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

Redolent, Inc.

Embedded SW Engineer

Portland, OR · On-site

$139K - $183K/yr

Embedded SW Engineer Work location: Portland, OR Background and Meet and Greet ... MANDATORY " -Supporting new product development of high-performance, high-capacity storage AI ...

Snap, Inc.

Embedded Software/Firmware Engineer

Vancouver, WA · On-site

$107K - $147K/yr

Develop embedded software and firmware for micro-display systems, display chips, and related tools ... Experience using AI-assisted engineering tools such as Claude Code, Cursor, Copilot, or similar ...

Snapchat

Embedded Software/Firmware Engineer

Vancouver, WA · On-site

$107K - $147K/yr

Develop embedded software and firmware for micro-display systems, display chips, and related tools ... Experience using AI-assisted engineering tools such as Claude Code, Cursor, Copilot, or similar ...

Snap, Inc.

Embedded Software/Firmware Engineer

Vancouver, WA · On-site

$107K - $147K/yr

Develop embedded software and firmware for micro-display systems, display chips, and related tools ... Experience using AI-assisted engineering tools such as Claude Code, Cursor, Copilot, or similar ...

Deloitte

AI Security Engineer Manager

Portland, OR · On-site

Hands-On AI Security Engineering Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC ...

Embedded Shishya

AI Context Operations Lead

Portland, OR · On-site

$163 - $203.80/hr

AI Ops builds the systems that keep that organization moving, helping teams move quickly without ... Working closely with Engineering, who own the underlying infrastructure, you'll design the ...

New

Deloitte

Lead Forward Deployed Engineer, Palantir

Portland, OR · On-site

$108K - $143K/yr

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ... Work you'll do As a Lead Palantir FDE, you will serve as the senior practitioner-leader embedded ...

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Showing results 1-20

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 3, 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.

Embedded SW Engineer

Redolent, Inc.

Portland, OR • On-site

$139K - $183K/yr

Contractor

Re-posted 24 days ago

Job description

Role: Embedded SW Engineer
Work location: Portland, OR
Background and Meet and Greet: MANDATORY
Job Description:
"Job Description-Supporting new product development of high-performance, high-capacity storage AI module for use on aircraft. The Engineer will contribute to platform by working at the lowest layers of the infrastructure stack - firmware, BIOS/UEFI, bootloaders, and board support packages (BSP). This work provides the foundation for Linux-based operating systems and higher-level PaaS functionality to run reliably on heterogeneous hardware (x86, ARM, and specialized accelerators)._Key Responsibilities-Support porting/ configuration of GMSL3 drivers, utilities that depend on this protocol
Configuration of linux kernel modules
Familiarity with NVIDIA Jetson family based platforms will be added plus
Performing checks using an evaluation boardCustomize and maintain BIOS/UEFI to support platform requirements.
Provide minimal hardware initialization for Linux kernel boot.
BSP & Board Bring-Up
Develop and integrate Board Support Packages for x86 platforms.
Perform board bring-up, validation, and debugging on evaluation and target hardware.
Port and configure kernel/device-tree for new boards.
Platform Enablement
Support integration of Linux-based operating systems on bare metal.
Ensure compatibility across mixed architectures (ARM, AMD64, accelerators).
Build bring-up and diagnostic tools for testing firmware and hardware readiness.
Collaboration & Documentation
Work with hardware, PaaS, and DevOps teams to align low-level firmware with platform needs.
Document BIOS/bootloader changes, BSP configurations, and bring-up procedures.
Provide training, knowledge transfer, and support for internal teams.
Deliverables
BSPs for supported hardware platforms.
Firmware validation and bring-up test tools.
Documentation of initialization sequences, firmware setup, and deployment.""""_What are the Mandatory skills and skill proficiencies required for this position? -""""Required Skills & Experience
3-Strong knowledge of Linux kernel boot flow and minimal hardware initialization.
5-Experience with BSP development for both x86 architectures.
4-Proficiency in C/C++, embedded systems debugging, and low-level programming.
5-Familiarity with hardware bring-up using JTAG, serial console, and oscilloscopes.
3-Experience with storage devices (eMMC, NVMe, SATA, SD) and root filesystem setup.""""What are the Optional skills and skill proficiencies for this position? -""""Nice to Have
2-Experience with secure boot, TPM, and firmware security practices.
2-Familiarity with cloud/edge IaaS environments.
2-Knowledge of specialized accelerators, heterogeneous compute, or SoC platforms.
2-Exposure to continuous integration for firmware/embedded builds.""
"
Key Responsibilities:
"Support porting/ configuration of GMSL3 drivers, utilities that depend on this protocol
Configuration of linux kernel modules
Familiarity with NVIDIA Jetson family based platforms will be added plus
Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

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