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Embedded Ai Jobs in Oregon (NOW HIRING)

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR · On-site

$141K - $191K/yr

Help define the next wave of AI technology that harnesses the proven advantages of Intel ... Experience with embedded or real-time Linux, device-driver / platform bring-up, or other low-level ...

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

We actively monitor for synthetic profiles, proxy networks, and AI interview assistants; any ... Experience optimizing models for memory and CPU constrained systems (e.g., embedded systems ...

Zencoder

Senior Manager, Marketing & GTM (AI-First)

OR · On-site +1

$130K - $200K/yr

You'll be joining an AI-first organization where AI is embedded across product development, operations, GTM, and decision-making. We expect you to bring new ideas, frameworks, workflows, and systems ...

Nvidia

Senior Solutions Architect, AI Compute - NPN

OR · On-site +1

... time embedded with customer and partner technical teams. You will move fluidly between field ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Nvidia

Principal Software Engineer, AI Networking

OR · On-site +1

$134K - $180K/yr

Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era ... Serve as the principal-level technical authority for embedded networking products like BlueField ...

SentinelOne

Distinguished Architect

OR · On-site +1

... AI, and Security, and all related delivery functions. You will set the standards, forums, and tools that enable embedded delivery teams to design consistent, high-quality solutions without ...

Skyworks

$22.50 - $42/hr

You will be working with our AI group to help research and develop cutting-edge speech and signal ... Programming in Python and C/C++ (preferably experience with embedded programming) * Knowledge of ...

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All JobsEmbedded Ai JobsEmbedded Ai Jobs in Oregon

Embedded Ai information

See Oregon salary details

$74K

$162.2K

$184K

How much do embedded ai jobs pay per year?

As of Sep 6, 2026, the average yearly pay for embedded ai in Oregon is $162,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,000.00 and $182,900.00 per year, depending on experience, location, and employer.

What is an embedded AI?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

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

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What are some common challenges faced by embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.

What are the most commonly searched types of Embedded Ai jobs in Oregon?

The most popular types of Embedded Ai jobs in Oregon are:

What are popular job titles related to Embedded Ai jobs in Oregon?

For Embedded Ai jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Embedded Ai jobs in Oregon look for?

The top searched job categories for Embedded Ai jobs in Oregon are:

Embedded Ai jobs near you
Infographic showing various Embedded Ai job openings in Oregon as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $162,170 per year, or $78 per hour.

Senior QNX Android Developer

Scepter Technologies, Inc

Hillsboro, OR • On-site

$140K/yr

Other

Posted 9 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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