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Edge Computing Jobs in Portland, OR (NOW HIRING)

Logic Engineer

Portland, OR ยท On-site

$118K - $177K/yr

As a pioneer of energy efficient high-performance computing, Ampere is part of the SoftBank Group of companies driving sustainable computing for AI, Cloud, and edge applications. Join us at Ampere ...

ITOT Infrastructure Engineer

Hillsboro, OR ยท 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 ...

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 ...

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Edge Computing information

See Portland, OR salary details

$13

$27

$41

How much do edge computing jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for edge computing in Portland, OR is $27.10, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $31.88 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Edge computing jobs such as network engineers, cybersecurity specialists, and systems architects are likely to persist as they require complex problem-solving, infrastructure management, and security expertise that are difficult for AI to fully automate. These roles involve designing, maintaining, and securing distributed systems, often requiring certifications and hands-on experience. Skills in cloud platforms, programming, and real-time data analysis will remain valuable in this field.

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 processing needs expand and latency requirements grow, job opportunities in this area are expected to increase steadily in the coming years.

Does Tesla use edge computing?

Tesla employs edge computing in its vehicles to process data locally for features like Autopilot and real-time diagnostics, reducing reliance on cloud servers. This approach enhances response times and system reliability, which are critical for autonomous driving and vehicle safety systems.

What is the highest paying computing job?

In the field of edge computing, senior roles such as solutions architect, cloud engineer, or systems architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in distributed systems, networking, and cloud platforms, along with relevant certifications like AWS or Cisco. Salary levels depend on experience, location, and company size.

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 Portland, OR? For Edge Computing jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Edge Computing jobs in Portland, OR look for? The top searched job categories for Edge Computing jobs in Portland, OR are:

Senior Software Engineer, Connected Devices

Rapta, Inc

Portland, OR โ€ข On-site

$140K - $175K/yr

Full-time

Re-posted 28 days ago


Job description

Senior Software Engineer - Connected Devices

Full-Time Position | Portland, Oregon

About Us

Rapta is revolutionizing precision US manufacturing with an agentic native AI Platform trusted by the nation's top defense primes. Backed by top investors and growing 521% year-over-year, we're a Portland-based team building computer vision and robotics technology that keeps America's most critical production lines running flawlessly. If you want to do meaningful work at the intersection of AI and advanced manufacturing, we'd love to meet you.

Position Overview

We're looking for a Senior Software Engineer who writes production software for hardware. You'll own the software layer that connects Rapta's AI platform to the physical world - industrial cameras, smart tools, motion stages, and edge GPUs deployed on real factory floors. This is a software engineering role first; the differentiator is that you're fluent in the protocols, timing constraints, and failure modes of industrial hardware, and you write clean, testable code that talks to it reliably.

You'll work directly with the CTO and partner closely with our Feature Engineering and Platform teams to build the hardware abstraction layer that the rest of the product depends on.

What You'll Do

  • Design and build the software interfaces between Rapta's AI platform and industrial hardware - cameras, smart wrenches, motion stages, and edge compute
  • Implement and maintain device drivers and integration libraries for industrial protocols: Modbus TCP, Open Protocol, OPC-UA, GigE Vision, USB3 Vision, RS-232/485, CAN
  • Define clean, versioned hardware abstraction APIs (gRPC/protobuf, contract-first) that decouple application code from device specifics
  • Own peripheral integration end-to-end: vendor SDK evaluation, driver implementation, error handling, observability, and field debugging
  • Write the software that brings up new hardware in the lab and qualifies it for deployment - calibration routines, self-test, diagnostics, telemetry
  • Build and maintain hardware-in-the-loop test infrastructure so device integrations have real test coverage
  • Debug across the full stack when things go wrong on a customer floor - from Python application code through gRPC, through the protocol layer, down to a misbehaving device

What We're Looking For

  • 10+ years writing production software, with significant time spent on systems that talk to hardware
  • Strong software engineering fundamentals: you write clean, tested, maintainable code and care about API design
  • Deep familiarity with at least two or three major industrial protocols and significant experience with real time protocol analyzers and debugging from first principals
  • Comfortable in a factory, a lab, and a terminal - often in the same day
  • Pragmatic about the line between "what the hardware can do" and "what the software should expose"

Required Technical Skills

  • Expert-level Python; strong fluency in at least one of C#, C++ or Go, for performance-critical or driver-adjacent work
  • Hands-on experience implementing Modbus TCP/RTU clients and servers in production code
  • Experience integrating industrial smart tools via protocols like Open Protocol (Atlas Copco/Desoutter), Kolver, or equivalent vendor protocols
  • Working knowledge of OPC-UA, GigE Vision, USB3 Vision, RS-232/485, and CAN - you don't need all of them, but you should have shipped code against several
  • Experience with industrial camera SDKs (Basler/pypylon, FLIR Spinnaker, GenICam, or similar) including AOI/ROI, triggering, and lens control
  • Strong Linux fundamentals - udev rules, systemd services, kernel module basics, USB and network device debugging
  • gRPC/protobuf or equivalent contract-first API design experience
  • Infrastructure-as-code fluency: Ansible or equivalent for repeatable provisioning of hardware-attached systems
  • Comfort writing integration tests, hardware-in-the-loop tests, and diagnostic tooling

Highly Competitive Candidates Will Also Bring

  • Experience deploying software in DOD, defense industrial base, or CMMC-regulated environments
  • Familiarity with edge computing constraints - air-gapped networks, deterministic startup, thermal and power limits
  • Bazel monorepo experience
  • Familiarity with manufacturing quality standards (ISO, Six Sigma, IPC)

Why Join Us?

  • Foundational role building the hardware integration layer at a high-growth AI company
  • Meaningful early-stage equity at a late seed-stage company
  • Competitive compensation and benefits package

Location Requirements

This position requires full time, 5 days per week in-office presence at our Portland headquarters. Candidates must be local to the Portland, Oregon metro area or willing to relocate at their expense prior to start. Remote-only applicants need not apply.

Employment Type: FULL_TIME