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Domain Expert Jobs in Oregon (NOW HIRING)

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

You'll become a domain expert in areas ranging from cloud infrastructure efficiency and coding agent "tokenomics," to GPU efficiency and enterprise-scale AI platform concerns. You should have a ...

By the end of the engagement, the domain expert is set up to run the solution long-term without the pod. Documentation, conventions, and the team rituals that sustain the change are part of what you ...

Our client seeks an experienced UAT Business Subject Matter Expert Tester to support the Transition ... Strong interpersonal and collaborative skills. • Marketplace domain expertise: * Deep ...

Showing results 41-60

Domain Expert information

See Oregon salary details

$121.6K

$133.5K

$164.4K

How much do domain expert jobs pay per year?

As of Aug 18, 2026, the average yearly pay for domain expert in Oregon is $133,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $135,900.00 per year, depending on experience, location, and employer.

What is a domain expert?

A Domain Expert is a professional with deep knowledge and specialized experience in a particular industry, field, or subject matter. They provide insights, best practices, and strategic guidance to help organizations solve complex problems, improve processes, and make informed decisions. Domain Experts often collaborate with cross-functional teams, provide training, and support decision-makers with industry-specific expertise. Their role is critical in industries such as technology, healthcare, finance, and engineering, where specialized knowledge drives innovation and efficiency.

What does a domain expert do?

A Domain Expert’s workday often involves providing specialized insights, reviewing and advising on complex cases or projects, and collaborating closely with cross-functional teams such as product developers, analysts, or consultants. You might attend meetings to share expertise, contribute to strategic planning, train colleagues, or validate key business decisions based on your knowledge. Flexibility is essential, as priorities can shift depending on organizational needs or client requirements. This collaborative and consultative role is both dynamic and impactful, offering opportunities to shape projects and mentor others in your field.

What skills and qualifications are needed to be a domain expert?

To thrive as a Domain Expert, you need deep subject matter knowledge in a specific industry or field, typically backed by relevant degrees or significant professional experience. Familiarity with industry-standard software, analytics tools, and certifications pertinent to the domain is often expected. Strong communication, critical thinking, and collaboration skills enable effective knowledge transfer and teamwork. These competencies are crucial for providing accurate guidance, ensuring best practices, and driving project or organizational success within your area of expertise.

How to become a domain expert?

To become a domain expert, gain extensive knowledge through education, training, and practical experience in the specific field. Developing specialized skills, staying updated with industry trends, and obtaining relevant certifications can also enhance expertise. Continuous learning and hands-on practice are essential for establishing authority in the domain.
Infographic showing various Domain Expert job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $133,533 per year, or $64.2 per hour.

Staff Software Engineer, AI Foundations

Temporal Technologies

OR • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Summary

We have an opening to hire a Staff Software Engineer, AI Foundations. 

Temporal provides a reliable foundation powering AI leaders such as OpenAI, NVIDIA, Cursor, Lovable, Replit, and others. Its adoption is also expanding to users spanning across a broad range of AI applications. These range from agents to data pipelines and everything in between.

The mission of the AI Foundations team is to accelerate Temporal adoption across the entire ecosystem. Our approach combines a deep understanding of use cases with technical principles such as computer systems and software design fundamentals.

If you thrive on blending theory and practice, then this is the right team for you. We are an action-oriented group that loves to ship fast and solve customer problems. We also seek thorough technical grounding for our work and invest in systems and practices that foster long-term success.

Agentic development is a huge focus. We maintain a set of agents skills that give Codex, Claude Code, and similar tools a major boost when writing Temporal applications. These are already unblocking a large backlog of projects among our customer base. They also are an extraordinary point of leverage for Temporal's mission, which has always been about accelerating developers as they build and operate reliable software. Working in this area puts you at the forefront of the agentic coding revolution.

Another major area of investment is our partner ecosystem. We developed a plugin system that makes it easy to add Temporal's durable execution to popular open source agent frameworks such as Pydantic AI, AI SDK by Vercel, Google ADK, OpenAI Agents SDK, and others. Getting these abstractions right involves both creativity and critical trade-off analysis. Many challenges of this flavor remain to be solved. As we make progress, we instill our learnings in our internal AI systems, ensuring that our people are always working to push the frontier.

We await the next AI breakthrough as eagerly as anyone, standing ready to shuffle our short-term priorities at any time. We know, however, that our long-term success and impact comes from attention to technical fundamentals and persistent trends.

Most of Temporal's work is open source-see for yourself here: https://github.com/temporalio

What You Will Do

  • Work as a software engineer
  • Maintain and expand a deep understanding of agentic coding
  • Design and build agentic coding systems that we can trust to deliver high-quality outputs
  • Design and implement Temporal AI SDK features supporting a broad variety of frameworks and libraries.
  • Develop a deep understanding of AI application development patterns and techniques, including emerging approaches and architectures.
  • Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience.
  • Work with multiple programming languages: Python and TypeScript, Java, Go.
  • Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples.
  • Work directly with our developer community to debug issues that need expert attention and get feedback on Temporal features and APIs.
  • Write public technical documentation describing Temporal concepts and APIs.
  • Go the extra mile to support a customer in need, on the rare occasion that our teams' engineering expertise is needed.
  • Travel to meet your coworkers for a week once or twice a year.
  • Attend the occasional developer conference to talk about how great Temporal is (optional).

What You Won't Do

  • Work as a Data Scientist, Data Analyst, Devops SWE, or SRE.
  • Work in an office (unless you want to, but you'd be by yourself). Temporal is a fully-remote company.
  • Commit code that's poorly-tested or works "most of the time". Temporal aspires to be "Reliable as Gravity", and we expect our code to be the same.
  • Work behind closed doors. Our work is open source-that means PRs and comments are open to the public, too.
  • Sit in meetings all day. We mostly communicate in writing, and use meetings mainly for status updates and thorny issues that need input from the whole group.
  • Wake up to pager alerts. We're extremely active in supporting our customers and the community, but we don't do 24/7 on-call.

What You'll Bring

  • 8+ years of professional work experience.
  • Experience and passion for harnessing generative AI, particularly for agents and coding.
  • A deep understanding of how to use AI to increase quality, not only to increase quantity. 
  • A sense of taste in code and software development practice. Your approach should be opinionated and thoughtful, but not dogmatic.
  • A track record of open source software contributions, including contributions to 3rd party libraries. 
  • Fluency in multiple programming languages, and an affinity for learning new ones.
  • Deep experience with concurrent programming-you should know how to use mutexes, atomics, and other concurrency primitives safely.
  • Experience designing APIs and writing documentation for publicly-available libraries or modules.
  • Strong technical communication skills-written and verbal-in English.
  • BS or MS in Computer Science (or a closely-related degree), or equivalent work experience writing production-grade software.

Nice to Have

  • Familiarity with Temporal's programming model (e.g. you've written an app on Temporal).
  • Experience building agents or other AI applications
  • Background in machine learning, model training, data science, or machine learning systems.
  • Experience contributing to the architecture and design of large-scale distributed systems.
  • Graduate degree in Computer Science.
Compensation
  • The estimated pay range for this role is $224,000 - $302,400
  • Additionally, this role is eligible to participate in Temporal's equity plan.