1

Embedded Ai Engineer Jobs in Oregon (NOW HIRING)

Embedded AI Expert

OR ยท On-site +1

$131K - $172K/yr

Cresta is seeking a Embedded AI Expert to join our team and work closely with our customers in a tactical execution role. As an Embedded AI Expert, you will be responsible for configuring and ...

Senior Front-End Agentic AI Engineer

OR ยท On-site +1

$122K - $168K/yr

Our platform enables engineers to ask questions in plain English and receive explainable ... Build and maintain conversational interfaces, embedded AI assistants, review workflows, and ...

AI Engineer, Sr

Newberg, OR ยท On-site

$109K - $150K/yr

The AI Engineer, Sr will play a crucial role in developing and implementing applied artificial ... AI is embedded into business processes โ€ข Familiarity with emerging AI regulations and ...

As a Forward Deployed AI Engineer, you will work directly alongside customers to understand how ... You love working directly with customers and becoming deeply embedded in their business * You're ...

This is a hybrid role that blends traditional value engineering with the hands-on, embedded delivery model of a forward deployed AI engineer. You will help customers understand, quantify, and realize ...

Embedded SW Engineer

Portland, OR ยท 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 ...

... workflow-embedded AI. * Lead Pacvue's agentic AI strategy across customer workflows, internal ... Partner with Product, Engineering, and AI/DS leaders to turn models and AI capabilities into ...

Staff AI Engineer, Perception

Salem, OR ยท On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and ... Optimize deep neural networks and associated data processing to run efficiently on embedded systems

Senior Product Manager - Growth & Engagement

OR ยท On-site +1

$126K - $166K/yr

Design and ship embedded AI features as core parts of the product experience - like AI-powered ... You communicate clearly, in writing and in person, working cross-functionally with engineers ...

Senior AI Platform Engineer

OR ยท On-site +1

$104K - $143K/yr

AI: Placer.ai is transforming how organizations understand the physical world. Our location ... workflows embedded across the business. This is a hybrid role: part platform engineer, part ...

$111K - $150K/yr

Overview Senior Software Engineer (AI) is a hands-on role responsible for building intelligent ... embedded decision support * Develop microservices and event-driven architectures supporting ...

As a Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of ... Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless ...

What you'll do As a Lead AI Solutions Delivery Engineer, you will be on the front lines, embedded directly with strategic enterprise customers to solve complex business problems using Docusign ...

About the Role The Forward Deployed AI Product Engineer is a customer-embedded, full-stack engineer who builds AI-native applications and agents that solve high-value business problems on top of the ...

Senior Staff AI Platform Engineer

OR ยท On-site +1

$104K - $143K/yr

As a Senior Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of ... Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless ...

Partnering with engineering, UX, and cross-functional teams, you will deliver solutions that create ... Prior involvement in launching products featuring embedded AI capabilities. Competencies

next page

Showing results 1-20

Embedded Ai Engineer information

See Oregon salary details

$74K

$162.2K

$184K

How much do embedded ai engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded ai engineer 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 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 Oregon?

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

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

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

What cities in Oregon are hiring for Embedded Ai Engineer jobs?

Cities in Oregon with the most Embedded Ai Engineer job openings:

Infographic showing various Embedded Ai Engineer job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% 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.

Embedded AI Expert

Cresta

OR โ€ข On-site, Remote

$131K - $172K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 29 days ago


Job description

Job Description:

Cresta is seeking a Embedded AI Expert to join our team and work closely with our customers in a tactical execution role. As an Embedded AI Expert, you will be responsible for configuring and maintaining our self-service product, as well as sharing insights and building insight/performance reports. Additionally, you will monitor trends and anomalies using the Cresta application, respond to ad hoc business requests for analysis, and provide ongoing mentoring and support for our customers' own analysts.

Responsibilities:

  • Work closely with customers to operationalize their program strategy using Cresta's self-service product, Opera.
  • Obtain Opera certification and utilize keyword and utterance rules to identify key moments in contact center conversations and set up resulting actions.
  • Utilize Cresta's voice analytics tools to understand emerging topics in contact center conversations and communicate them to the customer.
  • Monitor trends and anomalies using Cresta's tools to identify emerging topics and insights in customer conversations.
  • Use Cresta's self-service tools to align the customer's business priorities with the contact center operations.
  • Respond to ad hoc business requests for analysis and provide actionable insights derived from contact center data.
  • Offer ongoing mentoring and support to the customer's own analysts, guiding them in effectively utilizing Cresta tools.
  • Collaborate closely with the Cresta team and customers to drive success and maximize the value of Cresta's solutions.
  • 1-5 Years relevant experience

Qualifications:

  • Contact center experience preferred.
  • Excellent written and verbal communication skills to effectively communicate insights and collaborate with customers and internal teams.
  • Strong problem-solving skills to analyze complex data and provide actionable recommendations.
  • Comfortable working with SaaS software and quickly adapting to new tools and technologies.
  • Comfortable speaking with senior level executives at customers
  • Proficient in Microsoft Word, Excel, and PowerPoint/Google Slides.
  • Familiarity with speech analytics is preferred, but not critical.

Perks & Benefits:ย 

  • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family's needs
  • Flexible vacation time to promote a healthy work-life blend
  • Paid parental leave to support you and your family
  • Communication & Wellness Stipendย ย 
  • Comprehensive training and onboarding programs provided by Cresta.
  • Opportunities for growth and professional development within the organization.
  • Collaborative and supportive work environment with both Cresta and customer teams.

Compensation at Cresta:

Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range:ย $100,000 - $140,000 + Bonus + Equity

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.ย  If you are uncertain whether you have been contacted by an official Cresta employee, reach out toย recruiting@cresta.aiย