindustrial communications standards and protocols such asOPC UA, MQTT, and Modbus.

  • Experience with edge computing platforms, containerized workloads, and remote site deployment patterns.

  • Knowledge of OT and IoT cybersecurity principles, including asset visibility, network boundaries, device identity, certificate-based authentication, secure remote access, and threat monitoring.

  • Experience with infrastructure as code and automation using tools such asBicep, ARM, Terraform, PowerShell, or Azure DevOps/GitHub Actions.

  • Strong communicationskills with the ability to engage both executive stakeholdersand deeplytechnical engineering teams.

Preferred Qualifications

  • Microsoft Azure certifications such asAzure Solutions Architect Expert,Azure Administrator,Azure Security Engineer, or IoT-related certifications.

  • Experience withAzure Arc-enabled Kubernetes, industrial edge gateways, or disconnected/low-connectivity operating environments.

  • Experience with historian platforms, time-series analytics, and digital twin modeling.

  • Familiarity with industrial cybersecurity standards and frameworks such asISA/IEC 62443, NIST CSF, NERC CIP, or sector-specific controls.

  • Experience designing solutions for regulated or high-assurance environments.

  • Knowledge of data engineering and visualization platforms such asPower BI, Synapse, Fabric, or third-party industrial analytics tools.

  • Background in application integration, API design, event-drivenarchitectures, and enterprise integration patterns.

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $0-$0 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

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