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Embedded Ai Engineer Jobs in Oregon (NOW HIRING)

Comet

DevRel

OR · On-site +1

$180/hr

Preferably based in San Francisco or the Bay Area : you'll be embedded in the local AI scene and representing Opik at events Nice to Have * An existing following or presence in the AI/developer ...

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Due to the sensitive nature of our engineering work, Anno.ai enforces strict digital footprint and ... Experience optimizing models for memory and CPU constrained systems (e.g., embedded systems ...

Deloitte

Lead Forward Deployed Engineer, Snowflake

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 Snowflake FDE, you will serve as the senior practitioner-leader embedded ...

Avetta, LLC

Product Manager Analytics & AI

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Partner with Data Engineering, Data Science, and Platform teams to evaluate and leverage AI ... Experience delivering embedded analytics experiences using visualization platforms such as Sisense ...

Tulip Interfaces

OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital ... Bachelor's degree in Engineering, Business, or related field strongly preferred Key ...

Tulip Interfaces

Continuous Improvement Project Manager

OR · On-site +1

$11K/mo

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital ... to engineering managers to executives * You're meticulously organized, able to prioritize in ...

TELCOR Inc

Forward Deployed Engineer

$125K - $165K/yr

... AI Systems team! If you are comfortable navigating ambiguity, have a builder mentality and ... This role will be embedded with customers and internal teams to help understand real operational ...

Wheelhouse

Partnership Support Engineer

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... engineers to investigate some issues themselves ... As we expand into API-first, embedded, and AI-driven integrations, maintaining reliability across ...

Standard Metrics

Data Solutions Engineer

OR · On-site +1

$114K - $137K/yr

You'll be deeply embedded with our Data Solutions and Customer Success teams, acting as a technical ... Deploy and optimize AI-powered tools and workflows for customers; educate customers and internal ...

Instacart

Forward Deployed Engineer

OR · On-site +1

Design, build, and deploy AI and agentic solutions tailored to each customer's specific ... Prior work in a forward deployed, embedded engineering, or professional services capacity.

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Showing results 21-40

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Oregon

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:

Embedded Ai Engineer jobs near you
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.

DevRel

Comet

OR • On-site, Remote

$180/hr

Full-time

Re-posted 3 days ago

Job description

The Role

We're looking for a DevRel who lives and breathes the AI builder ecosystem: someone who makes great content, gets excited about new models and frameworks the day they drop, and knows how to communicate technical ideas in a way that makes developers stop scrolling.

You'll be an IC embedded in the DevRel function (on the road for 20-30% of the time), working closely with the broader marketing team. Your north star is developer trust and adoption, earned through authenticity, technical credibility, and genuinely useful content, not marketing fluff.

If you've been building a following by showing people how to actually use agents in production, and you want to do that full-time with a product that developers already love, this is your role.

What You'll Do

Content Creation (your primary output)

  • Produce high-quality technical video content: tutorials, demos, explainers, live coding sessions: the kind of content the AI community actually watches and shares
  • Write technical blog posts, notebooks, and guides that showcase Opik in real-world agentic workflows
  • Build creative technical demos that highlight use cases for evaluation, tracing, and observability
  • Show up on social (X, LinkedIn, YouTube) as a genuine voice in the AI developer ecosystem

Community & Ecosystem

  • Be active in the communities where our users live: Discord, Slack groups, Reddit, GitHub, etc. discussions
  • Attend and speak at SF-based and national AI events (conferences, meetups, hackathons)
  • Identify and engage with influential developers and open source contributors
  • Run or support technical workshops, paper readings, and community programming

Product Feedback Loop

  • Surface developer sentiment and friction points back to Product and Engineering
  • Be a voice of the community inside the company: what are developers actually struggling with?
What You Bring
  • 3+ years of experience in developer advocacy, developer education, or a closely adjacent technical role
  • You are genuinely plugged into the AI ecosystem: you know the key researchers, practitioners, open source projects, and communities
  • Strong video content chops: you can script, record, edit, and publish compelling technical video without a production team
  • Technical depth: comfortable coding in Python, building LLM applications, and talking confidently about evals, agents, and observability
  • A natural communicator who can simplify complex ideas without dumbing them down
  • Preferably based in San Francisco or the Bay Area: you'll be embedded in the local AI scene and representing Opik at events
Nice to Have
  • An existing following or presence in the AI/developer community (YouTube, X, newsletter, podcast)
  • Experience with LLM evaluation frameworks, tracing tools, or observability platforms
  • Open source contributions or maintainer experience
  • Startup experience: you've worked in a fast, scrappy environment before
Why Comet
  • Your work will directly drive adoption of a product developers already love
  • You'll have creative autonomy: we want your authentic voice, not a brand script
  • Remote-first team
What We Offer
  • Competitive Base salary - $180-250K, based on proven experience, skills and location.
  • Competitive benefits package.
  • Flexible working hours and remote work options.
  • Opportunities for professional growth and development.
  • A collaborative and innovative work environment.
  • The chance to work with cutting-edge technologies and projects.
  • This role will be located in the USA, Preferably based in San Francisco or the Bay Area, working with a global team (large presence also in Europe and Israel) - some flexibility with work hours is required.

Apply