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Embedded Ai Engineer Jobs in Portland, OR (NOW HIRING)

E-Solutions, Inc.

QNX Android Developer

Portland, OR · On-site

$59 - $77.75/hr

Design and implement platform services, middleware, and embedded applications using C/C ... Support adoption of AI-assisted software development practices. * Mandatory Skills * Strong C/C ...

Workcog Inc

Senior QNX Android Developer

Hillsboro, OR · On-site

$63.25 - $80/hr

We are looking for an experienced QNX/Android Software Developer with strong expertise in Embedded ... Support adoption of AI-assisted software development practices. Mandatory Skills: * Strong C/C ...

Photon Kinetics, Inc

Sr. Electrical Engineer

Beaverton, OR · On-site

$120 - $150/hr

... AI technologies. ROLE OVERVIEW The Senior Electrical Engineer is a core member of the Product ... You will also contribute to microcontroller firmware for bare‑metal and embedded systems. This ...

Select Jarvis.com

Senior QNX Android Developer

Hillsboro, OR · On-site

$63.25 - $80/hr

Design and implement platform services, middleware, and embedded applications using C/C++. Develop ... Support adoption of AI-assisted software development practices. Mandatory Skills Strong C/C ...

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR

$141K - $191K/yr

Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic ... Experience with embedded or real-time Linux, device-driver / platform bring-up, or other low-level ...

Amazon

Software Development Engineer, Kiro

Portland, OR · On-site

This isn't just another AI tool; it's a fundamental shift in how software gets built and maintained ... embedded or distributed software applications, tools, systems, and services using: C#, C++, Java ...

Nvidia

Senior Verification Engineer, SoC

Hillsboro, OR · Hybrid

... AI-enabled SoCs. These SoCs power self-driving cars, gaming consoles, and automated machines ... Experience with verification of SoCs with embedded processors or CPU verification. #LI-Hybrid Your ...

Nvidia

Senior Verification Engineer, SoC

Hillsboro, OR · Hybrid

... AI-enabled SoCs. These SoCs power self-driving cars, gaming consoles, and automated machines ... Experience with verification of SoCs with embedded processors or CPU verification. #LI-Hybrid Your ...

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Showing results 21-40

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Portland, OR

Embedded Ai Engineer information

See Portland, OR salary details

$74.1K

$162.4K

$184.2K

How much do embedded ai engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for embedded ai engineer in Portland, OR is $162,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,200.00 and $183,200.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What are the key skills and qualifications needed to thrive as an embedded AI engineer?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in Portland, OR?

For Embedded Ai Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Portland, OR look for?

The top searched job categories for Embedded Ai Engineer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Embedded Ai Engineer jobs?

Cities near Portland, OR with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $162,392 per year, or $78.1 per hour.

Senior QNX Android Developer

Scepter Technologies, Inc

Hillsboro, OR • On-site

$140K/yr

Other

Posted 7 days ago

Job description

Senior QNX Android Developer

Hillsboro, OR, US

Salary:$60/Hr on Scepter W2 Or $140K/Year fultime with L&T TS

Must have skills- C++, Qualcomm Snapdragon 8295, QNX Hypervisor, Android Platform Development, Embedded Linux, Docker and CI/CD integration

Job Description & Skill Requirement:

Job Summary

We are looking for an experienced QNX/Android Software Developer with strong expertise in Embedded C++ development, QNX/Linux platform development, and Android Automotive systems. The candidate will be responsible for developing, integrating, and maintaining platform software, middleware, device drivers, and multimedia applications on Qualcomm-based embedded systems.

Key Responsibilities

  • Develop and maintain software for QNX, Linux, and Android platforms.
  • Design and implement platform services, middleware, and embedded applications using C/C++.
  • Develop and integrate Linux device drivers and hardware interfaces.
  • Work on Qualcomm Snapdragon-based platforms, including platform bring-up and integration.
  • Develop Android native and framework-level components.
  • Support multimedia application and platform development.
  • Perform debugging, performance optimization, and issue resolution across software and hardware layers.
  • Collaborate with DevOps, automation, and validation teams for CI/CD integration.
  • Use Docker and virtualized environments for development and testing.
  • Participate in design reviews, code reviews, and release activities.
  • Support adoption of AI-assisted software development practices.
  • Mandatory Skills
  • Strong C/C++ programming experience
  • QNX Platform Development
  • Linux Platform Development
  • Android/Android Automotive Development
  • Qualcomm Snapdragon Platform Experience (8295 preferred)
  • QNX Hypervisor
  • Linux Device Driver Development (LDD)
  • Device Driver Development
  • Linux Internals
  • Multimedia Development
  • Virtualization Technologies
  • Cross-Platform Software Development
  • Hardware Interfaces: SPI, I2C, UART, GPIO
  • Bootloader and Secure Boot
  • Power Management
  • GDB, QNX Momentics, ADB, Logcat
  • Git, GitLab, Docker
  • CI/CD Integration
  • Preferred Skills
  • CTS/VTS execution and debugging
  • Python scripting
  • Test automation integration
  • AI-assisted software development tools
  • Agile/Scrum, Jira, Confluence
  • Automotive, Airline, Transportation, or Infotainment domain experience

Education

  • Bachelor's or Master's degree in Computer Science, Electronics, Embedded Systems, or related discipline.

Keywords

  • C++, QNX, Android Automotive, Embedded Linux, Qualcomm Snapdragon 8295, QNX Hypervisor, Linux Device Driver, Multimedia, Device Drivers, CTS, VTS, SPI, I2C, UART, GPIO, Docker, GitLab, CI/CD, Secure Boot, Bootloader, Platform Development.

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