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Remote Integration Software Engineer Jobs in Beaverton, OR

Sr Software Engineer

Portland, OR ยท On-site +1

$95K - $124K/yr

Ensure that new systems integrate into current production cycles, assign file names according to ... A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work.

Senior Software Engineer - Database

Vancouver, WA ยท On-site +1

$111K - $150K/yr

Description VAST Data is looking for a Senior Software Engineer to join our growing team! This is a ... Knowledge of Python or Java for integration or tooling * Bachelor's, Master's or PhD in a related ...

Senior Software Engineer

Vancouver, WA ยท On-site +1

$128K - $169K/yr

As a Senior Full Stack Engineer , you will be a hands-on contributor to the frontend and backend ... Open to Canada and US-based remote candidates. * Enjoy a $20-per-day commuter benefit for every day ...

Field Sales Representative

Portland, OR ยท Remote

$21.25 - $29.25/hr

Your job isn't to be a software engineer; it's to be a connector. You'll identify businesses that ... Self-starter mentality - this is a remote-friendly role, and you'll own your own schedule and ...

Field Sales Representative

Vancouver, WA ยท Remote

$21 - $28.75/hr

Your job isn't to be a software engineer; it's to be a connector. You'll identify businesses that ... Self-starter mentality - this is a remote-friendly role, and you'll own your own schedule and ...

The Systems Engineer creates and integrates solutions and services. The Systems Engineer directs or ... Leads the configuration of hardware and software solutions. Evaluates product and service solutions.

Showing results 21-40

Remote Integration Software Engineer information

See Beaverton, OR salary details

$46.3K

$129.3K

$180.5K

How much do remote integration software engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote integration software engineer in Beaverton, OR is $129,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $145,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Integration Software Engineer vs Remote API Developer?

AspectRemote Integration Software EngineerRemote API Developer
Required CredentialsBachelor's in CS or related field, experience with integration toolsBachelor's in CS or related field, experience with API design
Work EnvironmentCollaborates with cross-functional teams, remote or hybridWorks on API development, testing, and documentation remotely
Industry UsageUsed in software, SaaS, and enterprise integration projectsCommon in web services, SaaS, and mobile app development
Search & Comparison IntentOften compared for integration roles involving systems and data flowCompared for API-specific development and design roles

The Remote Integration Software Engineer and Remote API Developer roles share similar credentials and work environments but focus on different aspects of software development. The Integration Engineer emphasizes connecting various systems, while the API Developer specializes in designing and building APIs. Both roles are vital in modern software ecosystems and often overlap in skills and industry usage.

What cities near Beaverton, OR are hiring for Remote Integration Software Engineer jobs? Cities near Beaverton, OR with the most Remote Integration Software Engineer job openings:
Infographic showing various Remote Integration Software Engineer job openings in Beaverton, OR as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $129,303 per year, or $62.2 per hour.
Software Engineer, ML Infrastructure

Software Engineer, ML Infrastructure

Serve Robotics

Vancouver, WA โ€ข On-site, Remote

$155K - $190K/yr

Full-time

Posted 29 days ago


Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.
Responsibilities
  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.
  • Build data discovery features for the platform.
  • Create and maintain search features such as natural language querying
  • Develop and maintain our orchestration and scheduling systems.
  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management
  • Build integrations with annotation providers to efficiently review large scale data preannotations
  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications
  • BS or MS in computer science with focus in data engineering and/or machine learning
  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows
  • Experience building data mining and search capabilities
  • Experience with both Python and SQL is required
  • Solid understanding of data distributions and their impact on ML Models
  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases
  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out
  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)
  • Experience working with Multi Modal data (Lidar, Camera, etc)
  • Experience with robotics systems
  • Experience optimizing large scale vector databases